I offer instruction in the mathematical principles underlying artificial intelligence and data science, from basic concepts to practical uses

Service Description

Are the mathematical underpinnings of Artificial Intelligence (AI) and Data Science proving difficult to grasp? Do you aspire to master the fundamental concepts driving Machine Learning, Deep Learning, and AI models? Your search ends here!

I possess expertise in Mathematics and Python, coupled with experience in instructing and applying mathematical principles within AI and Data Science. This service is structured to enable you to comprehend, utilize, and achieve proficiency in the crucial math abilities necessary for AI and Data Science.

Topics Covered:

Linear Algebra Vectors, Matrices, Eigenvalues, Singular Value Decomposition (SVD)

Probability & Statistics Probability Distributions, Bayes’ Theorem, Hypothesis and Regression

Calculus Derivatives, Integrals, Optimization, Gradient Descent

Discrete Mathematics Graph Theory, Logic, Set Theory, Combinatorics

Optimization Techniques Convex Optimization, Lagrange Multipliers, Loss Functions

Machine Learning Mathematics Cost Functions, Backpropagation, Activation Functions

Fourier & Wavelet Transforms Signal Processing for AI and Data Science

Real-World Applications Practical problem-solving in AI & Data Science

Target Audience:

Individuals in education and working professionals seeking to enhance their mathematical proficiency