Artificial Intelligence with Python

Artificial Intelligence with Python
Author: Alberto Artasanchez,Prateek Joshi
Publsiher: Packt Publishing Ltd
Total Pages: 618
Release: 2020-01-31
ISBN: 1839216077
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence with Python Book Excerpt:

New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.

Artificial Intelligence with Python Cookbook

Artificial Intelligence with Python Cookbook
Author: Ben Auffarth
Publsiher: Packt Publishing Ltd
Total Pages: 468
Release: 2020-10-30
ISBN: 1789137969
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence with Python Cookbook Book Excerpt:

Work through practical recipes to learn how to solve complex machine learning and deep learning problems using Python Key FeaturesGet up and running with artificial intelligence in no time using hands-on problem-solving recipesExplore popular Python libraries and tools to build AI solutions for images, text, sounds, and imagesImplement NLP, reinforcement learning, deep learning, GANs, Monte-Carlo tree search, and much moreBook Description Artificial intelligence (AI) plays an integral role in automating problem-solving. This involves predicting and classifying data and training agents to execute tasks successfully. This book will teach you how to solve complex problems with the help of independent and insightful recipes ranging from the essentials to advanced methods that have just come out of research. Artificial Intelligence with Python Cookbook starts by showing you how to set up your Python environment and taking you through the fundamentals of data exploration. Moving ahead, you’ll be able to implement heuristic search techniques and genetic algorithms. In addition to this, you'll apply probabilistic models, constraint optimization, and reinforcement learning. As you advance through the book, you'll build deep learning models for text, images, video, and audio, and then delve into algorithmic bias, style transfer, music generation, and AI use cases in the healthcare and insurance industries. Throughout the book, you’ll learn about a variety of tools for problem-solving and gain the knowledge needed to effectively approach complex problems. By the end of this book on AI, you will have the skills you need to write AI and machine learning algorithms, test them, and deploy them for production. What you will learnImplement data preprocessing steps and optimize model hyperparametersDelve into representational learning with adversarial autoencodersUse active learning, recommenders, knowledge embedding, and SAT solversGet to grips with probabilistic modeling with TensorFlow probabilityRun object detection, text-to-speech conversion, and text and music generationApply swarm algorithms, multi-agent systems, and graph networksGo from proof of concept to production by deploying models as microservicesUnderstand how to use modern AI in practiceWho this book is for This AI machine learning book is for Python developers, data scientists, machine learning engineers, and deep learning practitioners who want to learn how to build artificial intelligence solutions with easy-to-follow recipes. You’ll also find this book useful if you’re looking for state-of-the-art solutions to perform different machine learning tasks in various use cases. Basic working knowledge of the Python programming language and machine learning concepts will help you to work with code effectively in this book.

Beginners Artificial Intelligence and Python Programming

Beginners  Artificial Intelligence and Python Programming
Author: Olubayo Adekanmbi
Publsiher: eBookIt.com
Total Pages: 150
Release: 2020-11-20
ISBN: 0998401420
Category: Computers
Language: EN, FR, DE, ES & NL

Beginners Artificial Intelligence and Python Programming Book Excerpt:

The book demystifies the concept of Artificial Intelligence (AI) in a friendly manner to kids, with the goal of stimulating their curiosity and driving their interest in learning about AI. After the generic introductions to the core concepts like machine learning, deep learning and reinforcement learning, the students are guided into step-by-step programming with Python. The intention is to transit beyond the traditional code-first approach to understanding broad concepts that will sufficiently motivate a desire to learn coding. The book is useful for students in Grades 4-8 and any adult who wants to learn the fundamental principles in a fun-filled and exciting way.

Introduction to Artificial Intelligence using Python

Introduction to Artificial Intelligence using Python
Author: Aditya Tandon,Sonam Soni
Publsiher: Book Bazooka Publication
Total Pages: 214
Release: 2020-01-24
ISBN: 9386895803
Category: Computers
Language: EN, FR, DE, ES & NL

Introduction to Artificial Intelligence using Python Book Excerpt:

Since the invention of computers or machines, their capability to perform various tasks has experienced an exponential growth. Humans have developed the power of computer systems in terms of their diverse working domains, their increasing speed, and reducing size with respect to time.

