Difference between revisions of "Category:Machine Learning"

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(NumPy / Pandas / matplotlib / scipy)
(Courses)
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==Courses==
 
==Courses==
 
;Udemy
 
;Udemy
* [https://www.udemy.com/deep-learning-prerequisites-the-numpy-stack-in-python/ (The Numpy Stack in Python)] — Free
+
* [https://www.udemy.com/deep-learning-prerequisites-the-numpy-stack-in-python/ (The Numpy Stack in Python)] — 2 hours
* [https://www.udemy.com/data-science-linear-regression-in-python/ Linear Regression in Python] — $30 ($120)
+
* [https://www.udemy.com/data-science-linear-regression-in-python/ Linear Regression in Python] — 3.5 hours
 
* [https://www.udemy.com/data-science-logistic-regression-in-python/ Logistic Regression in Python] — $30 ($120)
 
* [https://www.udemy.com/data-science-logistic-regression-in-python/ Logistic Regression in Python] — $30 ($120)
 
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] — $30 ($120)
 
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] — $30 ($120)

Revision as of 01:53, 31 March 2017

Machine learning is the sub-field of computer science that gives computers the ability to learn without being explicitly programmed.

Courses

Udemy

Deep Learning

What Deep Learning is good at
  • Examples of common Deep Learning algorithms
    • Analysis
    • Prediction
    • Recommendation
    • Dectection
    • Classification
    • Segmentation
    • Natural Language Processing (NLP)
  • Use cases
    • Image/video classification
    • Speech recognition
    • NLP
    • Cancer cell detection
    • Drug discovery
    • Video captioning
    • Content-based search
    • Real-time translation
    • Face recognition
    • Video surveillance
    • Cyber security
    • Pedestrian detection
    • Lane tracking
    • Recognize traffic signs

NumPy / Pandas / matplotlib / SciPy

pip install -U numpy scipy matplotlib pandas ipython

Pages in category "Machine Learning"

The following 6 pages are in this category, out of 6 total.