View source for Category:Machine Learning

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

==Courses==
;Udemy
* [https://deeplearningcourses.com/course_order Course order]
* [https://www.udemy.com/deep-learning-prerequisites-the-numpy-stack-in-python/ (The Numpy Stack in Python)] &mdash; 2 hours
* [https://www.udemy.com/data-science-linear-regression-in-python/ Linear Regression in Python] &mdash; 3.5 hours
* [https://www.udemy.com/data-science-logistic-regression-in-python/ Logistic Regression in Python] &mdash; 3 hours
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] &mdash;
* [https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/ (Bayesian Machine Learning in Python: A/B Testing)] &mdash; 5.5 hours
* [https://www.udemy.com/data-science-deep-learning-in-python/ Deep Learning in Python] &mdash; 5.5 hours
* [https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/ Practical Deep Learning in Theano and TensorFlow] &mdash; 3.5 hours
* [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python 2: Ensemble Methods)] &mdash;
* [https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/ Convolutional Neural Networks in Python] &mdash;
* [https://www.udemy.com/data-science-natural-language-processing-in-python/ (Easy NLP)] &mdash; 5.5 hours
* [https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/ (Cluster Analysis and Unsupervised Machine Learning)] &mdash;
* [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] &mdash;
* [https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/ (Hidden Markov Models)] &mdash;
* [https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Recurrent Neural Networks in Python] &mdash;
* [https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/ Artificial Intelligence: Reinforcement Learning in Python] &mdash;
* [https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/ Natural Language Processing with Deep Learning in Python] &mdash;
* [https://www.udemy.com/deep-reinforcement-learning-in-python/ Advanced AI: Deep Reinforcement Learning in Python] &mdash; 4 hours
*---
* [https://www.udemy.com/deep-learning-advanced-nlp/ Deep Learning: Advanced NLP and RNNs] &mdash; 7.5 hours
* [https://www.udemy.com/advanced-computer-vision/ Deep Learning: Advanced Computer Vision] &mdash; 6 hours
* [https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/ Deep Learning: GANs and Variational Autoencoders] &mdash; 7 hours
* [https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/ Ensemble Machine Learning in Python: Random Forest, AdaBoost] &mdash; 5 hours
*---
* [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] &mdash; 37.5 hours

==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

* See:
** [[Python/NumPy|NumPy]]
** [[Python/SciPy|SciPy]]
** [[Python/matplotlib|matplotlib]]
** [[Python/pandas|pandas]]
** scikit-learn
** scikit-image

==People to follow==
*[[:wikipedia:Geoffrey Hinton|Geoffrey Hinton]]

==Blog posts==
''Note: The following are blog posts I wrote related to Machine Learning.''
* [https://www.redapt.com/blog/apache-spark-for-machine-learning-part-1 Using Apache Spark for Machine Learning - Part 1]
* [https://www.redapt.com/blog/using-apache-spark-for-machine-learning-part-2 Using Apache Spark for Machine Learning - Part 2]
* [https://www.redapt.com/blog/using-apache-spark-for-machine-learning-part-3 Using Apache Spark for Machine Learning - Part 3]

[[Category:Technical and Specialized Skills]]