Tutorials > Johns Hopkins University Foundational MaThematics For AI 2025
Johns Hopkins University Foundational MaThematics For AI 2025Date: 13 March 2025 | Posted by: AD-TEAM |
![]() 1.97 GB | 00:18:47 | mp4 | 2034X1080 | 1.883:1 Genre:eLearning |Language:English Files Included : 02-function basics.mp4 (21.64 MB) 03-piecewise functions graphs.mp4 (22.84 MB) 05-graphing websites.mp4 (11.67 MB) 02-common functions.mp4 (26.77 MB) 02-equations of lines.mp4 (31.61 MB) 02-quadratic functions.mp4 (36.82 MB) 02-exponential functions.mp4 (14.52 MB) 03-logarithmic functions.mp4 (19.38 MB) 02-descriptive statistics in excel.mp4 (116.58 MB) 03-measures of dispersion.mp4 (84.54 MB) 03-data visualization the shape of data.mp4 (47.66 MB) 04-good vs bad graphs.mp4 (112.68 MB) 02-systems of linear equations.mp4 (39.94 MB) 02-vector equations.mp4 (34.12 MB) 02-matrix equations.mp4 (26.48 MB) 02-matrix operations.mp4 (25.66 MB) 02-inverse matrices.mp4 (24.47 MB) 03-analyzing scatterplots.mp4 (207.84 MB) 04-linear modeling.mp4 (27.84 MB) 05-scatterplots in excel and desmos.mp4 (25.65 MB) 02-multiple linear regression.mp4 (181.21 MB) 01-linear independence.mp4 (27.15 MB) 02-introduction to linear transformations.mp4 (29.66 MB) 03-the matrix of a linear transformation.mp4 (28.8 MB) 02-dot product length and orthogonality.mp4 (46.39 MB) 02-subspaces of r n.mp4 (30.73 MB) 02-orthogonal sets of vectors video.mp4 (30.96 MB) 03-gram schmidt process.mp4 (17.5 MB) 02-determinants.mp4 (17.11 MB) 02-introduction to eigenvalues and eigenvectors.mp4 (30.01 MB) 03-the characteristic equation.mp4 (21.25 MB) 02-probability and events.mp4 (32.84 MB) 03-combinations of events.mp4 (22.88 MB) 06-random variables.mp4 (36.02 MB) 03-conditional probability.mp4 (39.57 MB) 03-introduction to limits.mp4 (24.71 MB) 04-examples to find limits.mp4 (21.74 MB) 02-the tangent line problem.mp4 (19.08 MB) 03-derivatives.mp4 (22.88 MB) 02-maximum and minimum values.mp4 (36.8 MB) 03-python local extrema calculator.mp4 (17.64 MB) 02-optimization examples.mp4 (40.15 MB) 02-area under curves.mp4 (24.48 MB) 03-the definite integral.mp4 (17.55 MB) 05-python approximate and exact integration.mp4 (13.95 MB) 02-the fundamental theorem of calculus.mp4 (21.95 MB) 02-normal distribution i.mp4 (66.87 MB) 03-normal distribution ii.mp4 (65.4 MB) 02-partial derivatives.mp4 (28.8 MB) 02-directional derivatives and the gradient.mp4 (29.73 MB)] Screenshot ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() ![]() https://rapidgator.net/file/f6082a9fc0872644f32e42e58da0d791/Coursera.-.Johns.Hopkins.University.Foundational.Mathematics.For.AI.2025.part1.rar https://rapidgator.net/file/fb22ba36e5418df3f14e692f0dff33d5/Coursera.-.Johns.Hopkins.University.Foundational.Mathematics.For.AI.2025.part2.rar https://rapidgator.net/file/a4d5992b02caa78999480829d2625b33/Coursera.-.Johns.Hopkins.University.Foundational.Mathematics.For.AI.2025.part3.rar See full article |