Machine Learning, Short Course | Part time online | Coursera | United States
2 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng. This Machine Learning course is offered by Coursera in partnership with Deeplearning. 

Visit the Visit programme website for more information

Overview

This Machine Learning course is offered by Coursera in partnership with Deeplearning. 

What you'll learn

  • Build ML models with NumPy & scikit-learn, build & train supervised models for prediction & binary classification tasks (linear, logistic regression)
  • Build & train a neural network with TensorFlow to perform multi-class classification, & build & use decision trees & tree ensemble methods
  • Apply best practices for ML development & use unsupervised learning techniques for unsupervised learning including clustering & anomaly detection
  • Build recommender systems with a collaborative filtering approach & a content-based deep learning method & build a deep reinforcement learning model

Skills you'll gain

  • Logistic Regression
  • Artificial Neural Network
  • Linear Regression
  • Decision Trees
  • Recommender Systems

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access

Programme Structure

Courses included:

  • Supervised Machine
  • Advanced Leaming Algorithms
  • Unsupervised Leaming, Recommenders, Reinforcement Leaming

Key information

Duration

  • Part-time
    • 2 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

  • Beginner level
  • Recommended experience

Tuition Fee

To always see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.
  • National

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 2 months.

You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus and have unlimited access

Funding

Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.

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