Description: Further DetailsTitle: Artificial Intelligence with Python CookbookCondition: NewSubtitle: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6ISBN-10: 1789133963EAN: 9781789133967ISBN: 9781789133967Publisher: Packt Publishing LimitedFormat: PaperbackRelease Date: 10/30/2020Description: Work through practical recipes to learn how to solve complex machine learning and deep learning problems using PythonKey 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.Language: EnglishCountry/Region of Manufacture: GBItem Height: 93mmItem Length: 75mmAuthor: Ben AuffarthGenre: Computing & InternetRelease Year: 2020 Missing Information?Please contact us if any details are missing and where possible we will add the information to our listing.
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Book Title: Artificial Intelligence with Python Cookbook
Title: Artificial Intelligence with Python Cookbook
Subtitle: Proven recipes for applying AI algorithms and deep learning techn
ISBN-10: 1789133963
EAN: 9781789133967
ISBN: 9781789133967
Release Date: 10/30/2020
Release Year: 2020
Country/Region of Manufacture: GB
Item Height: 93mm
Genre: Computing & Internet
Number of Pages: 468 Pages
Language: English
Publication Name: Artificial Intelligence with Python Cookbook : Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2. x and Pytorch 1. 6
Publisher: Packt Publishing, The Limited
Subject: Intelligence (Ai) & Semantics, Neural Networks, Data Processing
Publication Year: 2020
Type: Textbook
Subject Area: Computers
Item Length: 3.6 in
Author: Ben Auffarth
Item Width: 3 in
Format: Trade Paperback
