Hands-on Machine Learning with Scikit-Learn, Keras, and Tens

Now fully updated, this bestselling book uses concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow 2--to help users gain an intuitive understanding of the concepts and tools for building intelligent systems.t systems.

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Detaliile produsului

Categoria: Computer Vision & Pattern Recognition, Neural Networks, Natural Language Processing, International law, Applications of computing
Autor: Aur�Lien G�Ron
Editura: O'reilly Media
An aparitie: 2019

Editie: Paperback

Format: 176 x 233 x 33 mm

Nr. pagini: 856

Limba: English

Cod: BRT9781492032649

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Hands-on Machine Learning with Scikit-Learn, Keras, and Tens

De (autor): Aur�Lien G�Ron

Hands-on Machine Learning with Scikit-Learn, Keras, and Tens

De (autor): Aur�Lien G�Ron

Descrierea produsului

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Python Machine Learning, Second Edition - Sebastian Raschka

Python Machine Learning, Third Edition - Sebastian Raschka

Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data - Ankur A. Patel

Python Machine Learning by Example - Third Edition: Build intelligent systems using Python, TensorFlow 2, PyTorch, and scikit-learn - Yuxi (hayden) Liu

Python for Probability, Statistics, and Machine Learning - José Unpingco

Machine Learning for Engineers: Using Data to Solve Problems for Physical Systems - Ryan G. Mcclarren

Algorithms of the Intelligent Web, Second Edition - Dmitry Babenko

Computer Programming And Cyber Security for Beginners: This Book Includes: Python Machine Learning, SQL, Linux, Hacking with Kali Linux, Ethical Hacki - Zach Codings

Applied Reinforcement Learning with Python: With Openai Gym, Tensorflow, and Keras - Taweh Beysolow Ii

Machine Learning For Humans: Introduction to Machine Learning with Python - Vishal Maini

Mastering Python - Second Edition: Write powerful and efficient code using the full range of Python's capabilities - Rick Van Hattem

Practical Explainable AI Using Python: Artificial Intelligence Model Explanations Using Python-Based Libraries, Extensions, and Frameworks - Pradeepta Mishra

Applied Machine Learning and AI for Engineers: Solve Business Problems That Can't Be Solved Algorithmically - Jeff Prosise

Bioinformatics with Python Cookbook - Third Edition: Use modern Python libraries and applications to solve real-world computational biology problems - Tiago Antao

Agile Data Science 2.0: Building Full-Stack Data Analytics Applications with Spark - Russell Jurney

Generative AI with Python and TensorFlow 2: Create images, text, and music with VAEs, GANs, LSTMs, Transformer models - Joseph Babcock

Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning - Kyle Gallatin

Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics - Thomas Nield