subhobrata / Courses_DL_ML

Courses_DL_ML

Deep Learning in Computer Vision with Prof. Kosta Derpanis (Ryerson University)

https://www.cs.ryerson.ca/~kosta/CP8309-F2018/index.html?fbclid=IwAR0xemr0dSxVsw5ERuD3qbDcqTdLCIoEHcDWxesnHrh16mdCWjUWcmhxnJk

https://github.com/ansegura7/MachineLearning https://github.com/ansegura7?tab=repositories https://twitter.com/SeguraAndres7/status/1410994524894240771

LxMLS 2021

https://www.youtube.com/playlist?list=PLQl_xdhSmQegzsLin54NbfePFAuTUEmUj

BCAM - Basque Center for Applied Mathematics

https://www.youtube.com/user/BCAMchannel/playlists

Carberra Tutorials

https://www.youtube.com/watch?v=Nmu4_rCNIdY https://github.com/Carberra/data-analysis-tutorial

https://www.learn-ml.org/ https://blackboxnlp.github.io/

Full Stack Deep Learning

https://docs.google.com/document/d/e/2PACX-1vSM5sHxDqM1XmE0PkvZjch6-lPCLBozy-UV4YsdbqXzjUgd7UhuNtg9T3Jr9MqP4CD79FpevxYh3p0p/pub https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2021-labs https://www.youtube.com/c/FullStackDeepLearning/videos

CMSC828U, Algorithms in Machine Learning: Guarantees and Analyses

http://www.cs.umd.edu/class/fall2020/cmsc828u/ https://www.youtube.com/playlist?list=PLM0SC1uXFSPo5TO_UN7fia1luj73yuHEC

Non-Euclidean Methods in Machine Learning

http://graphics.stanford.edu/courses/cs468-20-fall/schedule.html https://www.youtube.com/playlist?list=PLlASSih11GgFbKOvzg-vlaAPS6WU6-_Xz

Numerical Linear Algebra 2020-2021

https://www.youtube.com/user/martijnanth/playlists

Numerical-Computing-in-Python-with-NumPy-and-SciPy

https://github.com/coolernato/Numerical-Computing-in-Python-with-NumPy-and-SciPy

Chinese University Courses

https://sites.google.com/view/nsysu-dvlab/courses/computer-vision-2021#h.ayrme7ruk5gu https://sites.google.com/view/nsysu-dvlab/courses/linear-algebra-2021?authuser=0

NeEDS - Network of European Data Scientists

https://www.youtube.com/playlist?list=PL8Itx3jglgw493OOF_YmqlSUgxKBUdncl https://riseneeds.eu/

Introduction to Symbolic Computation

http://homepages.math.uic.edu/~jan/mcs320/mcs320notes/index.html

CMSC 420 - 0101 Data Structures Spring 2021 Dave Mount

https://www.cs.umd.edu/class/spring2021/cmsc420-0101/lectures.html

Dataflowr

https://dataflowr.github.io/website/modules/graph1/ https://dataflowr.github.io/website/modules/graph2/ https://dataflowr.github.io/website/modules/graph3/ https://www.youtube.com/channel/UCooNXm7hUIKnFn4oLvYXotQ/playlists https://dataflowr.github.io/website/modules/extras/Convolutions_first/

Mark Saroufim

https://www.youtube.com/user/marksaroufim/videos

Jens Behley

https://www.youtube.com/channel/UCq8xRLqKcc8FSpYrPMrCvTQ/playlists

Tali Dekel

https://www.youtube.com/user/talibasha/playlists

Butterfly Learning

https://www.youtube.com/channel/UCl-sjClQb1FOv63Wo5HMXLA/videos

Vojtěch Vrba

https://www.youtube.com/c/Vojt%C4%9BchVrba/playlists

CompStat Munich

https://www.youtube.com/channel/UCr4ZcPk0siqHBISY-OzFotQ https://introduction-to-machine-learning.netlify.app/

