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BookMathematics for Machine LearningDeisenroth, Faisal, Ong
YouTubeEssence of linear algebra3Blue1Brown
YouTubeEssence of calculus3Blue1Brown
BookLinear Algebra Done RightSheldon Axler
BookIntroduction to ProbabilityBlitzstein & Hwang
CourseStat 110Harvard
CourseMIT 18.06 Linear AlgebraGilbert Strang
CourseMIT 18.01 Single Variable CalculusMIT OCW
CourseKhan Academy — StatisticsKhan Academy
BookAll of StatisticsLarry Wasserman
BookConvex OptimizationBoyd & Vandenberghe
BookInformation Theory, Inference, and LearningDavid MacKay
PaperA Mathematical Theory of CommunicationShannon 1948
PaperThe PerceptronRosenblatt 1958
PaperAdamKingma & Ba 2015
ToolSeeing TheoryBrown University
ToolDesmosGraphing
GitHub3b1b/manimManim
GitHubnumpy/numpyNumPy
BookThe Art of Doing Science and EngineeringRichard Hamming
BookWhy Machines LearnAnil Ananthaswamy
BookProbability: For the Enthusiastic BeginnerDavid Morin
PersonGilbert StrangMIT
PersonGrant Sanderson3Blue1Brown
PersonTerence TaoUCLA
BlogBetter ExplainedKalid Azad
BlogDistill.pubDistill
PaperMatrix calculus for deep learningParr & Howard 2018
YouTubeStatQuestJosh Starmer
GitHubpenrose/penrosePenrose
Interview QWhy is argmax different from max?module check
Interview QWhen is a point on a set's boundary?module check
Interview QWhat does rank limit in an affine map?module check
12 modules · 140 lessons