Machine Learning A-Z These are my notes from the course Machine Learning A-Z. Many of the code files are provided in the course and reproduced here - I've modified and added my own narrative to help me return to the content more easily. I've also changed the numbering of topics a bi...
Basic machine learning algorithm implementation. Contribute to sharmasaravanan/Machine_learning development by creating an account on GitHub.
[Machine Learning] ByJames McCaffrey The Microsoft Computational Network Toolkit (CNTK) is a very powerful command-line system that can create neural network prediction systems. Because CNTK was originally developed for internal use at Microsoft, the documentation is a bit intimidating. In this article...
[Machine Learning] ByJames McCaffrey The Microsoft Computational Network Toolkit (CNTK) is a very powerful command-line system that can create neural network prediction systems. Because CNTK was originally developed for internal use at Microsoft, the documentation is a bit intimidating. In this article...
Awesome Machine Learning A curated list of awesome machine learning frameworks, libraries and software (by language). Inspired by awesome-php.If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti. Also, a listed repository should be deprecated...
Each project in Machine Learning Workbench opens to its project dashboard. The dashboard contains instructions and information about the project and functions very much like a readme.md file in a GitHub repository. In fact, the contents of the dashboard file are l...
Deep Learning Data Analysis Data Visualization Interop Misc Extra Crystal General-Purpose Machine Learning Elixir General-Purpose Machine Learning Natural Language Processing Erlang General-Purpose Machine Learning Fortran General-Purpose Machine Learning Data Analysis / Data Visualization Go Natural Language Proc...
awesome-machine-learning - 非常棒的机器学习框架,库和软件集合,按语言划分。 Inspired by awesome-php. If you want to contribute to this list (please do), send me a pull request or contact me @josephmisiti Also, when you noticed that listed repository should be deprecated. Repository's owner ...
This let us keep more similar structures to the starting ones, as machine learning model predictions are more accurate in the closer chemical space. Selected structures are shown below (Table 1). The table indicates the capabilities of a generative machine learning model, the recurrent neural ...
We have developed a machine learning-based method for identifying the status of EGFR mutations in NSCLC which can provide radiologists with a quantitative and intuitive method to determine the type of gene mutation in lung cancer. Although the results were not satisfactory in the initial training st...