Swapneel Mehta

https://www.youtube.com/channel/UCjxlsK4aY-RGe3yoBp7N0UA/playlists

TwinEd Productions

https://www.youtube.com/channel/UC9Veyd5VRiS_0_m94rzW6sw/videos

Amazing Feature engineering

https://github.com/ashishpatel26/Amazing-Feature-Engineering

Carberra Tutorials

https://www.youtube.com/c/CarberraTutorials/videos

ML & IoT Lab

https://www.youtube.com/channel/UC9AM1RPa565t1dmVPXG5vmw/videos

Aladdin Persson

https://www.youtube.com/c/AladdinPersson/videos

Chandrashekhar Padole

https://www.youtube.com/user/chandupadole/videos

Mo Medwani https://www.youtube.com/channel/UCz_heFdzJAvXq8DwEqLbdKA/playlists

The Machine Learning & Deep Learning Show

https://www.youtube.com/channel/UCkXNihhngE8t3nbXyuN0SFQ/videos

ProjectPro - Data Science Projects

https://www.youtube.com/channel/UCfuyYAtTG15_db2PRuaerZg/playlists

Complete-Life-Cycle-of-a-Data-Science-Project

https://github.com/achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

https://github.com/parrt/msds621

ULFinance

https://www.youtube.com/c/ULFinance/playlists

Ilya Schurov

https://www.youtube.com/user/ilyaschurov/videos

NetPyNE2021

https://www.youtube.com/watch?v=Fcc-cg6t0Eg&t=38s

The Independent Code

https://www.youtube.com/channel/UC1OLIHvAKBQy3o5LcbbxUSg/videos

Asaminew Gizaw

https://www.youtube.com/channel/UCmxqDgtIJLYROkrwGRGGDxA/videos

ML Made Easy

https://www.youtube.com/channel/UCyhBWxhmhZLOmCwgnXDltmA/videos

BS and MS Statistics and Data science from IIT Kanpur

https://www.iitk.ac.in/math/bs-ms

Deep Learning Visuals

https://github.com/dvgodoy/dl-visuals

Visajobs

https://www.visajobshq.com/post/data-scientist-in-netherlands-work-visa-sponsorship-available

EC 524, Winter 2020

https://github.com/edrubin/EC524W20

PYTOTCH IMAGE MODELS

https://github.com/rwightman/pytorch-image-models

The Book of Statistical Proofs

https://statproofbook.github.io/

https://pair.withgoogle.com/guidebook

Mathematical Tools for Data Science

https://cds.nyu.edu/math-tools/

hamannlab

https://www.youtube.com/user/hamannlab/videos

PyColorado

https://www.youtube.com/channel/UC8D8-zQbn9dOvUKtmsFnpGw/videos

Handbook of Regression Modeling in People Analytics by Keith McNulty

http://peopleanalytics-regression-book.org/

ChrisAlbon

https://www.twitch.tv/wikimediaml

Introduction To Deep Learning

https://github.com/Tebs-Lab/intro-to-deep-learning

Machine Learning Course

https://ansegura7.github.io/MachineLearning/

Machine learning Maths book

https://book.tivadardanka.com/

Applied Deep Learning

https://github.com/maziarraissi/Applied-Deep-Learning

Intro to Machine Learning

https://github.com/savvy379/intro_to_ml

Everything Deep Learning https://www.youtube.com/channel/UCnr-oE6mrdjtVypaWyIGc8w/videos

Ivan Habernal

https://www.youtube.com/user/anonymous71208/videos

KTU | Mathematics for Machine Learning

https://www.youtube.com/playlist?list=PL0j1SAXqn8ZuPeSxFF-6RowAqE-HhpNGb

Neuromatch Academy

https://www.youtube.com/channel/UC4LoD4yNBuLKQwDOV6t-KPw/playlists

Text Retrieval

https://www.youtube.com/playlist?list=PLLssT5z_DsK8Jk8mpFc_RPzn2obhotfDO

NLP Course

https://www.youtube.com/watch?v=oWsMIW-5xUc&list=PLLssT5z_DsK8HbD2sPcUIDfQ7zmBarMYv

SCADS Data Science Channel

https://www.youtube.com/channel/UCpVMgTZzebVvH4rJ0N5c_MQ/playlists

Ari Seff

https://www.youtube.com/c/AriSeffAI/videos

PyCon Israel

https://www.youtube.com/c/PyConIsrael/videos

Time Series Analysis NSW

https://www.youtube.com/playlist?list=PLxQSlOe-wlgCx3zO3PxdneU-b0-Jsmd-C

Leman Lectures

https://www.youtube.com/channel/UC7sD7g1gNeug0kMtDmSP7Aw/videos

CO673/CS794 - Lectures (tentative)

https://cs.uwaterloo.ca/~y328yu/mycourses/794-2020/lecture.html

Category Theory

https://www.youtube.com/playlist?list=PLbgaMIhjbmEnaH_LTkxLI7FMa2HsnawM_

Carnegie Mellon University Deep Learning

https://www.youtube.com/channel/UC8hYZGEkI2dDO8scT8C5UQA/playlists

Joseph Bakarji

https://www.youtube.com/watch?v=xXF-1ucUVU4&t=1120s

Minjoon Seo

https://seominjoon.github.io/kaist-ai605/ https://www.youtube.com/c/MinjoonSeo329/playlists

