Is the future of artificial intelligence promising? 3 artificial intelligence books to bring you elegant upgrade

VOL 176

2020-11

Today is 46 days before 2021

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Hi, everyone, this is CoCo.

Forget the day from which 人工智能this seemingly tall name began to come into our sight frequently. From voice interaction, image retrieval, face payment, to unmanned driving, smart home, and smart medical care, since the birth of the concept of artificial intelligence, the theory and technology have become increasingly mature, and the field of application has also continued to expand. For a long time in the past, the intelligent life we imagined was always unattainable. It either existed in the laboratory or could only be realized by Zhongming Ding Shijia. But in fact, the development of AI technology is far more rapid and universal than imagined.

In the future, will artificial intelligence take away jobs from many people or spawn more industries?

On the afternoon of October 21, 2020, CMC Capital (Chinese Cultural Industry Investment Foundation), together with a number of industry experts and entrepreneurial leaders, held a special technology seminar at the CMC Capital Investor Conference, in-depth exchanges and discussions on the tremendous changes and innovations brought about by innovation and technology. Business. In the future, with the popularization of 5G commercialization and digitization, artificial intelligence will be more invested in social development, and this will give birth to more hundreds of billions or even trillions of dollars in industries.

In just a short period of time, the posts related to “artificial intelligence” on Lagou.com have skyrocketed, and they are generally well paid. It is also in this context that artificial intelligence has begun to be fully sought after, and countless companies, institutions and individuals are learning and researching artificial intelligence. With the strong support of the country, major colleges and universities have also opened artificial intelligence professional courses.

Regrettably, most people's cognition and understanding of "artificial intelligence" and "machine learning" are still one-sided and even full of misunderstandings. In layman's terms, artificial intelligence (AI) refers to making machines make decisions like humans, and machine learning (ML) is a technology to realize artificial intelligence. Machine learning principle is summed up visually through a lot of data training , to improve the computational model accuracy . Just like the question sea tactics before the college entrance examination, practice makes perfect if you do more questions.

As for the artificial intelligence language, why choose Python? Because the script language is simple and easy to write. Computer languages have their own applicability, C/C++ is fast and suitable for writing algorithms at the bottom. Python is slow, but it is suitable for writing logic at the upper level. If you change to C++, you have to learn 1 month before compiling it.

Change is eternal, and what remains unchanged is only an instant. Regardless of the turning point of the artificial intelligence curve, we only need to grasp the development trend of the times and grasp the opportunities for personal development. Hereby give away 3this good book on artificial intelligence published by Peking University Press . I hope you have more possibilities in the future.

" Python entry to artificial intelligence combat"

Wu Maogui waits/work

Recommended reason:

1. Find the right entry point to simplify complex issues: The explanations in this book start with simple examples and then gradually expand.
2. Both pictures and texts make abstract problems intuitive: speak with pictures, a good picture is worth a thousand words.
3. Example explanations to make abstract problems concrete: The understanding and mastery of Python and various frameworks are inseparable from actual combat. This book introduces many examples, as well as subsequent thoughts on examples.

" Python Artificial Intelligence Development"

Yang Liu, Guo Tan, Lu Yinzhi/Work

Recommended reason:

1. Explain in simple language, strong practicality: each chapter is mainly based on examples, readers can refer to the source code, modify the examples, switch data sources, and get the results they want. The purpose is to let readers understand, learn and do.
2. Professional focus, apply what you learn: NumPy, Pandas, Matplotlib, scikit-learn, TensorFlow and other functions are very rich. By introducing the installation and basic operations of each library one by one, readers are familiar with the installation and use of libraries in Python. This book focuses on the analysis of artificial intelligence algorithm projects based on Python and the techniques actually used in the production environment. Compared with a large and comprehensive book, this book allows readers to get started as soon as possible and then invest in project development.
3. Learn by analogy and apply what you have learned: Each chapter is equipped with "Novice Questions and Answers" and "Small Tests" columns. The purpose is to allow readers to consolidate knowledge as soon as possible after reading.
4. Zero basic introductory, achievement from novice to great master: The content of this book is suitable for zero basic readers in the writing position, and then gradually master the relevant knowledge and skills, so as to achieve the learning effect from entry to master. In addition, the whole book has arranged a wealth of practical cases in the knowledge explanation, which can effectively enhance the reader's practical ability.

"A Guide to Python Machine Learning"

Yang Zhixiao, Fan Yanfeng/Work

Recommended reason:

1. Beginners: start with the introduction of the basic concepts of artificial intelligence and machine learning, and guide readers step by step.

2. Advanced: Starting from loading the data set, explain how to standardize, regularize, binarize, and reduce feature dimensionality.

3. In-depth: through 217 training cases, detailed explanations of regression, classification, clustering, ensemble learning, deep learning, model evaluation, etc.

4. Application: Covers 4 application areas including image recognition, speech recognition, text recognition, and image compression.

Book delivery rules

We will select 3 lucky friends and give out 3 books in total . Free shipping to home.

Activity book:

1. "Python entry to artificial intelligence combat"

2. "Python Artificial Intelligence Development"

3. "A Guide to Python Machine Learning"

Event Description:

1. A total of 3 books are presented this time , and the top 2 friends with the most comments and likes will give out "Introduction to Python to Artificial Intelligence in Practice" and "Python Artificial Intelligence Development". The message area randomly picks 1 person who leaves the most heartfelt message. Friends of "Python Machine Learning One Book";

2. The number of winners is 3, and the redemption time is after 19:00, November 20 (Saturday) ;

3. In order to avoid losing, please add the CoCo WeChat below to redeem rewards (if the reply is slow during working hours, please forgive me);

4. The books presented at this event are launched by ITester Software Testing Stack , and the right to interpret the event belongs to me;

way of participation:

1. Leave a comment under this article to accumulate likes. The deadline is 19:00 , November 20 (Saturday) . Take the 2 people with the highest number of comment points and randomly pick the 1 person with the most heartfelt comments to give away the above 3 books ；