Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)
暫譯: 使用 PyTorch 和 Scikit-Learn 的機器學習：用 Python 開發機器學習和深度學習模型（平裝本）

Raschka, Sebastian, Liu, Yuxi (Hayden), Dzhulgakov, Dmytro

Machine Learning with PyTorch and Scikit-Learn: Develop machine learning and deep learning models with Python (Paperback)

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商品描述

Machine Learning with PyTorch and Scikit-Learn is a comprehensive guide to machine learning and deep learning with PyTorch. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems.

Packed with clear explanations, visualizations, and examples, this book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, we teach you the principles to build models and applications for yourself.

Updated to cover deep learning using PyTorch, this book also introduces readers to the latest additions to scikit-learn. Moreover, this book covers various machine learning and deep learning techniques for text and image classification. You will also learn about generative adversarial networks (GANs) for generating new data and training intelligent agents with reinforcement learning. Finally, this new edition is also expanded to cover the latest trends in deep learning, including introductions to graph neural networks and large-scale transformers used for natural language processing (NLP).

This PyTorch book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.

商品描述(中文翻譯)

《使用 PyTorch 和 Scikit-Learn 的機器學習》是一本全面介紹機器學習和深度學習的指南，專注於 PyTorch。它既是一個逐步的教程，也是一本你在構建機器學習系統時會不斷參考的資料。

本書內容充實，包含清晰的解釋、視覺化和範例，深入涵蓋所有基本的機器學習技術。雖然有些書籍僅教你遵循指示，但這本機器學習書籍則教你建立模型和應用的原則。

本書已更新以涵蓋使用 PyTorch 的深度學習，並介紹了 scikit-learn 的最新功能。此外，本書還涵蓋了各種用於文本和圖像分類的機器學習和深度學習技術。你還將學習生成對抗網絡（GANs），用於生成新數據和使用強化學習訓練智能代理。最後，這個新版本還擴展了內容，涵蓋了深度學習的最新趨勢，包括圖神經網絡和用於自然語言處理（NLP）的大規模變壓器的介紹。

這本 PyTorch 書籍是你使用 Python 進行機器學習的夥伴，無論你是剛接觸機器學習的 Python 開發者，還是想深入了解最新發展的讀者。

作者簡介

Sebastian Raschka

Sebastian Raschka is an Assistant Professor of Statistics at the University of Wisconsin-Madison focusing on machine learning and deep learning research. As Lead AI Educator at Grid.ai, Sebastian plans to continue following his passion for helping people get into machine learning and artificial intelligence.

Yuxi (Hayden) Liu

Yuxi (Hayden) Liu is a Software Engineer, Machine Learning at Google. He is developing and improving machine learning models and systems for ads optimization on the largest search engine in the world.

Vahid Mirjalili

Vahid Mirjalili is a deep learning researcher focusing on CV applications. Vahid received a Ph.D. degree in both Mechanical Engineering and Computer Science from Michigan State University.

作者簡介(中文翻譯)

**Sebastian Raschka**

Sebastian Raschka 是威斯康辛大學麥迪遜分校的統計學助理教授，專注於機器學習和深度學習研究。作為 Grid.ai 的首席人工智慧教育者，Sebastian 計劃繼續追隨他幫助人們進入機器學習和人工智慧的熱情。

**Yuxi (Hayden) Liu**

Yuxi (Hayden) Liu 是 Google 的軟體工程師，專注於機器學習。他正在為全球最大的搜尋引擎開發和改進廣告優化的機器學習模型和系統。

**Vahid Mirjalili**

Vahid Mirjalili 是一位專注於計算機視覺應用的深度學習研究者。Vahid 在密西根州立大學獲得了機械工程和計算機科學的博士學位。

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