Machine Learning for Hands-On Engineers
السعر: 55,000 INR

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
تحديث بتاريخ 30 May, 2018

المتطلبات

  • Degree in Engineering
  • No prior knowledge of Machine Learning required
  • Should be comfortable coding in Python
  • Elementary knowledge of matrices, probability and differential calculus is preferred

وظائف مناسبة لهذه الدورة

Software Developer , التعلم الآلي , Data Scientist

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