Category:Machine Learning
From Christoph's Personal Wiki
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) — Free
- Linear Regression in Python — $30 ($120)
- Logistic Regression in Python — $30 ($120)
- (Supervised Machine Learning in Python) — $30 ($120)
- (Bayesian Machine Learning in Python: A/B Testing) — $30 ($120)
- Deep Learning in Python — $30 ($120)
- Practical Deep Learning in Theano and TensorFlow — $30 ($120)
- (Supervised Machine Learning in Python 2: Ensemble Methods) — $30 ($120)
- Convolutional Neural Networks in Python — $30 ($120)
- (Easy NLP) — $30 ($120)
- (Cluster Analysis and Unsupervised Machine Learning) — $30 ($120)
- Unsupervised Deep Learning — $30 ($120)
- (Hidden Markov Models) — $30 ($120)
- Recurrent Neural Networks in Python — $30 ($120)
- Artificial Intelligence: Reinforcement Learning in Python — $45 ($180)
- Natural Language Processing with Deep Learning in Python — $30 ($120)
- 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:
Pages in category "Machine Learning"
The following 6 pages are in this category, out of 6 total.