Yury Kashnitsky

https://www.youtube.com/channel/UCgGADKKGalfwSNbpSyM5ryg/videos

cvprtum

https://www.youtube.com/user/cvprtum/playlists

Kuan-Ting Lai

https://www.youtube.com/c/KuanTingLai/playlists

Raymond Cao

https://www.youtube.com/channel/UCBLn3cKe00PP0aHPKRjoGBA/videos https://github.com/rayc2020/LessonPythonCode

Repository for code and materials for the Galvanize DSI Premium Prep

https://github.com/GalvanizeOpenSource/dsi-premium-prep

Prof Dr - Ing Morris Riedel

https://www.youtube.com/channel/UCWC4VKHmL4NZgFfKoHtANKg/playlists

CPSC392

https://www.youtube.com/playlist?list=PLmxpwhh4FDm5zuA_63jV6iiz5wrg76UHV https://github.com/cmparlettpelleriti/CPSC392ParlettPelleriti

Reproducible Deep Learning

https://github.com/sscardapane/reprodl2021

François Fleuret

https://fleuret.org/dlc/#lecture-10

Sean Holden's Artificial Intelligence Courses

https://www.youtube.com/channel/UCslVztc6jzh5wLEG-iKHbwQ/playlists https://www.cl.cam.ac.uk/~sbh11/

KAUST Visualization Core Lab

https://www.youtube.com/channel/UCR1RFwgvADo5CutK0LnZRrw/playlists

Advanced probability and applications

https://moodle.epfl.ch/course/view.php?id=14557

Linear Algebra Animations

https://www.youtube.com/channel/UC4tBtpcL_noyBi0Ac2-6llA/videos

Automl

https://github.com/vopani/fortyone#automl-series-

Luke Postle

https://www.youtube.com/playlist?list=PL2BdWtDKMS6nRF72s3TOGyBqXwMVHYiLU

Erdem Akagündüz

https://www.youtube.com/channel/UCQlfzrQCOF7hYnw6cqekr1A/videos

debdeep's Harvard Lectures

https://www.youtube.com/channel/UC0rDBCkhasTCVGJcnVyFHHQ/videos https://harvard-ml-courses.github.io/cs181-web/recap2 https://github.com/harvard-ml-courses http://cs109.github.io/2015/pages/videos.html https://harvard-iacs.github.io/2020-CS109B/pages/materials.html https://harvard-iacs.github.io/2021-CS109B/ https://canvas.harvard.edu/courses/37482/pages/lecture-videos?module_item_id=353419 https://github.com/Harvard-IACS

Ha Nguyen

https://www.youtube.com/c/HaNguyen149/videos

mildlyoverfitted

https://www.youtube.com/c/mildlyoverfitted/videos

SMILES - Summer School of Machine Learning at SK

https://www.youtube.com/c/SMILESSummerSchoolofMachineLearningatSK/videos

Machine Learning Mastery

https://www.youtube.com/channel/UCS1dQr2X_ComHN4PXYDS4gA/videos

김승룡[ 조교수 / 컴퓨터학과 ]

https://www.youtube.com/channel/UCro6IqfE5NOspKCDusilfmw/playlists

CompStat Munich

https://www.youtube.com/channel/UCr4ZcPk0siqHBISY-OzFotQ/videos

Faraz Moghimi

MBA AF 632 : Asset Management Practicum Spring 2021 https://www.youtube.com/channel/UCT_ImMy14waTh1vU1aYfORw/videos

