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AI Course Offerings Waiting List

Introduction to the Mathematics of Data Science

This course is being designed for those who are new to the mathematics of Data Science and have a need to guide software development teams in AI algorithm development.

Linear Algebra for Machine Learning and Data Science

$1250.00

Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence
Apply common vector and matrix algebra operations like dot product, inverse, and determinants
Express certain types of matrix operations as linear transformation, and apply concepts of eigenvalues and eigenvectors to machine learning problems

Calculus for Machine Learning and Data Science

$1250.00

Analytically optimize different types of functions commonly used in machine learning using properties of derivatives and gradients
Approximately optimize different types of functions commonly used in machine learning
Visually interpret differentiation of different types of functions commonly used in machine learning
Perform gradient descent in neural networks with different activation and cost functions

Probability and Statistics for Machine Learning and Data Science

$1250.00

Describe and quantify the uncertainty inherent in predictions made by machine learning models
Visually and intuitively understand the properties of commonly used probability distributions in machine learning and data science
Apply common statistical methods like maximum likelihood estimation (MLE) and maximum a priori estimation (MAP) to machine learning problems
Assess the performance of machine learning models using interval estimates and margin of errors

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Linear Algebra for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

Linear Algebra for Machine Learning & Data Science

This course is designed as an introductory course on Linear Algebra. Participants will learn how to leverage concepts such as eigenvalues, eigenvectors, to advance their understanding of Machine Learning, AI and Data Science.

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Calculus for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

Linear Algebra for Machine Learning & Data Science

This course is designed as an introductory course on Calculus. Participants will learn how to leverage concepts such as optimization, differentiation and integration to advance their understanding of Machine Learning, AI and Data Science.

Pay Now

Probability and Statistics for Machine Learning & Data Science

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AI Course Offerings Waiting List

Introduction to the Mathematics of Data Science

Linear Algebra for Machine Learning and Data Science

Calculus for Machine Learning and Data Science

Probability and Statistics for Machine Learning and Data Science

Events

Linear Algebra for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

Linear Algebra for Machine Learning & Data Science

Calculus for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

Linear Algebra for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

Probability and Statistics for Machine Learning & Data Science

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