Machine Learning with Python - from Linear Models to Deep Learning, Certificate | Part time online | edX - online learning platform | United States
4 months
Duration
300 USD/full
300 USD/full
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About

EdX is an online learning platform trusted by over 12 million users offering the Machine Learning with Python - from Linear Models to Deep Learning course in collaboration with Massachusetts Institute of Technology - MITx. An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects.

Visit the Visit programme website for more information

Overview

Machine learning methods are commonly used across engineering and sciences, from computer systems to physics. Moreover, commercial sites such as search engines, recommender systems (e.g., Netflix, Amazon), advertisers, and financial institutions employ machine learning algorithms for content recommendation, predicting customer behavior, compliance, or risk.

As a discipline, machine learning tries to design and understand computer programs that learn from experience for the purpose of prediction or control.  

In this  Machine Learning with Python - from Linear Models to Deep Learning  certificate at Massachusetts Institute of Technology - MITx, students will learn about principles and algorithms for turning training data into effective automated predictions. 

We will cover:

  • Representation, over-fitting, regularization, generalization, VC dimension;
  • Clustering, classification, recommender problems, probabilistic modeling, reinforcement learning;
  • On-line algorithms, support vector machines, and neural networks/deep learning.

Students will implement and experiment with the algorithms in several Python projects designed for different practical applications.

This course is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an informed and effective practitioner of data science.

What you'll learn

  • Understand principles behind machine learning problems such as classification, regression, clustering, and reinforcement learning

  • Implement and analyze models such as linear models, kernel machines, neural networks, and graphical models

  • Choose suitable models for different applications

  • Implement and organize machine learning projects, from training, validation, parameter tuning, to feature engineering.

Programme Structure

Syllabus

Lectures :

  • Linear classifiers, separability, perceptron algorithm
  • Maximum margin hyperplane, loss, regularization
  • Stochastic gradient descent, over-fitting, generalization
  • Linear regression
  • Recommender problems, collaborative filtering
  • Non-linear classification, kernels
  • Learning features, Neural networks
  • Deep learning, back propagation
  • Recurrent neural networks
  • Generalization, complexity, VC-dimension
  • Unsupervised learning: clustering
  • Generative models, mixtures
  • Mixtures and the EM algorithm
  • Learning to control: Reinforcement learning
  • Reinforcement learning continued
  • Applications: Natural Language Processing

Projects :

  • Automatic Review Analyzer
  • Digit Recognition with Neural Networks
  • Reinforcement Learning

Key information

Duration

  • Part-time
    • 4 months
    • 10 hrs/week

Start dates & application deadlines

You can apply for and start this programme anytime.

Language

English

Delivered

Online

Academic requirements

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

We are not aware of any English requirements for this programme.

Other requirements

General requirements

Prerequisites:

  • 6.00.1x or proficiency in Python programming 
  • 6.431x or equivalent probability theory course
  • College-level single and multi-variable calculus
  • Vectors and matrices

Tuition Fee

To always see correct tuition fees
  • International

    300 USD/full
    Tuition Fee
    Based on the tuition of 300 USD for the full programme during 4 months.
  • National

    300 USD/full
    Tuition Fee
    Based on the tuition of 300 USD for the full programme during 4 months.
  • Add a Verified Certificate for $300 USD
  • Limited access:free

Funding

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