Видео ютуба по тегу Mit Data

MIT Applied Data Science Program
MIT Applied Data Science Program
MicroMasters in Data Science from MIT - Full Review
MicroMasters in Data Science from MIT - Full Review
Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists
Lecture 01: Introduction to 14.310x Data Analysis for Social Scientists
Using Big Data in the Workplace -- MIT Professional Education Courses
Using Big Data in the Workplace -- MIT Professional Education Courses
1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
Alberto Abadie -- Data-driven Policy Analysis for the 21st Century
Alberto Abadie -- Data-driven Policy Analysis for the 21st Century
Building networks of data science and machine learning talent: MIT IDSS and BREIT
Building networks of data science and machine learning talent: MIT IDSS and BREIT
Information session on MIT xPRO’s Professional Certificate in Data Engineering program
Information session on MIT xPRO’s Professional Certificate in Data Engineering program
Lecture: Mathematics of Big Data and Machine Learning
Lecture: Mathematics of Big Data and Machine Learning
Course Preview | Professional Certificate in Data Science and Analytics from MIT xPRO
Course Preview | Professional Certificate in Data Science and Analytics from MIT xPRO
MIT Introduction to Deep Learning | 6.S191
MIT Introduction to Deep Learning | 6.S191
11. Introduction to Machine Learning
11. Introduction to Machine Learning
MIT Bootcamps: How to Make your Company Data Driven by Timothy Ward
MIT Bootcamps: How to Make your Company Data Driven by Timothy Ward
Course Preview | Professional Certificate in Data Engineering from MIT xPRO
Course Preview | Professional Certificate in Data Engineering from MIT xPRO
MIT Admission Statistics 2026: Acceptance Rate, Admission Factors, Common Data Set, and Must-Haves!
MIT Admission Statistics 2026: Acceptance Rate, Admission Factors, Common Data Set, and Must-Haves!