Gilles Louppe

https://www.youtube.com/user/42gl/videos

Deep Imaging

https://www.youtube.com/channel/UCywoX0JJTEKvL6PnxZWDP5Q/videos

Humans to Robots Motion Research Group

https://www.youtube.com/channel/UCVe0W0-tDpHaTuxLB8DmV2g/videos

Butterfly Learning

https://www.youtube.com/channel/UCl-sjClQb1FOv63Wo5HMXLA/videos

Badri Adhikari

https://www.youtube.com/channel/UCIuidueYpCwUTwc5dsM4o9g/videos

Sebastian Hofstätter

https://www.youtube.com/user/leichtParanoid/videos

Calgary Data Science Academy

https://www.youtube.com/channel/UCR--quhZBhQo-I9-cpHLFPw/playlists

ChrisMcCormickAI

https://www.youtube.com/channel/UCoRX98PLOsaN8PtekB9kWrw/videos

Hari Srihari

https://www.youtube.com/channel/UCUm7yUmVJyAbYh_0ppJ4H-g/playlists

Prof Ghrist Math

https://www2.math.upenn.edu/~ghrist/BLUE.html https://www.youtube.com/c/ProfGhristMath/playlists

Data ICMC

https://www.youtube.com/channel/UC_pily9Uu-j3BgAzjeEc60A

Andrei Zinovyev

https://www.youtube.com/channel/UCW55rJjr38HdfnPvz_SQFhA/videos

Krishnaswamy Lab

https://www.youtube.com/channel/UC3qWc7ktrRJVGjYY6Fys4-A/videos

CVRP Lab at NUS

https://www.youtube.com/channel/UC8wqMjG6rQNN_1EGLmOfNnA/playlists

Keenan Crane

https://www.youtube.com/c/keenancrane/videos

Kaggle Solutions

https://farid.one/kaggle-solutions/ https://github.com/faridrashidi/kaggle-solutions https://www.kaggle.com/headsortails/hidden-gems-a-collection-of-underrated-notebooks https://www.kaggle.com/headsortails/notebooks-of-the-week-hidden-gems

Geoff Hulten

https://www.youtube.com/c/GeoffHulten/videos

Optimum Prime

https://www.youtube.com/channel/UC2FECDvMphKdqi8RnFGD3Bg/playlists

Andreas Mueller

https://www.youtube.com/channel/UCMEXgDffQy6nS2a74Gby8ZA https://inria.github.io/scikit-learn-mooc/

https://mlvu.github.io/

https://mlvu.github.io/ https://www.youtube.com/user/riskone1

Github

https://github.com/jtao/AdvancedML https://github.com/kapelner/QC_MATH_342W_Spring_2021 https://github.com/Offliners/ML-writeup https://github.com/AndrewKalil/holbertonschool-machine_learning https://github.com/ankitbit/Machine-Learning https://ml.ubc.ca/mlrg/ cs167.github.io https://github.com/cs167/cs167.github.io https://github.com/jarek-pawlowski/advanced-machine-learning https://github.com/cndssldrgl/Introduction_to_Machine_Learning_Course https://github.com/nicta839/MSc_Statistics_and_Machine_Learning https://github.com/graf10a/Applied-Machine-Learning-Course https://github.com/SERG-Delft/remla https://github.com/marshka/ml-20-21 https://jeremy9959.net/Math-3094-Spring-2021/ https://github.com/jeremy9959/Math-3094-Spring-2021 https://github.com/andrea-gasparini/machine-learning-homeworks

italian-machine-learning-course

https://github.com/galeone/italian-machine-learning-course

CSC2541 Winter 2021 Topics in Machine Learning: Neural Net Training Dynamics

https://www.cs.toronto.edu/~rgrosse/courses/csc2541_2021/

Shape Analysis

https://www.youtube.com/playlist?list=PLQ3UicqQtfNtUcdTMLgKSTTOiEsCw2VBW

DEEP LEARNING COURSE OF UNIGE/EPFL

https://fleuret.org/dlc/#lecture-7

Foundations of Data Science

https://www.youtube.com/channel/UCHxCgxeMzE3vkxVsqyudzdA/playlists

Mediterranean Machine Learning

https://www.m2lschool.org/ https://www.youtube.com/playlist?list=PLF-wkqRv4u1YRbfnwN8cXXyrmXld-sked

Jarrar Lectures

https://www.youtube.com/c/JarrarCourses/playlists http://www.jarrar.info/courses/AI/ http://www.jarrar.info/courses/AI/Jarrar.LectureNotes.AI.IntoMachineLearning.pdf

Ahmad Bazzi

https://www.youtube.com/c/AhmadBazzi/videos

CompStat Munich

https://introduction-to-machine-learning.netlify.app/ https://www.youtube.com/channel/UCr4ZcPk0siqHBISY-OzFotQ/videos

