Machine Learning for Hands-On Engineers هذه الدورة تدرس باللغة الإنجليزية

تفاصيل الدورة

• Foundations and Tools
  • General Approach to Machine Learning
  • Review of Mathematical Concepts
  • iPython, Numpy, Matplotlib Tutorial
• Understanding Data and Features
  • Understanding & Exploring Data
  • Feature Engineering
  • Visualisation Techniques
  • Matplotlib Visualisations
• Non-Parametric Models
  • Nearest Neighbour Models
  • Decision Trees
  • Random Forests
  • Scikit Learn Tutorial
• Probabilistic Graphical Models
  • Naive Bayes Models
  • Bayesian Networks
  • Conditional Random Fields
  • Tutorial: NLTK/spaCy for NLP
• Feedforward Neural Networks
  • Single Layer Neural Network
  • Multilayer Neural Network
  • Introduction to Keras
• Deep Learning Introduction
  • Deep Learning Overview
  • Convolutional Neural Networks
  • Recurrent Neural Networks
  • Implementing Deep Neural Networks in Keras
• Models for other Common Tasks
  • Clustering Models
  • Recommender Models
  • Learning to Rank Models
  • Anomaly Detection