Machine Learning for Data Science and Analytics

Professor Ansaf Salleb-Aouissi, Cliff Stein, David Blei, Itsik Peer, Mihalis Yannakakis, Peter Orbanz, ColumbiaX

Learn the principles of machine learning and the importance of algorithms.

Machine Learning is a growing field that is used when searching the web, placing ads, credit scoring, stock trading and for many other applications.

This data science course is an introduction to machine learning and algorithms. You will develop a basic understanding of the principles of machine learning and derive practical solutions using predictive analytics. We will also examine why algorithms play an essential role in Big Data analysis.

Сессии:
  • 15 мая 2017, 5 недель
Характеристики онлайн курса:
  • Бесплатный:
  • Платный:
  • Сертификат:
  • MOOC:
  • Видеолекции:
  • Аудиолекции:
  • Email-курс:
  • Язык: Английский Gb

Отзывы

Пока никто не написал отзыв по этому курсу. Хотите быть первым?

Зарегистрируйтесь, чтобы оставить отзыв

Входит в подборки курсов:
Small-icon.hover Machine Learning
Machine learning: from the basics to advanced topics. Includes statistics...
Ещё курсы на эту тему:
Small-icon.hover Introduction to Data Science
Join the data revolution. Companies are searching for data scientists. This...
Machinelearninglogo Machine Learning
Why write programs when the computer can instead learn them from data? In this...
6.00.2x_computational_thinking_course_tile262x136_verified 6.00.2x: Introduction to Computational Thinking and Data Science
An introduction to using computation to understand real-world phenomena. About...
262x136-ut-arlington-data LINK5.10x: Data, Analytics and Learning
An introduction to the logic and methods of analysis of data to improve teaching...
Statistics-and-r-for-the-life-sciences_378x225 Introduction to Bioconductor
A focus on several techniques that are widely used in the analysis of high-dimensional...
Ещё из рубрики «Математика и статистика»:
Demystifying_biomed_378x225 Demystifying Biomedical Big Data: A User’s Guide
Whether you are a student, basic scientist, researcher, clinician, or librarian...
Idb13.1x_thumbnail AGRIMONITOR: Agricultural policy, food security and climate change
Learn the effects of agricultural policy in Latin America and the Caribbean...
Ut.7.01x_foda_banner_1280x720 Foundations of Data Analysis- Part 1: Statistics Using R
Use R to learn fundamental statistical topics such as descriptive statistics...
Ut.7.20x_-_courseicon_-_378x225_prt_2_ Foundations of Data Analysis- Part 2: Inferential Statistics
Use R to learn the fundamental statistical topic of basic inferential statistics...
Bannerrevised_2_378x225 Python for Data Science
Learn to use powerful, open-source, Python tools, including Pandas, Git and...
Ещё от edX:
Gse2x-course_card_image11132015-378x225 Leaders of Learning
Explore and understand your own theories of learning and leadership. Gain the...
Managing_disruptive_change_378x225 Managing Disruptive Change
Equip yourself with the necessary tools to not only understand changes in your...
Science_cooking_part2_378x225 Science & Cooking: From Haute Cuisine to Soft Matter Science (part 2)
Top chefs and Harvard researchers explore how everyday cooking and haute cuisine...
Dev223x_378x225 Getting Started with Azure App Service: Web Apps
Learn to host your apps in the cloud with Azure App Service Web Apps. Create...
Demystifying_biomed_378x225 Demystifying Biomedical Big Data: A User’s Guide
Whether you are a student, basic scientist, researcher, clinician, or librarian...

© 2013-2017