This course has been designed keeping in mind the latest advancements in Machine Learning. The course
focuses on giving an overview of Machine Learning to Undergraduate students at an intermediary level and
majorly involves Mathematics, Machine Learning, and Deep Learning.
ML112 is free and open to all the students and will start on 22nd August 2022 from 07:00 PM IST. ML112 also includes 'DSE-A' and 'DSE-B of' the third semester of GGSIP University's BCA syllabus. 😊
In this week, you will be getting ready to learn about the applications and scope of Machine Learning with some basic algorithms.
Week second includes learning some advanced algorithms and running over real-world data.
By the end of this week, you will have a good understanding of essential calculus, Linear Algebra, and Deep Learning.
You will be working on the Major project and wrap-up for the course.
IEEE Senior Member, Research Consultant Machine Learning Google Certified in Digital Marketing Dean Research at VIPS-T Research Area(VLSI Design, AI, ML).
Sanjeev Singh is a Graduate Research Assistant at Bredesen Center for Interdisciplinary Research and Graduate Education(UTK) and currently doing his PhD. from University of Tennessee, Knoxville. He completed his master's from Purdue University in Operations Research and his bachelor's from IIT Roorkee in Production and Industrial Engineering.
She's a 2017 graduate from Purdue University, West Lafayette, and was a Research Data Science Assistant at the School of Engineering Education. She also worked with companies like Google and DocuSign as a Data Analyst.
Research Scholar | IIT Roorkee | Spiritual Activist
Jivnesh sandhan is a fourth year Ph.D. at the Department of Electrical Engineering, IIT Kanpur. He completed his dual degree in Mathematics department of IIT Kanpur in 2018.
PROJECT TO WORK ON
Sakshi K. Thakur
Is it free?
Ans. Yes, it is entirely free for all.
Who can register?
Ans. Anyone interested in starting or restarting working on Machine Learning or A.I. can enroll.
What is the length of the program?
Ans. 4 Weeks
Is it beginner friendly?
Ans. Starting from the beginners level, it will take a student to an intermediary level of understanding of Machine Learning.
Is it an offline program?
Ans. Due to the current rise in COVID-19 cases, the program is 100% online.