About Tianchi Reading Club is here again. The May session will share a variety of topics, including data analysis, machine learning, deep learning, neural networks, etc. I believe there is always something you want to see.
Alibaba Cloud Tianchi Reading Club is here in May. This time we invited Tang Yudi, the author of "Mathematics Foundation of Artificial Intelligence" and a Ph.D. from East China University of Science and Technology, the author of "Machine Learning and Python Practice", a professor at the School of Statistics and Management, Shanghai Finance University, Doctoral Supervisor Ms. Huang Mian, author of "Deep Learning: Core Algorithms of Photography Image Processing and Case Essences", founder of YousanAI, Yanyousan teacher, Tianchi KoL student Liu Sihao, Tianchi contest Top contestant Kang Yishuai (sorted by live sharing time) for everyone Share wonderful books.
Alibaba Cloud Tianchi has now completed 19 live reading sessions, a total of six issues, including 18 popular books in the field of data analysis and artificial intelligence. In addition to sharing and interpreting the content of the book, sharing guests will also take you to the actual project in the book. All video playback, guest sharing PPT, and practice codes can be obtained on the Tianchi Book Club page.
At the same time, Tianchi also provides a supporting skill training camp for everyone to learn better. It is hoped that through the integrated learning method of listening, writing and practicing, everyone can absorb more knowledge from the guests' sharing and make it easier to get started with artificial intelligence.
Everyone is welcome to come to the Tianchi Year of the Ox Reading Club to experience the new immersive reading method of "reading + practice" and practice while reading.
Participate in live learning and project practice, you can also share 50,000 Tianchi food coupons in exchange for gifts. Click on the link below on your computer or mobile phone to join the book club and make an appointment for live broadcast.
Book club address https://tianchi.aliyun.com/specials/promotion/activity/bookclub
At present, the 5 live reading sessions in May are all live. After entering the page of the reading session, click the Schedule Live button to schedule the live broadcast in advance, or click to watch the playback to view the live playback video.
In addition to live outside the reservation, all readers can also click on the page will be read directly "questions" button for the corresponding books to ask questions, every time we will take your questions live to share feedback guests, "Quality can obtain the corresponding questions One book" , you are welcome to click the link below to fill in your own questions about the book.
Question link https://survey.aliyun.com/apps/zhiliao/gkNo6ybZR
Next, I will give you a detailed introduction to the May session of the next Tianchi Book Club.
Tianchi Book Club in April
"Artificial Intelligence Mathematical Foundation"
"Live guest:" Tang Yudi, Doctor of Computer Science, NetEase Cloud Classroom AI certified expert
"Live time:" May 23, 20:00
"Supporting learning resources:"
1> Course of "Mathematical Foundation of Artificial Intelligence"
On the Tianchi Book Club page, click "The Mathematical Foundation of Artificial Intelligence" course to enter the course learning, all free, video courses, better understanding, and more efficient learning.
2> Project actual combat code acquisition and guest sharing PPT download The sharing guest is preparing, and will put relevant resources on the book club page before the live broadcast. On the Tianchi book club page, click actual combat code to enter the corresponding code; click PPT download , you can download the guests’ shared PPT.
"Book Introduction:"
The vice-president of the Chinese Society of Artificial Intelligence recommends teaching materials! The gymnastics of mathematical thinking, the cornerstone of learning artificial intelligence! Through 205 typical examples + 185 derivation formulas + 37 classic exercises + 40 learning difficulties tips + 19 projects, effective practice of mathematical ideas and solutions.
You can get started quickly even with zero foundation. This book starts from the basics of advanced mathematics, from the shallower to the deeper, step by step, while consolidating the inherent knowledge, at the same time explain the principles of artificial intelligence algorithms in depth, regardless of whether the reader is in the computer-related industry or has been exposed to artificial intelligence. Get started quickly through this book.
Introduce mathematics from a new perspective. Using computer programs to simulate the introduction of mathematical inferences makes mathematical knowledge clearer and easier to understand, and makes it easier for beginners to deeply understand the meaning of mathematical theorems and formulas, thereby stimulating readers' interest in learning.
Combine theory and practice. After each chapter, a "comprehensive example" carefully designed based on the theoretical knowledge points of the chapter is provided. Readers can practice and operate through comprehensive cases to lay the foundation for future algorithm learning.
