Difference between revisions of "Category:Machine Learning"
From Christoph's Personal Wiki
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* [https://www.udemy.com/data-science-linear-regression-in-python/ Linear Regression in Python] — 3.5 hours | * [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] — 3 hours | * [https://www.udemy.com/data-science-logistic-regression-in-python/ Logistic Regression in Python] — 3 hours | ||
| − | * [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] — | + | * [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python)] — |
| − | * [https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/ (Bayesian Machine Learning in Python: A/B Testing)] — | + | * [https://www.udemy.com/bayesian-machine-learning-in-python-ab-testing/ (Bayesian Machine Learning in Python: A/B Testing)] — 5.5 hours |
* [https://www.udemy.com/data-science-deep-learning-in-python/ Deep Learning in Python] — 5.5 hours | * [https://www.udemy.com/data-science-deep-learning-in-python/ Deep Learning in Python] — 5.5 hours | ||
* [https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/ Practical Deep Learning in Theano and TensorFlow] — 3.5 hours | * [https://www.udemy.com/data-science-deep-learning-in-theano-tensorflow/ Practical Deep Learning in Theano and TensorFlow] — 3.5 hours | ||
| − | * [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python 2: Ensemble Methods)] — | + | * [https://www.udemy.com/data-science-supervised-machine-learning-in-python/ (Supervised Machine Learning in Python 2: Ensemble Methods)] — |
| − | * [https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/ Convolutional Neural Networks in Python] — | + | * [https://www.udemy.com/deep-learning-convolutional-neural-networks-theano-tensorflow/ Convolutional Neural Networks in Python] — |
| − | * [https://www.udemy.com/data-science-natural-language-processing-in-python/ (Easy NLP)] — | + | * [https://www.udemy.com/data-science-natural-language-processing-in-python/ (Easy NLP)] — 5.5 hours |
| − | * [https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/ (Cluster Analysis and Unsupervised Machine Learning)] — | + | * [https://www.udemy.com/cluster-analysis-unsupervised-machine-learning-python/ (Cluster Analysis and Unsupervised Machine Learning)] — |
| − | * [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] — | + | * [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] — |
| − | * [https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/ (Hidden Markov Models)] — | + | * [https://www.udemy.com/unsupervised-machine-learning-hidden-markov-models-in-python/ (Hidden Markov Models)] — |
| − | * [https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Recurrent Neural Networks in Python] — | + | * [https://www.udemy.com/deep-learning-recurrent-neural-networks-in-python/ Recurrent Neural Networks in Python] — |
| − | * [https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/ Artificial Intelligence: Reinforcement Learning in Python] — | + | * [https://www.udemy.com/artificial-intelligence-reinforcement-learning-in-python/ Artificial Intelligence: Reinforcement Learning in Python] — |
| − | * [https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/ Natural Language Processing with Deep Learning in Python] — | + | * [https://www.udemy.com/natural-language-processing-with-deep-learning-in-python/ Natural Language Processing with Deep Learning in Python] — |
* [https://www.udemy.com/deep-reinforcement-learning-in-python/ Advanced AI: Deep Reinforcement Learning in Python] — 4 hours | * [https://www.udemy.com/deep-reinforcement-learning-in-python/ Advanced AI: Deep Reinforcement Learning in Python] — 4 hours | ||
*--- | *--- | ||
| − | * [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] &mdash | + | * [https://www.udemy.com/deep-learning-advanced-nlp/ Deep Learning: Advanced NLP and RNNs] — 7.5 hours |
| + | * [https://www.udemy.com/advanced-computer-vision/ Deep Learning: Advanced Computer Vision] — 6 hours | ||
| + | * [https://www.udemy.com/deep-learning-gans-and-variational-autoencoders/ Deep Learning: GANs and Variational Autoencoders] — 7 hours | ||
| + | * [https://www.udemy.com/machine-learning-in-python-random-forest-adaboost/ Ensemble Machine Learning in Python: Random Forest, AdaBoost] — 5 hours | ||
| + | *--- | ||
| + | * [https://www.udemy.com/machinelearning/ Machine Learning A-Z™: Hands-On Python & R In Data Science] — 37.5 hours | ||
==Deep Learning== | ==Deep Learning== | ||
Revision as of 21:00, 15 July 2018
Machine learning is the sub-field of computer science that gives computers the ability to learn without being explicitly programmed.
Contents
Courses
- Udemy
- (The Numpy Stack in Python) — 2 hours
- Linear Regression in Python — 3.5 hours
- Logistic Regression in Python — 3 hours
- (Supervised Machine Learning in Python) —
- (Bayesian Machine Learning in Python: A/B Testing) — 5.5 hours
- Deep Learning in Python — 5.5 hours
- Practical Deep Learning in Theano and TensorFlow — 3.5 hours
- (Supervised Machine Learning in Python 2: Ensemble Methods) —
- Convolutional Neural Networks in Python —
- (Easy NLP) — 5.5 hours
- (Cluster Analysis and Unsupervised Machine Learning) —
- Unsupervised Deep Learning —
- (Hidden Markov Models) —
- Recurrent Neural Networks in Python —
- Artificial Intelligence: Reinforcement Learning in Python —
- Natural Language Processing with Deep Learning in Python —
- Advanced AI: Deep Reinforcement Learning in Python — 4 hours
- ---
- Deep Learning: Advanced NLP and RNNs — 7.5 hours
- Deep Learning: Advanced Computer Vision — 6 hours
- Deep Learning: GANs and Variational Autoencoders — 7 hours
- Ensemble Machine Learning in Python: Random Forest, AdaBoost — 5 hours
- ---
- Machine Learning A-Z™: Hands-On Python & R In Data Science — 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:
- NumPy
- SciPy
- matplotlib
- pandas
- scikit-learn
- scikit-image
People to follow
Blog posts
Note: The following are blog posts I wrote related to Machine Learning.
- Using Apache Spark for Machine Learning - Part 1
- Using Apache Spark for Machine Learning - Part 2
- Using Apache Spark for Machine Learning - Part 3
Pages in category "Machine Learning"
The following 6 pages are in this category, out of 6 total.
