ML-lectures | Here is the material for a course of two-weeks I will be
kandi X-RAY | ML-lectures Summary
kandi X-RAY | ML-lectures Summary
ML-lectures is a Jupyter Notebook library. ML-lectures has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.
The lectures are devoted to students having little knowledge of python, but being aware of linear algebra and basic calculus. The theaching philosophy is the following. I prefered to give a short theoretical introduction, then share practical code implementations and give students a sense of the “whole game” before delving into lower-level details. Theory is really important to become a self-confident and solid data scientist, but to start and to not get scared I was looking for a compromise between a complete bottom-up approach and the first principle derivation. I am really eager to get your comments and suggestions, so please do not be shy and tell me what you think and where I can improve.
The lectures are devoted to students having little knowledge of python, but being aware of linear algebra and basic calculus. The theaching philosophy is the following. I prefered to give a short theoretical introduction, then share practical code implementations and give students a sense of the “whole game” before delving into lower-level details. Theory is really important to become a self-confident and solid data scientist, but to start and to not get scared I was looking for a compromise between a complete bottom-up approach and the first principle derivation. I am really eager to get your comments and suggestions, so please do not be shy and tell me what you think and where I can improve.
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ML-lectures has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
ML-lectures has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of ML-lectures is current.
Quality
ML-lectures has no bugs reported.
Security
ML-lectures has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
ML-lectures does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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ML-lectures releases are not available. You will need to build from source code and install.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ML-lectures
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of ML-lectures
ML-lectures Key Features
No Key Features are available at this moment for ML-lectures.
ML-lectures Examples and Code Snippets
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Community Discussions
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Community Discussions, Code Snippets contain sources that include Stack Exchange Network
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Install ML-lectures
You can download it from GitHub.
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