ML-Roadmap
Roadmap to becoming a Machine Learning developer in 2020
Translations
Introduction
Data Analysis
Concepts：
The Foundations of Data Science
Computational and Inferential Thinking -The Foundations of Data Science
Data Mining Algorithm：
LearnDataScience Algorithm Implementation
Machine Learning
Google-Machine Learning Crash Course
Carnegie Mellon University-Machine Learning
Deep Learning
Learning From Data
Neural Networks
University Course
Stanford University：
《Convolutional Neural Networks》
《Deep Leanring for Natural Language Processing》
MIT University：
《Introduction to neural networks》
More Courses：
Books
Machine Learning：
Pattern Recognition and Machine Learning PDF Matlab Implementation
Introduction to Machine Learning with Python
Hands-On Machine Learning with Scikit-Learn and TensorFlow
Manual：
understanding-machine-learning-theory-algorithms
Deep Learning：
Neural Networks：
Introduction-Neural Networks and Deep Learning
Articles/Small Videos
Machine-learning-tutorial-python-introduction
Rules of Machine Learning: Best Practices for ML Engineering
Blogs：
Natural Language Processing with Python
Neural Networks：
Algorithms
Supervised Learning：
Unsupervised Learning：
Five Famous clustering algorithms：
Others：
Independent_component_analysis
More Algorithm Lists：
a-tour-of-machine-learning-algorithms
Scikit-Learn Algorithm for document：
Practice Project
machine-learning-projects-for-beginners
More Advanced Resources
awesome-deeplearning-resources
About me
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Email:[email protected]
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Blog:https://jsonchao.github.io/
License
Copyright 2018 JsonChao
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.