7777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777 7777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777 7777777777777777777777777777777777777777712243347777234221777777777777777777777777777777777777777777 7777777777777777777777777777777777771456000000081777900000806542177777777777777777777777777777777777 7777777777777777777777777777777714500000000000082777000000000000063277777777777777777777777777777777 7777777777777777777777777777714600000000000000082777800000000000000003177777777777777777777777777777 7777777777777777777777777771500000000006330000082777000000635000000000052777777777777777777777777777 7777777777777777777777777150000000863277730000081777900000677714600000000517777777777777777777777777 7777777777777777777777774000000003177777100000067777500000827777714900000002777777777777777777777777 7777777777777777777777740000008517777777300000847777100000067777777740000000477777777777777777777777 7777777777777777777777743555552777777771000000077777750000084777777771600000827777777777777777777777 7777777777777777771236000000000005321776000008277777710000000177145600260000001541777777777777777777 7777777777777771460000000000000000000250000085777777772000005250000000610000084800931777777777777777 7777777777777150000000000880880000002500000057777777777400339800000000070000003000000527777777777777 7777777777713000000089533433212459529000008577777777777724000000000632128000082600000005177777777777 7777777777200000000517500000017771500000084427777777777160000008541777760000007149000000047777777777 7777777774000000051777200000091150000000946004777777772000000852500517500000847777400000005777777777 7777777730000000177777740000000449000003300008477777720000008430000006346008577777715000000677777777 7777777400000061777777772000000094460511900000027777100000082740000000005434777777777500000057777777 7777771000000917777771435460000000054177100000007777500000827712360000000009541777777750000084777777 7777775000008344355600000054680000000095420000003772996533445900053500000000000095534420000000777777 7777710000000000000000000008315000000000045000000735556900000000000032360000000000000000000008277777 7777730000000000000000806541777723600000092800008260000000000000805477771235080000000000000000577777 7777736900000009665342177777777777772459081000000550000000080654177777777777712435569000000009577777 7777777777777777777777777777777777777777717696655425553532217777777777777777777777777777777777777777 7777777111111111777777777777777777777777124355666320000081421777777777777777777777777111111117777777 7777750800000000006554217777777777723590000000000920000082900063217777777777124556008000000080077777 7777720000000000000000000632177146000000000000000810000003300000006327772360000000000000000000577777 7777770000000000000000000000063350000000080655355476000000100000000009349000000000000080000008277777 7777773000000422435560000000000093368054225690883772800000514590000000005300008065342120000009777777 7777777900000017777777145900000000052777100000007777500000847771360000000044421777777760000082777777 7777777200000001777777773533600000000612000000017777760000081150054500000005177777771600000837777777 7777777720000000477777740000543000000330000000277777719000033000000645000000677777729000008377777777 7777777772000000062777200000067749052600000002777777771686490000000317300000057771500000083777777777 7777777777160000000647900000077771460000000617777777777744000000851777750008067250000000027777777777 7777777777774000000081800000324560000000004317777777777750000000250954223344350000000003177777777777 7777777777777746000001800000450000000086350067777777777500000062000000000000000000000317777777777777 7777777777777777239081000000520000086315000006777777774000000516000000000000000080527777777777777777 7777777777777777777141500000825954277773000000477777710000006777724560008800953417777777777777777777 7777777777777777777777100000004777777777600000017777760000001777777772335335517777777777777777777777 7777777777777777777777710000000627777777280000037777200000837777777150000000277777777777777777777777 7777777777777777777777771600000006277777760000007777500000877777725000000091777777777777777777777777 7777777777777777777777777749000000005417740000081777900000677145000000000477777777777777777777777777 7777777777777777777777777777490000000000660000082777000000950000000000031777777777777777777777777777 7777777777777777777777777777772500000000000000082777000000000000000054177777777777777777777777777777 7777777777777777777777777777777772360000000000081777000000000000632777777777777777777777777777777777 7777777777777777777777777777777777777243590880007777600809553427777777777777777777777777777777777777 7777777777777777777777777777777777777777777712227777121177777777777777777777777777777777777777777777 7777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777 7777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777777
All of these resources have been hugely useful to me. Many of them I refer to on a regular basis.
Ian Goodfellow, Yoshua Bengio and Aaron Courville.
A concise, approachable and thorough theoretical explanation of machine learning concepts (bias&variance, underfitting&overfitting, model generalisation, regularisation, consistency etc.) and the mathematics of neural networks.
The full text is available (completely free) online at http://www.deeplearningbook.org/
John Miles White.
A clear introduction to algorithms for solving the multi-armed bandit problem (balancing exploration and exploitation within a system with many levers), with full implementations in python.
Deepak K. Agarwal & Bee-Chung Chen
A thorough, concise and masterful introduction to the theory of recommender systems, with a lot of insight into their practical implementation.
Frank E. Harrell, Jr.
The definitive textbook on regression modelling. A meticulous and unambiguous guide, with every piece of advice in it strongly defended by convincing logic and ample evidence.
Richard McElreath.
A conversational and alternative, yet masterful, introduction to Bayesian statistics by a teacher who clearly has an absolute grasp of his subject.
The complete lecture series (which follows the book) is made available every year by the author on his you-tube channel (https://www.youtube.com/watch?v=4WVelCswXo4&list=PLDcUM9US4XdNM4Edgs7weiyIguLSToZRI).
ISLR: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani.
Elements: Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Both books are amazing resources for machine-learning concepts and algorithms. I have seen content from both books appear in university courses in many different countries. ISLR is an introductory text, while Elements of Statistical Learning is a thorough and advanced treatment of the topics.
The full text for ISLR is available (completely free) online at http://faculty.marshall.usc.edu/gareth-james/ISL/
Accompanying lectures to the ISLR are available for free at https://www.r-bloggers.com/in-depth-introduction-to-machine-learning-in-15-hours-of-expert-videos/
The full text for Elements of Statistical Learning is available (completely free) online at https://web.stanford.edu/~hastie/ElemStatLearn/
Rob J Hyndman & George Athanasopoulos.
A very high-level introduction to a multitude of algorithms and tools for dealing with time series data, with code implementations in R.
The full text is available (completely free) online at https://otexts.com/fpp2/
Rob Hyndman’s website https://robjhyndman.com/ is itself a wealth of time-series resources.
Michael Nielsen.
A stimulating, practical and digestible introduction to deep learning. It has a very similar progression of content to the book Deep Learning by Goodfellow et al., but it contains code implementations in python (which the book does not have).
The full text is available (completely free) online at http://neuralnetworksanddeeplearning.com/
David Dalpiaz.
The text of this book is an augmented version of the book I.S.L.R (Hastie, Tshibirani et al) with extra content, simulation examples and R code. It was created for a university statistics course at the University of Illinois at Urbana-Champaign.
The full text is available (completely free) online at https://daviddalpiaz.github.io/r4sl/
David Robinson.
An intuitive approach to Empirical Bayes, providing algorithms that are immediately useful to a practitioner.
Grant Sanderson.
An invaluable resource for understanding principles from mathematics and statistics.
Concepts are illustrated with the aid of incredible custom visualisations.
The linear algebra video series in particular helped me to develop a proper understanding of important concepts such as span, linear transformations and eigenvectors.
A very clear introduction to content based filtering for recommender systems.
Available at: https://www.youtube.com/watch?v=2uxXPzm-7FY
I haven’t watched the other lectures in the lecture series, but I am sure that they will also be very good.