Book Online Tickets for Entrotech 1.0- Deep Dive on Machine Lear, Bengaluru.  Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved unde

Entrotech 1.0- Deep Dive on Machine Learning and Workshp

 

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About The Event

 Machine learning is the science of getting computers to act without being explicitly programmed. In the past decade, machine learning has given us self-driving cars, practical speech recognition, effective web search, and a vastly improved understanding of the human genome. Machine learning is a “killer app” for quantum computing and is an emerging technology making rapid progress in a number of industries and applications.
Benefits of Machine Learning Workshop in Entrotech
Depth knowledge of machine learning based algorithms and implementation to work on any ML projects.
Learn how to perform supervised learning techniques such as linear and logistic regression.
Understand what is data classifications and models.
Development knowledge of robust Machine Learning models.
Learn what, why and how to use top algorithms among many for any Machine Learning problem.
Learn how to create accurate predictions and powerful analysis.
Where and how to use unsupervised learning algorithms as Clustering & Segmentation.

AGENDA

 

1:00PM - 1:10PM- Introduction of Entrotech meet(10 min)
1:10PM - 1:40PM- Key note(Emergence of ML and its scope)(30min) 
1:40PM - 2:10PM - Different platforms and tools available for ML(30 min)                                           

  2:10PM - 2:40PM Brief talk on different Industrial giants working ML projects(like google, fb, Microsoft, etc)(30 min)                                                                                                                                                             3:10PM - 3:20PM- Small talk about the workshop(10 min)
3:20PM - 5:50PM- Hands on experiment on ML(3 hrs)
5:50PM - 6:00PM- Wrap-up, Q&A session and Networking(10 min)

 

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