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Material-Sharing

书单共享、罗列分类

  • Python code for Artificial Intelligence: Foundations of Computational Agents
  • Automated Machine Learning(Book)
  • Automated Machine Learning(Paper)
  • Hands-On Automated Machine Learning
  • Big Data in Pratice
  • Big Data Analytics: A Hands-On Approach
  • Handbook of Data Visualization
  • Python for Data Analysis_2nd Edition
  • Think Stats Exploratory Data Analysis (EDA) in Python_2nd Version
  • Techniques (Tricks) for Data Mining Competitions
  • Graph Neural Networks: A Review of Methods and Applications(Paper)
  • GitHub 干货 | 各大数据竞赛 Top 解决方案开源汇总
  • How to write a great research paper?
  • Linear and Nonlinear Programming
  • Artificial Intelligence for Robotics
  • Machine Learning with TensorFlow
  • Hands On Machine Learning with Scikit-Learn and TensorFlow
  • Hands On Machine Learning with Scikit-Learn and TensorFlow__2nd Version
  • 机器学习_西瓜书
  • 美团机器学习实践
  • 机器学习完整路线图
  • 机器学习与应用__雷明
  • Machine-Learning_Tom-Mitchell
  • Foundation of Machine Learning
  • 百面机器学习 算法工程师带你去面试
  • The Hundred Pages Machine Learning
  • 南瓜书Pumpkin-Book https://github.com/datawhalechina/pumpkin-book
  • 有三AI 视觉算法工程师成长指导手册
  • Computer vision: models, learning and inference
  • New Frontiers in Imitation Learning
  • ICML 2018 Imitation Learning Tutorial
  • Pattern Recognition and Machine Learning
  • Reinforcement Learning: An Introduction Second Edition
  • 大话设计模式
  • 动手学深度学习
  • Deep Learning中英版
  • Deep Learning with Python中英版
  • Hands-On Machine Learning with Scikit-Learn and TensorFlow(OReilly Book)
  • Machine Learning and Deep Learning with Python, Scikit-learn and TensorFlow
  • 数据科学家修炼之道
  • Want to Become a Data Engineer Let's learn!
  • 数理统计学简史
  • 研究生数学建模竞赛优秀论文(2004~2015)
  • 数学之美__吴军
  • 机器学习中数学基础
  • 剑指offer
  • 算法导论中英版
  • 程序员代码面试指南
  • Google校招真题&&面经
  • Feature Engineering
  • Techniques (Tricks) for Data Mining Competitions
  • 李航__统计学习方法第一版
  • 李航__统计学习方法第二版
  • 凸优化课件
  • 凸优化__中文笔记
  • Convex Optimization Slides
  • Convex Optimization Solutions

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