Artificial Intelligence with Python Complete Self Assessment Guide

Artificial Intelligence with Python Complete Self Assessment Guide
Author: Gerardus Blokdyk
Publsiher: 5starcooks
Total Pages: 135
Release: 2018-01-05
ISBN: 9781489149534
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence with Python Complete Self Assessment Guide Book Excerpt:

Do the Artificial Intelligence with Python decisions we make today help people and the planet tomorrow? Who is the main stakeholder, with ultimate responsibility for driving Artificial Intelligence with Python forward? How much are sponsors, customers, partners, stakeholders involved in Artificial Intelligence with Python? In other words, what are the risks, if Artificial Intelligence with Python does not deliver successfully? How to Secure Artificial Intelligence with Python? How do we keep improving Artificial Intelligence with Python? This extraordinary Artificial Intelligence with Python self-assessment will make you the assured Artificial Intelligence with Python domain veteran by revealing just what you need to know to be fluent and ready for any Artificial Intelligence with Python challenge. How do I reduce the effort in the Artificial Intelligence with Python work to be done to get problems solved? How can I ensure that plans of action include every Artificial Intelligence with Python task and that every Artificial Intelligence with Python outcome is in place? How will I save time investigating strategic and tactical options and ensuring Artificial Intelligence with Python opportunity costs are low? How can I deliver tailored Artificial Intelligence with Python advise instantly with structured going-forward plans? There's no better guide through these mind-expanding questions than acclaimed best-selling author Gerard Blokdyk. Blokdyk ensures all Artificial Intelligence with Python essentials are covered, from every angle: the Artificial Intelligence with Python self-assessment shows succinctly and clearly that what needs to be clarified to organize the business/project activities and processes so that Artificial Intelligence with Python outcomes are achieved. Contains extensive criteria grounded in past and current successful projects and activities by experienced Artificial Intelligence with Python practitioners. Their mastery, combined with the uncommon elegance of the self-assessment, provides its superior value to you in knowing how to ensure the outcome of any efforts in Artificial Intelligence with Python are maximized with professional results. Your purchase includes access details to the Artificial Intelligence with Python self-assessment dashboard download which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next. Your exclusive instant access details can be found in your book.

Artificial Intelligence with Python

Artificial Intelligence with Python
Author: Prateek Joshi
Publsiher: Packt Publishing Ltd
Total Pages: 446
Release: 2017-01-27
ISBN: 1786469677
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence with Python Book Excerpt:

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing world of intelligent apps using this comprehensive guide Enter the world of Artificial Intelligence, explore it, and create your own applications Work through simple yet insightful examples that will get you up and running with Artificial Intelligence in no time Who This Book Is For This book is for Python developers who want to build real-world Artificial Intelligence applications. This book is friendly to Python beginners, but being familiar with Python would be useful to play around with the code. It will also be useful for experienced Python programmers who are looking to use Artificial Intelligence techniques in their existing technology stacks. What You Will Learn Realize different classification and regression techniques Understand the concept of clustering and how to use it to automatically segment data See how to build an intelligent recommender system Understand logic programming and how to use it Build automatic speech recognition systems Understand the basics of heuristic search and genetic programming Develop games using Artificial Intelligence Learn how reinforcement learning works Discover how to build intelligent applications centered on images, text, and time series data See how to use deep learning algorithms and build applications based on it In Detail Artificial Intelligence is becoming increasingly relevant in the modern world where everything is driven by technology and data. It is used extensively across many fields such as search engines, image recognition, robotics, finance, and so on. We will explore various real-world scenarios in this book and you'll learn about various algorithms that can be used to build Artificial Intelligence applications. During the course of this book, you will find out how to make informed decisions about what algorithms to use in a given context. Starting from the basics of Artificial Intelligence, you will learn how to develop various building blocks using different data mining techniques. You will see how to implement different algorithms to get the best possible results, and will understand how to apply them to real-world scenarios. If you want to add an intelligence layer to any application that's based on images, text, stock market, or some other form of data, this exciting book on Artificial Intelligence will definitely be your guide! Style and approach This highly practical book will show you how to implement Artificial Intelligence. The book provides multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