Deep Learning for Computer Vision:Fundamentals and Applications

https://dl4cv.github.io/ https://www.youtube.com/playlist?list=PL_Z2_U9MIJdNgFM7-f2fZ9ZxjVRP_jhJv

Deep Learning for Computer Vision - Justin Johnson

https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r

Ryan Chesler

https://www.youtube.com/c/ITConnected/playlists

Karol Majek

https://www.youtube.com/c/KarolMajek/playlists

scikit-learn-mooc

https://inria.github.io/scikit-learn-mooc/

YellowRobot.XYZ

https://www.youtube.com/user/evaldsurtans/videos

Artificial Intelligence

https://www.youtube.com/c/AIResearchUpdates/playlists

Andreas Maier

https://www.youtube.com/c/AndreasMaierTV/playlists

Soheil Feizi

CMSC 828W: Foundations of Deep Learning

https://www.cs.umd.edu/~sfeizi/ http://www.cs.umd.edu/class/fall2020/cmsc828W/ https://www.youtube.com/user/soheilfeiz/playlists

Florian Marquardt

https://www.youtube.com/channel/UCv6Vor64ENpDyevHvrDQSLA/playlists

Machine learning fundationals NSW HSC Maths

https://www.youtube.com/playlist?list=PLxQSlOe-wlgAG_A_6ES9hpD_2-gm1D-UY

Seung-Tai. Park

https://www.youtube.com/user/stapark11/videos

Se Young Yun

https://www.youtube.com/user/list1343/playlists

Sabudh Foundation

https://www.youtube.com/channel/UCD-iSQ93rnyy74l88hy4p2w/videos

TWIML Community

https://www.youtube.com/channel/UCWtY0NYpa3hXbJprpt1qLbQ/playlists

SIA

https://www.youtube.com/channel/UCpOzm86FK6ykphKwDJxVtZw/playlists

Pedram Jahangiry

https://www.youtube.com/channel/UCNDElcuuyX-2pSatVBDpJJQ/videos https://github.com/PJalgotrader/ML-USU-SP21

Machine Learing Center

https://www.youtube.com/channel/UCE1RgRW359YSjUVPmjTmGHg/playlists

Pytorch

https://www.youtube.com/c/PyTorch/playlists

Ricardo Calix

https://www.youtube.com/channel/UCKRgi-HJDEq0a3nhlG2nQvg/playlists

Erdem Akagündüz

https://www.youtube.com/channel/UCQlfzrQCOF7hYnw6cqekr1A/playlists

Data Umbrella

https://www.youtube.com/c/DataUmbrella/videos

Matthias Niessner

https://niessnerlab.org/teaching.html https://niessner.github.io/I2DL/

Data and Knowledge Modeling and Analysis

https://www.youtube.com/channel/UC7vU2kP8oNwvr0GuAqoxYGA/playlists

UofU Data Science

https://www.youtube.com/c/UofUDataScience/playlists

EEC610 - Fall 2020

https://www.youtube.com/playlist?list=PL1oUplw2JBTh6LX7SItnzrp4jlGABIZzs

CS/STAT 287:

https://www.youtube.com/playlist?list=PLnv2PpSGjnm-Jne9Alg0hPw4cca-5ehIM

Non-Euclidean Methods in Machine Learning

http://graphics.stanford.edu/courses/cs468-20-fall/

Bayesian Data Analysis course

https://avehtari.github.io/BDA_course_Aalto/

Rishabh Iyer

https://www.youtube.com/channel/UCFxNtj-vst1VQKWjtwlzAzQ/playlists

Thomas Slawig

https://www.youtube.com/user/thomasslawig/playlists

Multimodal Machine Learning

https://www.youtube.com/playlist?list=PLTLz0-WCKX616TjsrgPr2wFzKF54y-ZKc

Henry AI Labs

https://www.youtube.com/channel/UCHB9VepY6kYvZjj0Bgxnpbw/videos

Introduction to Linear Algebra for Applied Machine Learning with Python

https://pabloinsente.github.io/intro-linear-algebra

Made with ML

https://madewithml.com/courses/mlops/

Galvanize Data Science

https://www.youtube.com/channel/UC65Th93eDb2iuD-9fZVnjFg/videos

Tübingen Machine Learning

https://www.youtube.com/channel/UCupmCsCA5CFXmm31PkUhEbA

Gary Holness

https://www.youtube.com/channel/UCMxdbJX_n11lkVSRwVa0AjA/playlists

Machine Learning lectures

Notebook https://github.com/.../07%20-%20Bayesian%20Learning.ipynb Videos https://www.youtube.com/watch?v=5ZOPtHKzHrM&t=14s Slides https://ml-course.github.io/master/

