Explore the Machine Learning Code

Summary
Machine learning is a study that enables computers to act and make data-driven decisions that are generally based on predictions. It has evolved from the study of pattern recognition and computational learning theory, resulting from artificial intelligence, and makes use of its study to construct algorithms for any further prediction. Machine learning is also the future of technology, being a kind of artificial intelligence, it lets software applications become more accurate by predicting outcomes without being explicitly programmed at the same time.

This webinar makes you walk through the clear understanding of machine learning, codes used in machine learning and the programming languages used to write these codes. You will also get familiar with various aspects of machine learning that can be helpful in gaining skills contributing to your career during this session.

Register Here: https://goo.gl/fpbYpr
Date & Time: April 10, 1 to 2 PM EST(45 Mins + 15 Mins Q&A)

Agenda
» Introduction to Machine Learning
» Understanding the difference between analytics, machine learning, and artificial intelligence (AI)
» Working with machine learning codes
» Scope of machine learning and career opportunities
» Q&A session with the speaker

Speaker Bio:
T.S. is an IT executive, educator, author, international speaker, security expert, agile coach, coder, and entrepreneur with over 19 years of combined professional experience both in the U.S. and internationally.

He has conducted trainings as well as facilitated training workshops in Malaysia, Singapore and various other Asia Pacific Countries, focusing in areas of Project Management, consulting, leadership and management, security, teamwork and other soft skills in addition to Big data, Data science and Machine Learning. He has lead project on over 50 projects at clients that included Fortune 500 and Global 1000 companies.

NetCom Learning helps build innovative learning organizations in the workplace by structuring a smarter workforce, supporting learning changes, and driving learning growth. Since 1998 we have been empowering organizations to reach optimal performance results and address challenges by managing all aspects of organizational learning.

519 8th Avenue, 2nd Floor New York, NY 10018 United States

This release was published on openPR.