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Introduction to AI and DS


SamatriX
Enrollment in this course is by invitation only

About This Course

The course focuses on building a strong foundation of Data Science, Machine Learning and Artificil Intelligence

Artificial Intelligence: What is AI, cognitive modelling approach, law of thoughts, the relational agent approach, the underlying assumptions about intelligence, techniques required to solve AI problems, level of details required to model human intelligence, successfully building an intelligent problem, history of AI

Machine Learning:What is Machine Learning, Leveraging Machine Learning, Descriptive vs Predictive Analytics, Machine Learning and Statistics, Artificial Intelligence and Machine Learning, Types of Machine Learning, Types of Machine Learning Algorithms, Neural Network and Deep Learning, Training machine learning systems

Data Science: Defining Data Science and Big Data, Structured Data, Unstructured Data, Graph based or Network Data, Big data ecosystem and data science, Distributed file systems, Distributed programming framework, data integration framework, machine learning framework, No SQL Databases

Requirements

An intention to learn and basic computer knowledge.

Course Staff

Course Staff Image #1

Staff Member #1 : Vishal Jain

A seasoned professional with handons expertise in designing, developing and managing the enterprise systems.

Course Staff Image #2

Staff Member #1 : Mallika Gandhi

Mallika has a rich experience working on Data Analytics, Data Science, and Machine Learning Projects.

Frequently Asked Questions

What web browser should I use?

The platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer, or Safari.

See our list of supported browsers for the most up-to-date information.