Feedback
Scalable Machine Learning
Loading...

Add to Buffet

Save course to Your Buffet - Get notified, Track Progress, Plan Future Learning.
28 People Have this course in their Buffet

Scalable Machine Learning

Classified as: CS485 - Machine Learning (3 Alt. Courses Available)
Course Description:

Machine learning aims to extract knowledge from data, relying on fundamental concepts in computer science, statistics, probability and optimization. Learning algorithms enable a wide range of applications, from everyday tasks such as product recommendations and spam filtering to bleeding edge applications like self-driving cars and personalized medicine. In the age of ‘Big Data,’ with datasets rapidly growing in size and complexity and cloud computing becoming more pervasive, machine learning techniques are fast becoming a core component of large-scale data processing pipelines.   This course introduces the underlying statistical and algorithmic principles required to develop scalable real-world machine learning pipelines. We present an integrated view of data processing by highlighting the various components of these pipelines, including exploratory data analysis, feature extraction, supervised learning, and model evaluation. You will gain hands-on experience applying these principles using Apache Spark, a cluster computing system well-suited for large-scale machine learning tasks. You will implement scalable algorithms for fundamental statistical models (linear regression, logistic regression, matrix factorization, principal component analysis) while tackling key problems from various domains: online advertising, personalized recommendation, and cognitive neuroscience.

  • Instructor(s) Ameet Talwalkar
  • University
  • Provider
  • Start Date 14/Apr/2015
  • Duration Always Available
  • Main Language English
Did you find any errors in this course listing ? Help us improve and we would be eternally grateful

Related Courses

CS485 - Machine Learning Courses (3 Alt. Courses Available) Other Computer Science Courses

Course Reviews

  • No Comments Yet! Be the first one to comment.