Modeling and Simulation in Python by Allen B. Downey

https://allendowney.github.io/ModSimPy/index.html

Sebastian Raschka

https://www.youtube.com/c/SebastianRaschka/playlists

Lectures for UC Berkeley CS 182: Deep Learning

https://www.youtube.com/playlist?list=PL_iWQOsE6TfVmKkQHucjPAoRtIJYt8a5A

Applied Machine Learning

https://www.youtube.com/watch?v=vcE9WGbi4QY&list=PL2UML_KCiC0UlY7iCQDSiGDMovaupqc83 https://github.com/kuleshov/cornell-cs5785-applied-ml

CMU Neural Nets for NLP 2021 Graham Neubig

https://www.youtube.com/playlist?list=PL8PYTP1V4I8AkaHEJ7lOOrlex-pcxS-XV

Deep Learning Lectures

https://www.youtube.com/playlist?list=PLMsTLcO6etti_SObSLvk9ZNvoS_0yia57

Lectures by Professor Sanjay Lall, Stanford University.

https://www.youtube.com/playlist?list=PLoROMvodv4rN_Uy7_wmS051_q1d6akXmK

Stanford ENGR108: Introduction to Applied Linear Algebra

https://www.youtube.com/watch?v=oR6G1MUMveE&list=PLoROMvodv4rMz-WbFQtNUsUElIh2cPmN9

Stanford CS330: Multi-Task and Meta-Learning

https://www.youtube.com/watch?v=0rZtSwNOTQo&list=PLoROMvodv4rMC6zfYmnD7UG3LVvwaITY5

Stanford CS221: Artificial Intelligence: Principles

https://www.youtube.com/watch?v=J8Eh7RqggsU&list=PLoROMvodv4rO1NB9TD4iUZ3qghGEGtqNX

Stanford CS224U: Natural Language Understanding | Spring 2019

https://www.youtube.com/watch?v=tZ_Jrc_nRJY&list=PLoROMvodv4rObpMCir6rNNUlFAn56Js20

Theja Tulabandhula

#https://github.com/thejat/dl-notebooks/blob/master/LectureDetails.ipynb https://www.youtube.com/c/ThejaTulabandhula/playlists

Broderick: Machine Learning, MIT 6.036 Fall 2020

https://www.youtube.com/playlist?list=PLxC_ffO4q_rW0bqQB80_vcQB09HOA3ClV

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

https://github.com/parrt/msds621

UVA DEEP LEARNING COURSE

http://uvadlc.github.io/

COMP547: Deep Unsupervised Learning

https://aykuterdem.github.io/classes/comp547/lectures.html

Data Engineering Course

https://www.youtube.com/playlist?list=PLl1UZ8mtwZDCrXv830r6eZ_TFMu-kVWI0

Machine learning with kernel methods, Spring 2021

https://www.youtube.com/playlist?list=PLD93kGj6_EdrkNj27AZMecbRlQ1SMkp_o http://members.cbio.mines-paristech.fr/~jvert/svn/kernelcourse/course/2021mva/index.html

UMass CS685 (Advanced NLP): course introduction

https://www.youtube.com/watch?v=TEEAz-Sn15c&list=PLWnsVgP6CzadmQX6qevbar3_vDBioWHJL

UC Davis Statistics 208 : Statistical Machine Learning

https://www.youtube.com/playlist?list=PLCTcZfebNw2kcgWfMu41CMCA1c03lVLBE https://github.com/jsharpna/DavisSML

Ryan T

https://www.youtube.com/channel/UCIvaLZcfz3ikJ1cD-zMpIXg/playlists

Aaron Meyer

https://www.youtube.com/channel/UC0l-QH53oIi9xR81P32-jYg/playlists https://aarmey.github.io/ml-for-bioe/outline/

Full Stack Deep Learning

https://www.youtube.com/c/FullStackDeepLearning/playlists

Chris Albon

https://www.youtube.com/c/ChrisAlbonVideos/videos