A large number of sample source code exercise answers to solve problems for learning. All examples in this book have clear and complete source code. After each chapter, there are exercises and answers to the matching questions. The explanation is clear and solves all the puzzles of the reader in the study.
"Machine Learning and Python Practice"
"Live Guest:" Huang Mian, Professor, School of Statistics and Management, Shanghai University of Finance and Economics, PhD supervisor
"Live time:" May 24, 20:00
"Supporting learning resources:"
1> Machine Learning Bootcamp
On the Tianchi Reading Club page, click learning training camp to enter the course learning, all free of charge, there are also learning exchange groups, refined tutorials, online Q&A and other services for excellent learners.
2> Project actual combat code acquisition and guests sharing PPT download The sharing guests are preparing, and will put relevant resources on the book club page before the live broadcast. On the Tianchi book club page, click actual combat code to enter the corresponding code; click PPT download , you can download the guests’ shared PPT.
"Book Introduction:"
This book is an introduction to machine learning. The book systematically explains the theory of machine learning and the basic steps and methods of using machine learning in actual data analysis; introduces how to select the appropriate model for data processing and analysis, as well as model estimation and optimization algorithms, etc., and through many This example shows the application and practical experience of machine learning.
Unlike many books that explain machine learning methods, this book is practice-oriented, uses Python as a programming language, and emphasizes simple and rapid model building to solve practical problems. Through the study of the content of this book, readers can quickly get started with machine learning and use machine learning to solve practical problems.
This book can be used as a textbook for machine learning courses, and it is also suitable for analysts who are interested in using machine learning to analyze financial data, as well as undergraduate and graduate students in economics and management.
"Deep Learning Core Algorithms and Case Essences of Photographic Image Processing"
"Live guest:" said there are three out of three AI founders and author of this book
"Live time:" May 25th 20:00
"Supporting learning resources:"
1> Deep learning training camp Tianchi reading club page, click deep learning training camp to enter the course learning, all free, there are learning exchange groups, refined tutorials, excellent learners online Q&A and other services.
2> Project actual combat code acquisition and guests sharing PPT download The sharing guests are preparing, and will put relevant resources on the book club page before the live broadcast. On the Tianchi book club page, click actual combat code to enter the corresponding code; click PPT download , you can download the guests' shared PPT.
"Book Introduction:"
Step by step. This book starts with the basic concepts of photography, especially the image knowledge involved, and then transitions to various fields where photography and image intersect.
From the aesthetic evaluation algorithm of photographic works, automatic composition algorithm, to the common editing techniques of photographic works, including noise removal, contrast enhancement, tone enhancement, deblurring and resolution enhancement, and then the current more advanced portrait beauty and image The stylization technology is introduced, and then the difficult image depth editing, texture editing, and image fusion technology are introduced. The content is from simple to deep, covering a large number of application scenarios, suitable for systematic advanced learning.
This book is suitable for computer vision industry practitioners, photography professionals and enthusiasts, students who are interested in the core technology of the current intelligent photography and want to improve, engineering and technical personnel or related professional teachers to read. This book can be used as a core algorithm tutorial for learning theoretical knowledge, and can also be used as an engineering reference manual for consulting related technologies.
"Data Analysis with Python (Second Edition)"
"Live guest:" Liu Sihao Tianchi KoL
"Live time:" May 28, 20:00
"Supporting learning resources:"
1> Numpy, Pandas, Matplotlib course Tianchi Book Club page, click learning course to enter the corresponding course study, all free of charge.
2> Project actual combat code acquisition and guests sharing PPT download The sharing guests are preparing, they will put relevant resources on the book club page before the live broadcast. On the Tianchi book club page, click actual combat code to enter the corresponding code; click PPT download , you can download the guests’ shared PPT.
"Book Introduction:"
1. This book is written by Wes McKinney, the founder of the Python pandas project. It introduces in detail the specific details and basic points of using Python to operate, process, clean and organize data.
2. The second edition is comprehensively revised and updated for Python 3.6, covering the new versions of pandas, NumPy, IPython and Jupyter, and adding a large number of practical cases, which can help you efficiently solve a series of data analysis problems.
