Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning , (Hardcover)
This book is the ultimate resource for mastering cutting-edge technologies in machine learning and deep learning with Python.
Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning , (Hardcover)
Artigo n.º: 88388629

Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning , (Hardcover)

Artigo n.º: 88388629

STD 1284583

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  • This book is a comprehensive guide to understanding and implementing cutting-edge machine learning and deep learning techniques using the Python programming language. Written with both beginners and experienced developers in mind, this book provides a thorough overview of the foundations of machine learning and deep learning, including mathematical fundamentals, optimization algorithms and neural networks.Starting with the basics of Python programming, this book gradually builds up to more advanced topics, such as artificial and convolutional neural networks, generative adversarial networks. Each chapter is filled with clear explanations, practical examples, and step-by-step tutorials that allow readers to gain a deep understanding of the underlying principles of machine learning and deep learning.Throughout the book, readers will also learn how to use popular Python libraries and packages, including numpy, pandas, scikit-learn, TensorFlow, and Keras, to build and train powerful machine learning and deep learning models for a variety of real-world applications, such as regressions and classification, K-means, support vector machines, and recommender systems.Whether you are a seasoned data scientist or a beginner looking to enter the world of machine learning, this book is the ultimate resource for mastering these cutting-edge technologies and taking your skills to the next level. High-school level of mathematical knowledge and all levels (including entry-level) of programming skills are good to start, all Python codes are available at Github.com.
Book formatHardcover
Fiction/nonfictionNon-Fiction
GenreComputing & Internet
Publication dateFebruary, 2023
Pages376
SubgenreArtificial Intelligence
Series titleNo Series
Edition1
PublisherJames Chen
Original languagesEnglish
LanguageEnglish
Edu focusTechnology
Educational levelHigh School
Is collectibleN
Binding typeCase Binding
Recording time0 min
Retail packagingSingle Piece
Assembled product dimensions (l x w x h)6.00 x 0.88 x 9.00 in (15.2 x 2.2 x 22.9 cm)
Assembled product weight1.44 lb (650 grams)
Bisac subject headingComputers

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Machine Learning and Deep Learning With Python: Use Python Jupyter to Implement Mathematical Concepts, Machine Learning , (Hardcover)

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Perguntas e respostas do cliente

  • Pergunta: What prior knowledge do I need to start this book?

    Resposta: A high-school level of mathematical knowledge and any level of programming skills is recommended.
  • Pergunta: Are the Python codes available for practice?

    Resposta: Yes, all Python codes used in the book are available on GitHub.
  • Pergunta: What types of machine learning techniques will I learn?

    Resposta: You'll learn techniques including artificial and convolutional neural networks, generative adversarial networks, and more.

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