Python Machine Learning

Python Machine Learning
Author: Ryan Turner
Publsiher: Publishing Factory
Total Pages: 394
Release: 2020-04-18
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Python Machine Learning Book Excerpt:

Are you a novice programmer who wants to learn Python Machine Learning? Are you worried about how to translate what you already know into Python? This book will help you overcome those problems! As machines get ever more complex and perform more and more tasks to free up our time, so it is that new ideas are developed to help us continually improve their speed and abilities. One of these is Python and in Python Machine Learning: 3 books in 1 - The Ultimate Beginner's Guide to Learn Python Machine Learning Step by Step using Scikit-Learn and Tensorflow, you will discover information and advice on: Book 1 • What machine learning is • The history of machine learning • Approaches to machine learning • Support vector machines • Machine learning and neural networks • The Internet of Things (IoT) • The future of machine learning • And more… Book 2 • The principles surrounding Python • Different types of networks so you can choose what works best for you • Features of the system • Real world feature engineering • Understanding the techniques of semi-supervised learning • And more… Book 3 • How advanced tensorflow can be used • Neural network models and how to get the most from them • Machine learning with Generative Adversarial Networks • Translating images with cross domain GANs • TF clusters and how to use them • How to debug TF models • And more… This book has been written specifically for beginners and the simple, step by step instructions and plain language make it an ideal place to start for anyone who has a passing interest in this fascinating subject. Python really is an amazing system and can provide you with endless possibilities when you start learning about it. Get a copy of Python Machine Learning today and see where the future lies.

Anticipatory Systems Humans Meet Artificial Intelligence

Anticipatory Systems  Humans Meet Artificial Intelligence
Author: Mu-Yen Chen,Edwin Lughofer,Jose De Jesus Rubio,Yenchun Jim Wu
Publsiher: Frontiers Media SA
Total Pages: 135
Release: 2021-09-13
ISBN: 2889712885
Category: Science
Language: EN, FR, DE, ES & NL

Anticipatory Systems Humans Meet Artificial Intelligence Book Excerpt:

Machine Learning with Python

Machine Learning with Python
Author: William Dimick
Publsiher: Unknown
Total Pages: 144
Release: 2021-03-13
ISBN: 9781914412240
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Machine Learning with Python Book Excerpt:

Do you want to find out how to use Python code to manage and improve Artificial intelligence and Deep learning? Are you looking for an easy training guide for programmers and data scientists? If yes, then keep reading... Artificial intelligence is a branch of computer science that seeks to develop computer systems that are capable of human-like intelligence. You can have artificial intelligence that replicates the human mind implemented this way rather than just having a computer system that mimics and the entire human brain. The latter is probably something very far off, if it is ever achieved. Artificially intelligent systems run independently. Computer systems based on artificial intelligence need to be trained, but once trained, they can operate on their own without human intervention. In the case of human intelligence, the more data you are exposed to, the better you get at solving problems related to that data. Similarly, computer systems based on artificial intelligence self-adjust to make themselves perform better. This is quite a contrast with conventional computer systems, which only do what you tell them to do, and without humans rewriting the programs that run them, they don't get any better at what they do. This is a crucial point to focus on, because the kinds of systems that we are going to talk about in this book will adjust themselves and get better, without any human intervention whatsoever. Once they are deployed, the human operators might not even understand why the artificially intelligent computer system makes the decisions it does, or how it is making those decisions. This book covers: - Machine Learning - Concepts and Terms - Data Scrubbing - Data Mining Categories - Difference between Machine Learning and AI So, ready to get started? Order Now!