"In-depth explanation of the graph neural network: GNN principle analysis"
"Live Guest:" Kang Yishuai Top Player in Tianchi Competition
"Live time:" May 30th 20:00
"Supporting learning resources:"
1> "Neural Network and Deep Learning" course Tianchi Book Club page, click learning course to enter the course learning, all free, including the supporting learning PPT and test questions for each chapter of the book "Neural Network and Deep Learning" by Qiu .
2> Project actual combat code acquisition and guests sharing PPT download The sharing guests are preparing, and will put relevant resources on the book club page before the live broadcast. On the Tianchi book club page, click actual combat code to enter the corresponding code; click PPT download , you can download the guests’ shared PPT.
"Book Introduction:"
This is a book that explains in detail the graph neural network from the four dimensions of principle, algorithm, implementation, and application. It is of great significance in the field of graph neural network.
The author of this book is a senior technical expert in the field of graph neural networks, and his company is also a leader in this field. This book is a summary of many years of research and practical experience by the author and Ji Jian. The content is systematic, solid, and easy to understand. It has been highly praised and strongly recommended by many leaders in the academic and business circles such as Bai Xiang and Yu Dong.
The book consists of 10 chapters: Chapters 1 to 4 comprehensively introduce the basic knowledge of graphs, graph data, convolutional neural networks, and representation learning, which are prerequisites for reading the book; Chapters 5 to 6 explain from a theoretical point of view Graph signal processing and graph convolutional neural networks, in-depth analysis of the nature of graph convolutional neural networks, and provide examples of GCN to achieve node classification; Chapters 7-9 comprehensively explain the various variants and paradigms of graph neural networks, Graph classification mechanism and its practice, as well as GNN-based graph representation learning; Chapter 10 introduces the research and application of graph neural networks.
How to participate in questioning and obtain learning resources from the book club
step1: If you click to read the original text or open the link below on your browser/mobile phone, you will enter the book club page, where you can get all the resources you want.
Book club address https://tianchi.aliyun.com/specials/promotion/activity/bookclub
step2: Learn about the reading club activities, which are divided into four parts: listening, writing, practicing, and please click on the corresponding module to participate in the corresponding activity.
step3: book a live broadcast or view the replay?
Book the next book meeting: On the book meeting page, slide down to the live broadcast schedule module. The live broadcast of the book meeting that has not been held will be displayed here. You can choose the book meeting you want to listen to, and click the book live broadcast button to enter the book meeting live page .
You can make an appointment in advance by clicking the Schedule Live button on the Reading Club Live page. Before the live broadcast starts, you will be reminded to watch by SMS, so you are not afraid of forgetting it.
View the live playback: Scroll down to the previous reading session module on the big book club page to see the book club that has ended. Click the corresponding watch playback to view the live playback of the book club.
step4: How to download the corresponding learning resources?
Whether it is a previous book club or an upcoming book club, there are corresponding learning resources. Some practical books are also equipped with the project practice code prepared by the sharing teacher for everyone. You can directly click the corresponding button on the book club page. Download or view.
Judging from the "Machine Learning Principles, Algorithms and Applications" shared by Mr. Lei Ming, some of the function buttons are:
- Questions: You can submit questions about books or related domain knowledge, and high-quality questions have the opportunity to get corresponding books.
- Courses: study courses in books-related fields, free of charge in Tianchi.
- Training camp: Tianchi artificial intelligence introductory series training camp, learning knowledge corresponding to the books, better let you get started.
- Algorithm map: Share the knowledge map of related fields summarized by the teacher, and quickly find the content you need.
- PPT Download: Share the teacher’s reading club sharing PPT, free download.
- Practice code: share the actual book case code prepared by the teacher for everyone, click to view and run learning.
- Watch the replay: Even if you miss the live broadcast, you can come back and learn, or slowly understand what the teacher explained.
step5: carry out project practice?
Take the "Face Image Processing for Deep Learning" shared by Yanyousan as an example. You can directly click the practice code button to enter the code practice environment. In addition to viewing the code prepared by the teacher, you can also run it directly in the Tianchi Lab , Editing and learning, more efficient.
If you have any other questions or suggestions about the reading club, you can leave a message to raise it. Together, we will make the reading club better and better.
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