The future of Machine Learning looks promising as the skilled talent pool for Machine Learning engineers is not yet enough to meet the growing demand for trained professionals. A report from the leading online job portal ‘Indeed’ says, since the beginning of the year 2018, employer demand for AI & ML skills has been consistent twice the supply of such skilled professionals.
Moreover, research from MarketsandMarkets depicts, by 2022, the growth in machine learning market size will be USD 8.81 Billion.
Expected benefit from the training / what the participants will learn:
Understand how various Machine Learning Algorithm works
How to translate into real life problems
Understanding of different types of Machine Learning Algorithms
Add values to domain specific industries
Skills to be achieved after the Training:
Supervised and Unsupervised
Target Audience / who should attend:
Recent graduates from C.S./Mathematics/Statistics/Engineering Science
Working professionals and Developers those who want to upgrade their skill set.
Prerequisite to attend the Training: Basics of calculus, Linear Algebra, Statistics and Python programming knowledge, Prerequisites of Data Structures
Training hours: 32 hours
Days per week: 2 days; 4 hours/week
Preferred Days in Week for the Training: Friday and Saturday
Preferred Time of the Training: 10:00 P.M. – 12:00 P.M. E.S.T
Course Start: April 02, 2021
Sharfuddin Alam, currently working as a Data Scientist at Department of Veteran Affairs (Federal Government).Previously worked as a Data Science Consultant at Duke Energy & he is a Data Scientist at Data kind.
Bachelors in Electrical and Computer Systems Engineering
MSc. In Computer Science
Data Science Certification
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