Python for Machine Learning

Python for Machine Learning
Author: Jason Brownlee,Zhe Ming Chng,Daniel Chung,Stefania Cristina,Mehreen Saeed,Adrian Tam
Publsiher: Machine Learning Mastery
Total Pages: 479
Release: 2022-05-25
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Python for Machine Learning Book Excerpt:

Using clear explanations and step-by-step tutorial lessons, you will learn the underlying mechanics of the Python language, the tools in its ecosystem, tips and tricks, and much more.

Python Advanced Guide to Artificial Intelligence

Python  Advanced Guide to Artificial Intelligence
Author: Giuseppe Bonaccorso,Armando Fandango,Rajalingappaa Shanmugamani
Publsiher: Packt Publishing Ltd
Total Pages: 764
Release: 2018-12-21
ISBN: 1789951720
Category: Computers
Language: EN, FR, DE, ES & NL

Python Advanced Guide to Artificial Intelligence Book Excerpt:

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problems Key FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for object detection, image classification, similarity learning, and moreBuild, deploy, and scale end-to-end deep neural network models in a production environmentBook Description This Learning Path is your complete guide to quickly getting to grips with popular machine learning algorithms. You'll be introduced to the most widely used algorithms in supervised, unsupervised, and semi-supervised machine learning, and learn how to use them in the best possible manner. Ranging from Bayesian models to the MCMC algorithm to Hidden Markov models, this Learning Path will teach you how to extract features from your dataset and perform dimensionality reduction by making use of Python-based libraries. You'll bring the use of TensorFlow and Keras to build deep learning models, using concepts such as transfer learning, generative adversarial networks, and deep reinforcement learning. Next, you'll learn the advanced features of TensorFlow1.x, such as distributed TensorFlow with TF clusters, deploy production models with TensorFlow Serving. You'll implement different techniques related to object classification, object detection, image segmentation, and more. By the end of this Learning Path, you'll have obtained in-depth knowledge of TensorFlow, making you the go-to person for solving artificial intelligence problems This Learning Path includes content from the following Packt products: Mastering Machine Learning Algorithms by Giuseppe BonaccorsoMastering TensorFlow 1.x by Armando FandangoDeep Learning for Computer Vision by Rajalingappaa ShanmugamaniWhat you will learnExplore how an ML model can be trained, optimized, and evaluatedWork with Autoencoders and Generative Adversarial NetworksExplore the most important Reinforcement Learning techniquesBuild end-to-end deep learning (CNN, RNN, and Autoencoders) modelsWho this book is for This Learning Path is for data scientists, machine learning engineers, artificial intelligence engineers who want to delve into complex machine learning algorithms, calibrate models, and improve the predictions of the trained model. You will encounter the advanced intricacies and complex use cases of deep learning and AI. A basic knowledge of programming in Python and some understanding of machine learning concepts are required to get the best out of this Learning Path.

Python Machine Learning

Python Machine Learning
Author: Hacktech Academy
Publsiher: Hacktech Academy
Total Pages: 112
Release: 2021-03-17
ISBN: 9781802350456
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Python Machine Learning Book Excerpt:

⭐️ 55% OFF for Bookstores! NOW at $ 34.95 instead of $ 54.19 ⭐️ If you want to learn how to design and master different Machine Learning algorithms quickly and easily, then keep reading. Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future! Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. Starting from scratch, Python Machine Learning explains how this happens, how machines build their experience and compounding knowledge. Data forms the core of Machine Learning because within data lie truths whose depths exceed our imagination. Some of the topics that we will discuss inside include: Understanding the differences between Machine Learning, Deep Learning, and Artificial Intelligence How to use Lists and Modules in Python The 12 essential libraries for Machine Learning in Python Artificial Neural Networks And Much More! Your Customers will never stop to use this book. While most books only focus on widespread details without going deeper into the different models and techniques, Python Machine Learning explains how to master the concepts of Machine Learning technology and helps you to understand how researchers are breaking the boundaries of Data Science to mimic human intelligence in machines using various Machine Learning algorithms. Would You Like To Know More? Buy it NOW and let your customers get addicted to this amazing book!

INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING A PRACTICAL APPROACH USING PYTHON

INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING A PRACTICAL APPROACH USING PYTHON
Author: Dr. G Vimala Kumari,Dr. N. Ashok Kumar,Dr. Babji Prasad Chapa,Dr P Srinivasa Rao
Publsiher: GCS PUBLISHERS
Total Pages: 229
Release: 2022-06-01
ISBN: 9394304495
Category: Antiques & Collectibles
Language: EN, FR, DE, ES & NL

INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING A PRACTICAL APPROACH USING PYTHON Book Excerpt:

This book aims to provide a broad view of the INTRODUCTION TO ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING: A PRACTICAL APPROACH USING PYTHON. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING are well known in various engineering fields. It provides a logical method of explaining various complicated concepts and stepwise methods to explain important topics. Each chapter is well supported with the necessary illustrations. All the chapters in the book are arranged in a proper sequence that permits each topic to build upon earlier studies. ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING are important research areas. The techniques developed in this area so far require to be summarized appropriately. In this book, the fundamental theories of these techniques are introduced. The brief content of this book is as follows- CHAPTER 1 INTRODUCTION TO PYTHON CHAPTER 2 INTRODUCTION OF AI CHAPTER 3 INTRODUCTION OF MACHINE LEARNING CHAPTER 4 PYTHON LIBRARIES FOR MACHINE LEARNING CHAPTER 5 EXPERT SYSTEMS CHAPTER 6 ANALYTICAL LEARNING CHAPTER 7 DEEP LEARNING CHAPTER 8 REINFORCEMENT LEARNING CHAPTER 9 NATURAL PROCESS PROGRAMMING CHAPTER 10 DERIVATIVE-FREE OPTIMIZATION GENETIC ALGORITHMS CHAPTER 11 APPLICATIONS & CASE STUDIES This book is original in style and method. No pains have been spared to make it as compact, perfect, and reliable as possible. Every attempt has been made to make the book a unique one. In particular, this book can be very useful for practitioners and engineers interested in this area. Hopefully, the chapters presented in this book have just done that.

Python Programming

Python Programming
Author: Clive Campbell
Publsiher: Independently Published
Total Pages: 214
Release: 2019-11-11
ISBN: 9781707498741
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Python Programming Book Excerpt:

Get Ready To Understand How To Get Started In The World Of Programming With Python, The Programming Language That Has Grown To Become The First Programming Language Taught In Universities Around The World! Learning python is increasingly becoming necessary, especially as concepts like artificial intelligence, big data, data science, data analytics, machine learning and many others become mainstream with new technologies like self-driving cars, robotics and many others. This probably explains why it is increasingly becoming the preferred first programming language taught in universities around the world - to prepare learners for the next big thing in computing. If you want to be part of this next big thing in computing, you too need to ride the wave by learning python! You won't get anywhere close to understanding machine learning, artificial intelligence, data science and other advanced computing concepts if you don't know python in and out. So where do you start? How do you learn python to be able to use it and set yourself up for the big things that are to come? What makes python such an important programming language to learn? If you have these and any other questions, this book is for you so keep reading! It covers the ins and outs of programming with python, including: The basics of python programming language, including how to install it and run it on different operating systems using different modes How to write your very first program on python The ins and outs of variables in python, including how to name your variables in python, complete with examples Inserting comments in python to keep your code clean How to leverage the power of operators in python How to take advantage of keywords and identifiers in python How to use statements in python How to use different operators in python The ins and outs of methods/functions in python Python methods or functions that you can use to manipulate lists The ins and outs of tuples, escape sequences, negative indexing, and slicing in python The different data types that are used in python, including how to use them effectively for different purposes How to achieve flow control in python using different statements How to unleash the full power of classes and objects in python How to work with dates and time in python Simple projects to get you started How to use python for intermediate and advanced stuff like data analysis, data processing and visualizations How to work with files on python, including different file modes, manipulating them etc. The basics of machine learning and the place of python in different advanced computing concepts And much more! Whether you are completely new to python or want to advance your knowledge of python, this book will hold you by the hand to unleash the python expert within you. It takes a beginner friendly approach, with examples, illustrations, exercises and sample projects to help you to apply what you learn immediately. Are you ready? Click Buy Now With 1-Click or Buy Now to get started!

