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)] — ($120) |
| − | * [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)] — ($120) |
* [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)] — ($120) |
| − | * [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] — ($120) |
| − | * [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)] — ($120) |
| − | * [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)] — ($120) |
| − | * [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] — | + | * [https://www.udemy.com/unsupervised-deep-learning-in-python/ Unsupervised Deep Learning] — ($120) |
| − | * [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)] — ($120) |
| − | * [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] — ($120) |
| − | * [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] — ($180) |
| − | * [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] — ($120) |
* [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 | ||
*--- | *--- | ||
Revision as of 20:39, 6 May 2017
Machine learning is the sub-field of computer science that gives computers the ability to learn without being explicitly programmed.
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) — ($120)
- (Bayesian Machine Learning in Python: A/B Testing) — ($120)
- 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) — ($120)
- Convolutional Neural Networks in Python — ($120)
- (Easy NLP) — ($120)
- (Cluster Analysis and Unsupervised Machine Learning) — ($120)
- Unsupervised Deep Learning — ($120)
- (Hidden Markov Models) — ($120)
- Recurrent Neural Networks in Python — ($120)
- Artificial Intelligence: Reinforcement Learning in Python — ($180)
- Natural Language Processing with Deep Learning in Python — ($120)
- Advanced AI: Deep Reinforcement Learning in Python — 4 hours
- ---
- Machine Learning A-Z™: Hands-On Python & R In Data Science — $200; 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
Pages in category "Machine Learning"
The following 6 pages are in this category, out of 6 total.
