What you'll learn
Identify potential areas of applications of AI
Basic ideas and techniques in the design of intelligent computer systems
Statistical and decision-theoretic modeling paradigm
How to build agents that exhibit reasoning and learning
Apply regression, classification, clustering, retrieval, recommender systems, and deep learning.

Requirements
The topics included in this topic will be related to probability theorem and linear algebra. So a basic knowledge of statistics and mathematics is an added advantage to take up this Machine learning course

Description
Artificial Intelligence has been used in wide range of fields these days. For example medical diagnosis, robots, remote sensing, etc. Artificial intelligence is around us in many ways but we don’t realize it. For example, the ATM which we are using is an artificial intelligence machine learning training. Few of the advantages of using artificial intelligence is listed belowGreater precision and accuracy can be achieved through AIThese machines do not get affected by the planetary environment or atmosphereRobots can be programmed to do the works which are difficult for the human beings to completeAI will open up doors to new technological breakthroughsAs they are machines they don’t stop for sleep or food or rest. They just need some source of energy to workFraud detection becomes easier with artificial intelligenceUsing AI the time-consuming tasks can be done more efficientlyDangerous tasks can be done using AI machines as it affects only the machines and not the human beingsArtificial Intelligence has become the centrepiece of strategic decision making for organizations. It is disrupting the way industries function - from sales and marketing to finance and HR, companies are betting on AI to give them a competitive edge. This course is a thoughtfully created course designed specifically for business people and does not require any programming. Through this course you will learn about the current state of AI, how it's disrupting businesses globally and in diverse fields, how it might impact your current role and what you can do about it. This course also dives into the various building blocks of AI and why it's necessary for you to have a high-level overview of these topics in today's data-driven world.

Who this course is for
The target audience for this course includes students and professionals who are interested in learning robotics and biometrics. This Machine learning training is also meant for people who are very keen on learning Artificial Intelligence.