Foundation of Data Science

Overview

Title:

Foundation of Data Science

Description:

Immerse yourself in the world of Data Science with Dartmouth College's comprehensive course offered through Swayam. This course meticulously prepares participants to master the foundational concepts critical to the realm of Artificial Intelligence (AI) and Machine Learning (ML).

By the culmination of your study, you will be proficient in elucidating the pivotal roles played by probability theory, optimization, and linear algebra within AI. Participants will learn to define and apply crucial probability distributions, such as binomial and normal distributions, in the development of ML models.

The course also delves into the practicalities of conducting hypothesis tests, including Z test and t-test, showcasing their significance in ML model development. Further, it expounds on the intricacies of optimization and linear algebra, demonstrating their indispensable applications in enhancing the functionality of ML and AI systems.

Remarkably, this course offers hands-on experience in applying hypothesis testing, optimization, and linear algebra through Excel, ensuring a practical learning approach. Enroll today to navigate the fascinating landscape of AI and ML with foundational knowledge and skills.

Categories:

Artificial Intelligence Courses, Data Science Courses, Linear Algebra Courses.

University:

Dartmouth College

Provider:

Swayam

Taught by

Dinesh Kumar

Subjects

india