Flowers

DataHour: Key steps for Designing Deep Neural Network and its scope in Industry

Online 02-09-2022 07:00 PM to 02-09-2022 08:00 PM
  • 9840

    Registered

  • Knowledge and Learning

    Prizes

DataHour Recording

About the DataHour:

In this DataHour, Arpit is going to cover following topics:

  •         What is Deep Learning? Why Deep Learning?
  •         Various Applications of Deep Learning in our day to day life.
  •         Why choose Deep Learning over Machine Learning?
  •         Key components for Designing Deep Learning Architecture?
  •         Tools used for Deep Learning?
  •         Uses Cases in Deep Learning
  •         Job Opportunity

Prerequisites:  Enthusiasm for learning and basic understanding of ML


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth

 

Speaker:

Arpit Yadav

Senior Data Scientist at INSOFE

Currently, Arpit is working as Senior Data Scientist INSOFE. He is also working as Researcher in AIML. He is an International Speaker in DS/ML/DL/AI. He is working as a Freelancer Corporate Trainer in Python, Data Science, Machine Learning, Deep Learning, and Artificial Intelligence. 

He is currently pursuing Ph. D in Machine Learning from SVVV Indore. Arpit has done PGP in Artificial Intelligence and Machine Learning from Texas Austin USA. He has done M.Tech in VLSI Design and B. E in Electronics & Telecommunication Engineering. He is having 11+ Years of Experience in VLSI Research, Machine Learning, Data Science and Artificial Intelligence. 

You can follow him on Linkedin.

ALT

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest

Closed

Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.