Difference between revisions of "Category:Machine Learning"

Revision as of 21:13, 15 July 2018

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

Courses

Udemy

• Course order
• (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

• Geoffrey Hinton

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