Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
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Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
Artificial Intelligence with Python Cookbook provides practical recipes to solve complex machine learning and deep learning problems using Python, making it a valuable resource for Python developers, data scientists, machine learning engineers, and deep learning practitioners.
Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
Artikelnr.: 87052114

Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch

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Artikelnr.: 87052114

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Artificial Intelligence with Python Cookbook provides practical recipes to solve complex machine learning and deep learning problems using Python, making it a valuable resource for Python developers, data scientists, machine learning engineers, and deep learning practitioners.
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Wat opvalt

Hands-On Recipes
Offers practical, proven recipes for applying AI algorithms, ensuring readers can implement techniques directly into their projects without complicated theory.
Framework Versatility
Covers both TensorFlow 2.x and PyTorch 1.6, allowing users to learn and adapt to the most popular deep learning frameworks in the industry.
Up-to-Date Techniques
Equips readers with cutting-edge AI techniques, reflecting the latest advancements in deep learning, making it relevant for current industry demands and trends.

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Shop Artificial Intelligence with Python Cookbook: Proven recipes for applying AI algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6 online at a best price in Nederlands. 1789133963
  • 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 DescriptionArtificial 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 forThis 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.Table of ContentsGetting Started with Artificial Intelligence in PythonAdvanced Topics in Supervised Machine LearningPatterns, Outliers, and RecommendationsProbabilistic ModelingHeuristic Search Techniques and Logical InferenceDeep Reinforcement LearningAdvanced Image ApplicationsWorking with Moving ImagesDeep Learning in Audio and SpeechNatural Language ProcessingArtificial Intelligence in Production
Publisher Packt Publishing
Publication date 30 Oct. 2020
Language English
Print length 468 pages
ISBN-10 1789133963
ISBN-13 978-1789133967
Item weight 874 g
Dimensions 19.05 x 2.69 x 23.5 cm

Voor wie is dit geschikt?

Suitable For
  • AI Enthusiasts

    Individuals eager to explore AI concepts through practical examples and comprehensive recipes focused on TensorFlow and PyTorch.

  • Data Scientists

    Practitioners looking to enhance their skill set in AI and deep learning implementation with hands-on, recipe-style guidance.

  • Students

    Learners studying AI or machine learning who benefit from clear, structured instructions and projects to reinforce their understanding.

Not Suitable For
  • Complete Beginners

    Those with no prior programming or AI knowledge may struggle with concepts and technical details presented in the book.

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AI & Machine Learning Editorial Review

Artificial Intelligence With Python Cookbook Proven Recipes For Applying AI Algorithms And Deep Learning Techniques Using TensorFlow 2.x And PyTorch 1.6 is a comprehensive guide with clear code examples that cater to both beginners and experienced programmers. Covering topics from traditional AI methods to cutting-edge advancements, this book is praised for its practical approach and engaging style, allowing readers to jump into coding quickly without lengthy theoretical discussions. Many have highlighted the ability to easily reference code examples and explore diverse AI areas, such as genetic algorithms and natural language processing, ensuring a well-rounded understanding of machine learning problems.

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  • Covers a wide range of AI topics
  • Easy to follow with clear code examples
  • Practical approach avoids deep theoretical discussions
  • Engaging style for both beginners and experts
  • Offers online resources for deeper learning

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  • Not ideal for those seeking extensive formulas and derivations

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  • Learn how to solve complex machine learning and deep learning problems
  • Provides practical recipes and hands-on problem-solving solutions
  • Covers a wide range of AI techniques from the essentials to advanced methods
  • Gain the knowledge and tools to effectively approach complex problems
  • Ideal for those with basic working knowledge of Python and machine learning
  • Valuable resource for anyone looking for state-of-the-art solutions in various use cases

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