AI Crash Course

AI Crash Course
Author: Hadelin de Ponteves
Publsiher: Packt Publishing Ltd
Total Pages: 360
Release: 2019-11-29
ISBN: 1838645551
Category: Computers
Language: EN, FR, DE, ES & NL

AI Crash Course Book Excerpt:

Unlock the power of artificial intelligence with top Udemy AI instructor Hadelin de Ponteves. Key FeaturesLearn from friendly, plain English explanations and practical activitiesPut ideas into action with 5 hands-on projects that show step-by-step how to build intelligent softwareUse AI to win classic video games and construct a virtual self-driving carBook Description Welcome to the Robot World ... and start building intelligent software now! Through his best-selling video courses, Hadelin de Ponteves has taught hundreds of thousands of people to write AI software. Now, for the first time, his hands-on, energetic approach is available as a book. Starting with the basics before easing you into more complicated formulas and notation, AI Crash Course gives you everything you need to build AI systems with reinforcement learning and deep learning. Five full working projects put the ideas into action, showing step-by-step how to build intelligent software using the best and easiest tools for AI programming, including Python, TensorFlow, Keras, and PyTorch. AI Crash Course teaches everyone to build an AI to work in their applications. Once you've read this book, you're only limited by your imagination. What you will learnMaster the basics of AI without any previous experienceBuild fun projects, including a virtual-self-driving car and a robot warehouse workerUse AI to solve real-world business problemsLearn how to code in PythonDiscover the 5 principles of reinforcement learningCreate your own AI toolkitWho this book is for If you want to add AI to your skillset, this book is for you. It doesn't require data science or machine learning knowledge. Just maths basics (high school level).

Artificial Intelligence in Finance

Artificial Intelligence in Finance
Author: Yves Hilpisch
Publsiher: O'Reilly Media
Total Pages: 478
Release: 2020-10-14
ISBN: 1492055409
Category: Business & Economics
Language: EN, FR, DE, ES & NL

Artificial Intelligence in Finance Book Excerpt:

The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

Artificial Intelligence Applications and Innovations

Artificial Intelligence Applications and Innovations
Author: Lazaros Iliadis,Ilias Maglogiannis,Vassilis Plagianakos
Publsiher: Springer
Total Pages: 276
Release: 2018-05-21
ISBN: 3319920162
Category: Computers
Language: EN, FR, DE, ES & NL

Artificial Intelligence Applications and Innovations Book Excerpt:

This book constitutes the refereed proceedings of 4 workshops held at the 14th IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2018, held in Rhodes, Greece, in May 2018. The workshops were the Workshop on Semantics in the Deep: Semantic Analytics for Big Data, SEDSEAL 2018; the Third Workshop on 5G - Putting Intelligence to the Network Edge, 5G-PINE 2018; the 7th Mining Humanistic Data Workshop, MHDW 2018; and the Workshop on Intelligent Cloud and IOT Paradigms in EHealth, HEALTHIOT 2018. The 19 full papers and 5 short papers presented were carefully reviewed and selected from a total of 53 submissions: SEDSEAL accepted 2 full papers out of 5 submissions, 5G-PINE 6 full and one short paper out of 24, MHDW 7 full and 4 short papers out of 15, and HEALTHIOT 4 full papers out of 9. The papers cover topics such as AI in 5G and telecommunications, AI and e-health services, AI in 5G networks, incremental learning, clustering, AI in text mining, visual data analytics, AI in molecular biology, DNA, RNA, proteins, big data analytics, Internet of Things and recommender systems, and AI in biomedical applications.

