Undergraduate Machine Learning (Nando de Freitas/University of British Columbia)
Author: prof Nando de Freitas
π¬ 33 lessons
β° 21 hours
An undergraduate machine learning course. Lectures are filmed and put on YouTube with the slides posted on the course website. The course assignments are posted as well (no solutions, though). De Freitas is now a full-time professor at the University of Oxford and receives praise for his teaching abilities in various forums. Graduate version available.
https://www.cs.ubc.ca/~nando/340-2012/index.php
#machinelearning #datascience #statistics
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Author: prof Nando de Freitas
π¬ 33 lessons
β° 21 hours
An undergraduate machine learning course. Lectures are filmed and put on YouTube with the slides posted on the course website. The course assignments are posted as well (no solutions, though). De Freitas is now a full-time professor at the University of Oxford and receives praise for his teaching abilities in various forums. Graduate version available.
https://www.cs.ubc.ca/~nando/340-2012/index.php
#machinelearning #datascience #statistics
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undergraduate machine learning at UBC 2012
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STATISTICS FOR DATA SCIENCE COURSE
Complete Statistics for Data Science in 6 hrs by Krish Naik
https://youtu.be/LZzq1zSL1bs
#data_science #stat
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Complete Statistics for Data Science in 6 hrs by Krish Naik
https://youtu.be/LZzq1zSL1bs
#data_science #stat
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Complete Statistics For Data Science In 6 hours By Krish Naik
Statistics is the discipline that concerns the collection, organization, analysis, interpretation, and presentation of data. In applying statistics to a scientific, industrial, or social problem, it is conventional to begin with a statistical population orβ¦
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Practical statistics for data scientists
by Peter Bruce and Andrew Bruce
π Book Link
Think Stats
by Allen B. Downey
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Computer Age Statistical Inference
by Bradley Efron and Trevor Hastie
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Statistics in Plain English
by Timothy C. Urdan
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#Statistics #books #data_science
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*This channel belongs to @bigdataspecialist group
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by Daniel Krasner
π 141 pages
π Book link
#BigData #DataScience #MachineLearning #Statistics
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π Free Online Course
RatingβοΈ: 4.8 out 5
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RatingβοΈ: 4.6 out 5
Students π¨βπ : 6,535
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NOC:Engineering Statistics, IIT Bombay
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MIT OpenCourseWare
Lecture 1: Introduction to Statistics | Statistics for Applications | Mathematics | MIT OpenCourseWare
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
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