Nalaganje...
Hands-on machine learning with Scikit-Learn and TensorFlow : concepts, tools, and techniques to build intelligent systems /
"Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you h...
| Glavni avtor: | |
|---|---|
| Format: | Printed Book |
| Izdano: |
Mumbai:
Shroff publishers,
2017.
|
| Izdaja: | First edition. |
| Teme: |
| LEADER | 01949cam a22003017i 4500 | ||
|---|---|---|---|
| 999 | |c 55456 |d 55456 | ||
| 020 | |a 1491962291 | ||
| 020 | |a 9781491962299 | ||
| 082 | 0 | 4 | |a 006.31 |b GER-H |
| 100 | 1 | |a Géron, Aurélien, | |
| 245 | 1 | 0 | |a Hands-on machine learning with Scikit-Learn and TensorFlow : |b concepts, tools, and techniques to build intelligent systems / |
| 250 | |a First edition. | ||
| 260 | |a Mumbai: |b Shroff publishers, |c 2017. | ||
| 300 | |a xx, 551 pages : |b illustrations ; | ||
| 500 | |a Includes index. | ||
| 520 | |a "Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks--Scikit-Learn and TensorFlow--author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You'll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you've learned, all you need is programming experience to get started" -- | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 7 | |a COMPUTERS / Computer Vision & Pattern Recognition. | |
| 650 | 7 | |a COMPUTERS / Data Processing. | |
| 650 | 7 | |a COMPUTERS / Intelligence (AI) & Semantics. | |
| 650 | 7 | |a COMPUTERS / Natural Language Processing. | |
| 650 | 7 | |a COMPUTERS / Neural Networks. | |
| 650 | 7 | |a Artificial intelligence. | |
| 650 | 7 | |a Machine learning. | |
| 650 | 7 | |a Python 3.0 | |
| 942 | |c BK | ||
| 952 | |0 0 |1 0 |4 0 |6 006_310000000000000_GERH |7 0 |9 69864 |a KU |b KU |c GEN |d 2020-01-13 |e PICO.A3/17875/2019 dtd.28/10/2019 |g 1475.00 |l 1 |o 006.31 GER-H |p IT01591 |r 2020-06-29 |s 2020-03-11 |w 2020-01-13 |y BK | ||