Python Machine Learning Illustrated Guide For Beginners Intermediates

Python Machine Learning Illustrated Guide For Beginners   Intermediates
Author: William Sullivan
Publsiher: PublishDrive
Total Pages: 148
Release: 2019-08-20
ISBN: 1928374650XXX
Category: Computers
Language: EN, FR, DE, ES & NL

Python Machine Learning Illustrated Guide For Beginners Intermediates Book Excerpt:

Python Machine Learning Illustrated Guide For Beginners & Intermediates Machines Can Learn ?! Automation and systematization is taking over the world. Slowly but surely we continuously see the rapid expansion of artificial intelligence, self-check out cash registers, automated phone lines, people-less car-washes , etc. The world is changing, find out how python programming ties into machine learning so you don't miss out on this next big trend! This is your beginner's step by step guide with illustrated pictures! Let's face it, machine learning is here to stay for the foreseeable future and will impact the lives billions worldwide! Drastically changing the world we live in the most fundamental ways, from our perceptions, life-style, thinking and in other aspects as well. What You Will Learn Linear & Polynomial Regression Support Vector Machines Decision Trees Random Forest KNN Algorithm Naive Bayes Algorithm Unsupervised Learning Clustering Cross Validation Grid Search And, much, much more! If you want to learn more about python machine learning it is highly recommended you start from the ground up by using this book. Normally books on this subject matter are expensive! Why not start off by making a small and affordable investment with your illustrated beginners guide that walks you through python machine learning step by step Why choose this book? Addresses Fundamental Concepts Goes Straight To The Point, uNo fluff or Nonsense Practical Examples High Quality Diagrams "Noob friendly" (Good For Beginners & Intermediates) Contains Various Aspects of Machine Learning Endorses Learn "By Doing Approach" Concise And To The Point I been working tirelessly to provide you quality books at an affordable price. I believe this book will give you the confidence to tackle python machine learning at a fundamental level. What are you waiting for? Make the greatest investment in YOUR knowledge base right now. Buy your copy now!

Python for Beginners

Python for Beginners
Author: Nathan Bazylewicz
Publsiher: Unknown
Total Pages: 246
Release: 2020-05-26
ISBN: 1928374650XXX
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Python for Beginners Book Excerpt:

This book is for you if you always wanted to learn computer programming. Python is easy to learn. The learning curve is very gradual. Today, we live in the era of Artificial Intelligence. Self-driving cars, customized product recommendations, real-time pricing, speech and facial recognition are just a few examples proving this truth. Also, think about medical diagnostics or automation of mundane and repetitive labor tasks; all these highlight the fact that we live in interesting times. From research topics to projects and applications in different stages of production, there is a lot going on in the world of Machine Learning. Machines and automation represent a huge part of our daily life. They are becoming part of our experience and existence. This is Machine Learning. Artificial Intelligence is currently one of the most thriving fields any programmer would wish to delve into, and for a good reason: this is the future! Simply put, Machine Learning is about teaching machines to think and make decisions as we would. The difference between the way machines learn and the way we do is that while for the most part we learn from experiences, machines learn from data. In this guide, Bazylewicz will introduce you to some of the best resources to learn Python from scratch. In a matter of no time, you will be writing code like a professional. You will learn: History of Python What is Python Installing Python Writing the First Python Program Practice Exercise Keywords and Identifiers in Python Programming Language Data Types in Python Lists in Python Python Sets Oriented Programming in Python The Conditional Statements in Python Machine Learning Algorithms Essential Libraries for Machine Learning in Python Data Science And more.... Python programming has become one of the most common programming languages people use. Everything that it does for the coding world is bringing a live language that can be used in software. It helps one to get through machines and any coded messages in any software that is already there. Even if you have never used computer programs this guide will help you to understand step by step how to learn Python Programming quickly. It may seem daunting, but take it slow, and give it a chance, and you will be making your own programs in no time. Click the BUY button and download it now.

Artificial Intelligence with Python Complete Self Assessment Guide

Artificial Intelligence with Python Complete Self Assessment Guide
Author: Gerardus Blokdyk
Publsiher: Createspace Independent Publishing Platform
Total Pages: 122
Release: 2017-07-25
ISBN: 9781973888482
Category: Electronic Book
Language: EN, FR, DE, ES & NL

Artificial Intelligence with Python Complete Self Assessment Guide Book Excerpt:

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