Machine Learning, Certificate

Machine Learning, Certificate

  • Anytime
    Application Deadline
  • 84 days
    Duration
EdX is an online learning platform trusted by over 12 million users offering the Machine Learning Program in collaboration with Columbia University - ColumbiaX. Master the essentials of machine learning and algorithms to help improve learning from data without human intervention.

About

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Machine Learning Machine Learning is the basis for the most exciting careers in data analysis today. In this Machine Learning course, part of the Artificial Intelligence MicroMasters program from Columbia University - ColumbiaX Columbia University - ColumbiaX you will learn the models and methods and apply them to real world situations ranging from identifying trending news topics, to building recommendation engines, ranking sports teams and plotting the path of movie zombies.

Major perspectives covered include:
  • probabilistic versus non-probabilistic modeling
  • supervised versus unsupervised learning
What you'll learn
  • Supervised learning techniques for regression and classification
  • Unsupervised learning techniques for data modeling and analysis
  • Probabilistic versus non-probabilistic viewpoints
  • Optimization and inference algorithms for model learning

Topics include: classification and regression, clustering methods, sequential models, matrix factorization, topic modeling and model selection.

Methods include: linear and logistic regression, support vector machines, tree classifiers, boosting, maximum likelihood and MAP inference, EM algorithm, hidden Markov models, Kalman filters, k-means, Gaussian mixture models, among others.

In the first half of the course we will cover supervised learning techniques for regression and classification. In this framework, we possess an output or response that we wish to predict based on a set of inputs. We will discuss several fundamental methods for performing this task and algorithms for their optimization. Our approach will be more practically motivated, meaning we will fully develop a mathematical understanding of the respective algorithms, but we will only briefly touch on abstract learning theory.

In the second half of the course we shift to unsupervised learning techniques. In these problems the end goal less clear-cut than predicting an output based on a corresponding input. We will cover three fundamental problems of unsupervised learning: data clustering, matrix factorization, and sequential models for order-dependent data. Some applications of these models include object recommendation and topic modeling.

The Machine Learning programme is part of the Artificial Intelligence MicroMasters Program.

Detailed Programme Facts

Programme Structure

Courses include:
  • maximum likelihood estimation, linear regression, least squares
  • ridge regression, bias-variance, Bayes rule, maximum a posteriori inference
  • Bayesian linear regression, sparsity, subset selection for linear regression
  • nearest neighbour classification, Bayes classifiers, linear classifiers, perceptron
  • logistic regression, Laplace approximation, kernel methods, Gaussian processes
  • clustering, k-means, EM algorithm, missing data

English Language Requirements

This programme requires students to demonstrate proficiency in English.

Academic Requirements

  • Calculus
  • Linear algebra
  • Probability and statistical concepts
  • Coding and comfort with data manipulation

Tuition Fee

  • International Applies to you

    199 USD/full
    Tuition Fee
    Based on the original amount of 199 USD for the full programme and a duration of 84 days.
  • National Applies to you

    199 USD/full
    Tuition Fee
    Based on the original amount of 199 USD for the full programme and a duration of 84 days.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • 5% discount coupon: Z7LZNQ4TN3B2JTWU valid for any free course + certificate upgrade

Funding

Check the programme website for information about funding options.

StudyPortals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

The Global Study Awards: get funded with up to £10,000 to study abroad

Together with the ISIC Association and British Council IELTS, StudyPortals offers you the chance to receive up to £10000 to expand your horizon and study abroad. We want to ultimately encourage you to study abroad in order to experience and explore new countries, cultures and languages.