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标签名: 数学和计算机
A Mind at Play: How Claude Shannon Invented the Information Age
出版日期: 2017-01
Introduction to Linear Optimization: Athena Scientific Series in Optimization and Neural Computation, 6
出版日期: 1997-01
Network Flows: Theory, Algorithms, and Applications
出版日期: 1993-01
Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing
出版日期: 2020-01
Mastering Ethereum: Building Smart Contracts and Dapps
出版日期: 2018-01
5G无线系统设计与国际标准
出版日期: 2019-01
Elements of Causal Inference: Foundations and Learning Algorithms
出版日期: 2017-01
Uberland: How Algorithms Are Rewriting the Rules of Work
出版日期: 2018-01
Rebooting AI: Building Artificial Intelligence We Can Trust
出版日期: 2019-01
High Performance Python: Practical Performant Programming for Humans
出版日期: 2020-01
Algorithms for Optimization
出版日期: 2019-01
Practical Time Series Analysis: Prediction with Statistics and Machine Learning
出版日期: 2019-01
Automating the News: How Algorithms Are Rewriting the Media
出版日期: 2019-01
Data Science Interviews Exposed: Your One Step Source for Data Science Job Interviews
出版日期: 2015-01
Machine Learning for Asset Managers: Elements in Quantitative Finance
出版日期: 2020-01
Statistical Consequences of Fat Tails: Real World Preasymptotics, Epistemology, and Applications
出版日期: 2020-01
Art of Doing Science and Engineering: Learning to Learn
出版日期: 1997-01
Build a Career in Data Science
出版日期: 2020-01
Statistical Methods in Online A/B Testing: Statistics for data-driven business decisions and risk management in e-commerce
出版日期: 2019-01
Introduction to Probability, Second Edition
出版日期: 2019-01
Fifty Challenging Problems in Probability with Solutions
出版日期: 2000-01
Feature Engineering and Selection: A Practical Approach for Predictive Models (Chapman & Hall/CRC Data Science Series)
出版日期: 2019-01
Deep Learning with Python, Second Edition
出版日期: 2020-01
Analytical Skills for AI and Data Science: Building Skills for an AI-Driven Enterprise
出版日期: 2020-01