Machine Learning: post #542 — TG.ME

MAMachine Learning@machinelearninglovers · 1.6K subscribersOpen in TelegramOpen

You will learn & implement:

👉 Graphs & Equations
👉 Linear Algebraic methods, operations, structures & functions
👉 Matrix Norms, Tensors & Vectors
👉 Eigen Vectors & Eighen values and its Implementation in ML.
👉 Application of Linear Algebra in ML & DL.
👉 Python Implementation A-Z
👉 Multivariate Calculus
👉 Gradient Visualization, Convex Optimization, etc. with the implementation of it in Machine Learning & Deep Learning.
👉 Application of Multivariate Calculus in ML & DL.
👉 Probability & its applications in ML Algorithms.
👉 Understanding complex PCA algorithm with Math
👉 Understand how the Math concepts extend for real-world ML Problems & algorithms

t.me/machinelearninglovers/542

February 5, 2021 3.8K 2