This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. By the end of the course, you will be able to clearly define a machine learning problem using two approaches. You will learn to survey available data resources and identify potential ML applications. You will learn to take a business need and turn it into a machine learning application. You will prepare data for effective machine learning applications.
The laboratory activities aim towards:
Identify innovative research directions in Artificial Intelligence, Machine Learning and Big Data analytics.
Integrating and reasoning with information from disparate data sources.
Designing and implementing distributed systems for information exploitation, collaboration and decision making.
Data-intensive agent-based tools Providing quality education and practical skills to the students and faculty.
Assist in the development of partnerships with Industry regarding Internships, Summer Jobs, Publications and students’ Placements.
Establish, refine and implement strategies to take the idea in to students and faculty fraternity.
Create sustainable funding models for societal and ACE related efforts.
Encouraging students to publish research articles, patents and starting their start-ups in the campus.
Artificial Intelligence & Machine Learning Labs:
Artificial Intelligence Lab.
Deep learning Lab.
Data structures and Algorithms Lab.
Advanced Machine Learning Lab.
Major Components Of Ai & Ml Are:
Application Program Interfaces (APIs)
FEW OF THE AI & ML APPLICATIONS (DIRECT AND INDIRECT,PARTIAL LIST) ARE:
Natural Language Generation
Robotic Process Automation
Finance and Economics
Computer Networks etc
Few of the major companies which are needs AI & ML Engineers are :
IBM, Amazon, Cognizant, Pivotchain Solutions, Airtel, Google, Dell, Tata Health, Honeywell International Inc., Siemens, Xilinx, Uber, Unisys, Tata AIG, Toyota, PTC Software, Acculogix, HCL, Tempus, DataRobot, CloudMinds, Nauto, OpenAI, Sift Science, SoundHound, Vicarious, VideoTap, Zoox etc.
Some of the major job profiles related to AI & ML are:
Innovations Engineers, Machine Learning Engineers, Applied AI Engineers, Data Engineers, Text Programmer, Data Science Engineer, Data Scientist, AI ML Engineer, Head (Analytics) e-Commerce, Senior Developer Machine Learning, Data Modeler, Machine Learning Expert, and Artificial Intelligence Expert etc.