machine learning algorithm
machine learning algorithm 想学习的可以好好学学了
Hands-On Data Science and Python Machine Learning py
Python Machine Learning Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow, 2nd Edition 很受推荐
Data Structures and Algorithms Using Python and C++ 数据结构与算法方面的书籍
R_for_Data_Science_-_Import,_Tidy,_Transform,_Visualize_and_Model_Data.rar
Expand your OpenCV knowledge and master key concepts of machine learning using this practical, hands-on guide. About This Book Load, store, edit, and visualize data using OpenCV and Python Grasp the fundamental concepts of classification, regression, and clustering Understand, perform, and experiment with machine learning techniques using this easy-to-follow guide Evaluate, compare, and choose the right algorithm for any task
Table of Contents Giving Computers the Ability to Learn from Data Training Simple Machine Learning Algorithms for Classification A Tour of Machine Learning Classifiers Using Scikit-Learn Building Good Training Sets - Data Preprocessing Compressing Data via Dimensionality Reduction Learning Best Practices for Model Evaluation and Hyperparameter Tuning Combining Different Models for Ensemble Learning Applying Machine Learning to Sentiment Analysis Embedding a Machine Learning Model into a Web Application Predicting Continuous Target Variables with Regression Analysis Working with Unlabeled Data - Clustering Analysis Implementing a Multilayer Artificial Neural Network from Scratch Parallelizing Neural Network Training with TensorFlow Going Deeper - The Mechanics of TensorFlow Classifying Images with Deep Convolutional Neural Networks Modeling Sequential Data using Recurrent Neural Networks
Approximate.Dynamic.Programming 和Reinforcement learning an introduction 一起学习