Python Machine Learning : Machine Learning and Deep Learning with Python, scikit - learn, and TensorFlow 2 /
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. 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...
Lưu vào:
| Tác giả chính: | |
|---|---|
| Đồng tác giả: | |
| Định dạng: | Sách giáo trình |
| Ngôn ngữ: | English |
| Nhà xuất bản: |
United Kingdom :
Packt,
2019.
|
| Phiên bản: | 3rd ed. |
| Chủ đề: | |
| Truy cập trực tuyến: | https://dlib.phenikaa-uni.edu.vn/handle/PNK/1413 |
| Từ khóa: |
Thêm từ khóa
Không có từ khóa, Hãy là người đầu tiên đánh dấu biểu ghi này!
|
| LEADER | 03446nam a22002777a 4500 | ||
|---|---|---|---|
| 005 | 20210608103255.0 | ||
| 008 | 210806s2010 xxk|||||||||||||||||eng|| | ||
| 999 | |c 6617 |d 6617 | ||
| 020 | |a 9781789955750 |c 1123000đ | ||
| 040 | |a Phenikaa-Uni |b vie |c Phenikaa-Uni |e aacr2 | ||
| 041 | 0 | |a eng | |
| 044 | |a xxk | ||
| 082 | 0 | 4 | |2 23 |a 005.133 |b P611H 2019 |
| 100 | 1 | |a Raschka, Sebastian | |
| 245 | 1 | 0 | |a Python Machine Learning : |b Machine Learning and Deep Learning with Python, scikit - learn, and TensorFlow 2 / |c Sebastian Raschka, Vahid Mirjalili |
| 250 | |a 3rd ed. | ||
| 260 | |a United Kingdom : |b Packt, |c 2019. | ||
| 300 | |a 741 tr. ; |c 24 cm. | ||
| 520 | 3 | |a Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. 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 working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This 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. What you will learn Master the frameworks, models, and techniques that enable machines to 'learn' from data Use scikit-learn for machine learning and TensorFlow for deep learning Apply machine learning to image classification, sentiment analysis, intelligent web applications, and more Build and train neural networks, GANs, and other models Discover best practices for evaluating and tuning models Predict continuous target outcomes using regression analysis Dig deeper into textual and social media data using sentiment analysis Who This Book Is For If you know some Python and you want to use machine learning and deep learning, pick up this book. Whether you want to start from scratch or extend your machine learning knowledge, this is an essential resource. Written for developers and data scientists who want to create practical machine learning and deep learning code, this book is ideal for anyone who wants to teach computers how to learn from data. | |
| 650 | 0 | 4 | |a Máy Python |
| 650 | 0 | 4 | |a Python Machine Learning |
| 700 | 1 | |a Mirjalili, Vahid | |
| 856 | |u https://dlib.phenikaa-uni.edu.vn/handle/PNK/1413 | ||
| 942 | |2 ddc |c SGT | ||
| 952 | |0 0 |1 0 |2 ddc |4 0 |6 005_133000000000000_P611H_2019 |7 1 |9 30590 |a PHENIKAA |b PHENIKAA |c PNK_103 |d 2021-06-08 |e Mua |g 1123000.00 |l 0 |o 005.133 P611H 2019 |p 00027666 |r 2021-06-08 |v 1123000.00 |w 2021-06-08 |y SGT | ||
| 952 | |0 0 |1 0 |2 ddc |4 0 |6 005_133000000000000_P611H_2019 |7 1 |9 30591 |a PHENIKAA |b PHENIKAA |c PNK_103 |d 2021-06-08 |e Mua |g 1123000.00 |l 0 |o 005.133 P611H 2019 |p 00027667 |r 2021-06-08 |v 1123000.00 |w 2021-06-08 |y SGT | ||