DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions

DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions

08 Feb 202413:02pm - 08 Feb 202414:02pm

DataHour: Relationship of ML and Statistics - Optimizing Algorithmic Functions

About the Event

The session will cover the foundational concepts of ML and statistics, highlighting their unique roles and intersections, a comprehensive understanding of loss functions, the backbone of machine learning algorithms, exploring various types such as Mean Squared Error, Cross-Entropy, and Hinge Loss. The speaker will also focus on the critical process of optimization in machine learning, covering essential techniques like Gradient Descent, Stochastic Gradient Descent, and more advanced strategies tailored to specific algorithms.

Further topics will include the bias-variance tradeoff, the significance of confidence intervals and hypothesis testing in model assessment, and the implications of distribution assumptions on optimization efficacy. The session will also address common challenges faced during optimization, such as convergence issues and the complexities of hyperparameter tuning.

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Who is this DataHour for?

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About the Speaker

Sameer Ranjan

Sameer Ranjan

CTO and Director (Data Science) at Catenate

Sameer is a product innovator, thought leader, advisor, speaker, and entrepreneur. He has created several data and AI-led products for various industries. He is currently serving as Chief Technology Officer at Catenate Corp (Creator of MayaMaya and MiraMira). He holds a master's degree in Data Science from UT Dallas. Recipient of AI Leader of the Year, Best AI Influencer, etc for his work in the field of Artificial Intelligence and Data Science.He has patents on AI algorithms, is an avid speaker on multiple platforms, and has been featured as a guest technical expert writer in many technical and business magazines. He has started his micro-VC funds to help startups grow and explore new horizons, currently the lead investor in a few tech product firms. He is also associated with many tech startups and product firms as their technical advisor.

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