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Posted by patinella at 2020-02-27
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Turing Programming Series

Willi Richert, Luis Pedro Coelho Liu Feng

Nowadays, machine learning is booming on the Internet, and Python is an excellent language for developing machine learning system. As a dynamic language, it supports fast exploration and experiment, and the number of machine learning algorithm libraries for Python is increasing. The greatest feature of this book is to teach readers how to solve practical problems through machine learning by combining case analysis.

This book will show the reader how to find patterns from the original data. First, from the relationship between Python and machine learning, it will introduce some libraries, and then start to develop a more formal project based on data sets, involving modeling, recommendation and improvement, as well as sound and image processing. With popular open source libraries, we can learn how to deal with text, pictures and sound efficiently. At the same time, readers can also master how to evaluate, compare and select suitable machine learning technologies.

For example, we will introduce how to classify stackoverflow's answers by quality, and how to know whether a music file is jazz style or heavy metal rock style. In addition, the book also covers theme modeling, shopping habits analysis, cloud computing and other advanced content. In a word, by learning this book, readers can master all aspects of the knowledge needed to build their own system, and apply the knowledge to solve the practical problems they face.

As long as the reader has some python programming experience and can install and use the open source library by himself, it's enough, even if he knows nothing about machine learning. This book will not talk about the mathematics behind machine learning algorithms.

What can I do to collect a book?

When there is a situation, you will be notified, such as e-book release.

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Features of this book

Microsoft Bing core team members teach you how to design machine learning system in Python

"Machine learning itself is very complex, and involves a lot of complex mathematical knowledge in specific data analysis practice. This book tries to avoid the complexity of programming and machine learning algorithm, and make machine learning code as simple as possible. Its purpose is not to clarify what machine learning is, but to explain how to write algorithms and to help you think about what's the best way to program. " ——Amazon reader review

Author introduction

Willi Richert (author), PhD, machine learning and robotics, currently works in the core R & D team of Bing search, Microsoft. He is engaged in a variety of machine learning research, including active learning and statistical machine translation.

Luis Pedro Coelho (author), a computational biologist, focuses on bioinformatics and large-scale image data processing, and is committed to the application of machine learning technology in image analysis of biological specimens. He is also the main developer of Python computer vision library mahotas. He began to develop open source software in 1998, and began to work in Python development in 2004, and contributed code to a number of Python open source libraries. In addition, Luis holds a Ph.D. from Carnegie Mellon University, the world's leading university in machine learning, and has published many scientific papers.

Liu Feng, senior R & D Engineer of LBS map basic business department, Baidu, and doctor of Computer Engineering Department of Nanyang University of technology, Singapore. His research fields include machine learning, fuzzy neural network, etc. Joined Baidu in 2010, mainly engaged in big data analysis and mining. In recent years, he has focused on LBS big data mining and machine learning applications such as wireless positioning, user trajectory, etc.

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Previous criticism of translation was too mild. With all due respect, the translation quality of this book has been poor enough to affect understanding. In the process of reading this book, the following situations are always accompanied by me, mobile phone typing, I will not give an example: 1. Sentences are completely literal translation, sentence structure is not properly adjusted according to Chinese characteristics and context. However, since the sentence components are translated one by one according to the original order, I can understand them in my mind. 2. When translating words, the choice of meaning items is wrong, which results in the whole sentence reading inexplicable. It can be inferred from this that the translator is not irresponsible, but he does not know the meaning at all. He does not understand the original text. How can he translate it correctly? If the translator chooses the most common meaning of the word, I can often infer the original word, so as to understand what the author wants to express. But sometimes I can't even guess. 3. When translating phrases, especially idioms and slang, they are also translated word by word. As above, I don't think the translator himself understands the original text. 4. When English abbreviations appear for the first time, they will not be translated. Due to the characteristics of English itself, the original text reads smoothly. But when you read Chinese, you don't know that the acronym matches the initial of one of the above phrases.

For people who don't know English, many places are just baffling. For those who understand English, they need to guess the original text by themselves to understand it. Then why don't I read the original directly, so as not to guess what it is?

I have read many translation works published by Turing, among which there are many excellent ones. But as for the excellent ones, they are better than the blue ones. This time, it is inevitable to let me down. I hope Turing will strengthen his control over translators in the future.

Zhang Ningning published on March 25, 2016 11:03:27

6.2 to get twitter data, install.py is used to get data, but when the script is executed, it says that it lacks corpus.csv, but there is no such file in the root code package. Who knows how to solve this?

As a translator, it's necessary to say that the code in it is all intercepted code fragments, which may lack some variable assignments, resulting in the inability to run. Therefore, it is best to refer to the complete source code attached for reading.

Liu Feng published on July 23, 2014 23:52:36

Wow, I'm still looking forward to this book.

Fdy1045 published on August 8, 2013 17:06:37

Hope to have an electronic version

Yunyou tianwai was published on June 3, 2014 at 20:48:36

It's relatively basic, but the code is messy

Babam published on June 26, 2014 16:02:25

I can't buy it for 49 silver

Tang Xuyu, published on July 12, 2014 at 16:45:58

I bought a paper version. I'm looking at it

Splade published on January 5, 2015 22:13:14

The content is good, the translation is a little stiff.

Zhang Ningning published on March 14, 2016 18:31:40

E-books can't be downloaded. The code can be downloaded.

Xuetr published on August 13, 2016 12:01:01

I have to say! This code is poorly organized. I'm confused about the examples

Thsheep published on August 19, 2017 22:00:12