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这本书基于两门斯坦福大学计算机科学专业的课程： CS246 和 CS35A。它的受众为计算机专业的本科学生，不需要任何基础（高中数学学好即可）。剑桥大学出版社出版。译本名为《大数据:互联网大规模数据挖掘与分布式处理》。 This book evolved from material developed over several years by Anand Rajaraman and Jeff Ullman for a one-quarter course at Stanford. The course CS345A, titled “Web Mining,” was designed as an advanced graduate course, although it has become accessible and interesting to advanced undergraduates. When Jure Leskovec joined the Stanford faculty, we reorganized the material considerably. He introduced a new course CS224W on network analysis and added material to CS345A, which was renumbered CS246. The three authors also introduced a large-scale data-mining project course, CS341. The book now contains material taught in all three courses.

Use MySQL with Python - M. MOka

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Information_Retrieval Implementing and Evaluating Search Engines－MIT

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精益数据分析（英文版）

The Lean Startup movement is galvanizing a generation of entrepreneurs. It helps you identify the riskiest parts of your business plan, then finds ways to reduce those risks in a quick, iterative cycle of learning. Most of its insights boil down to one sentence: Don’t sell what you can make; make what you can sell. And that means figuring out what people want to buy. Unfortunately, it’s hard to know what people really want. Many times, they don’t know themselves. When they tell you, it’s often what they think you want to hear.* What’s worse, as a founder and entrepreneur, you have strong, almost overwhelming preconceptions about how other people think, and these color your decisions in subtle and insidious ways. Analytics can help. Measuring something makes you accountable. You’re forced to confront inconvenient truths. And you don’t spend your life and your money building something nobody wants.

Learning_PostgreSQL_10，_2nd_Edition

PostgreSQL is an open source object relational database management system. It emphasizes extensibility and competes with major relational database vendors such as Oracle, SQL Server, and MySQL. Due to its rich extensions and open source license, it is often used for research purposes, but PostgreSQL code is also the base for many open source and commercial database management systems such as Greenplum and Vertica. Furthermore, start-ups often favor PostgreSQL due to its licensing

Introduction to Programming in Java An Interdisciplinary Approach

The book is organized around four stages of learning to program: basic elements, functions, object-oriented programming, and algorithms (with data structures). We provide the basic information readers need to build confidence in writing programs at each level before moving to the next level. An essential feature of our approach is to use example programs that solve intriguing problems, supported with exercises ranging from self-study drills to challenging problems that call for creative solutions. Basic elements include variables, assignment statements, built-in types of data, flow of control (conditionals and loops), arrays, and input/output, including graphics and sound. Functions and modules are the student’s first exposure to modular programming. We build upon familiarity with mathematical functions to introduce Java static methods, and then consider the implications of programming with functions, including libraries of functions and recursion. We stress the fundamental idea of dividing a program into components that can be independently debugged, maintained, and reused.

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MIT Optimization for Machine Learning.

The yearly Neural Information Processing Systems (NIPS) workshops bring together scientists with broadly varying backgrounds in statistics, mathematics, computer science, physics, electrical engineering, neuroscience, and cognitive science, unified by a common desire to develop novel computational and statistical strategies for information processing and to understand the mechanisms for information processing in the brain. In contrast to conferences, these workshops maintain a flexible format that both allows and encourages the presentation and discussion of work in progress. They thus serve as an incubator for the development of important new ideas in this rapidly evolving field. The series editors, in consultation with workshop organizers and members of the NIPS Foundation Board, select specific workshop topics on the basis of scientific excellence, intellectual breadth, and technical impact. Collections of papers chosen and edited by the organizers of specific workshops are built around pedagogical introductory chapters, while research monographs provide comprehensive descriptions of workshop-related topics, to create a series of books that provides a timely, authoritative account of the latest developments in the exciting field of neural computation.

Introduction to Data Mining 数据挖掘导论 part2

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Discovering knowledge in data ——an introduction to data mining

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