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Algorithm 2022

Feb. 10 - 12

Dallas

Speaker

Speaker: Jigyasa Grover

Jigyasa Grover

Jigyasa Grover

Machine Learning Engineer, Twitter

Jigyasa Grover is a Machine Learning Engineer at Twitter, co-author of Sculpting Data for ML and an ML Google Developer Expert. Prior experiences include stints at Facebook, Inc., National Research Council of Canada, and Institute of Research & Development France involving Data Science, mathematical modeling, and software engineering.

 

A Red Hat Women in Open Source Academic Award Winner and a Google Summer of Code alumna, Jigyasa is an ardent open-source contributor. In her quest to help build a powerful community of girls and boys alike, and believing in “we rise by lifting others”, she mentors aspiring developers and Machine Learning enthusiasts in various global programs. She has served as the Director of Women Who Code and Lead of Women Techmakers.

 

She has a Master’s degree in Computer Science with an AI specialization from the University of California, San Diego, and is currently applying her past experiences and knowledge to Applied Machine Learning in the online advertisements prediction and ranking domain.

Talk: Back to Basics: Approaches to Machine Learning

In the contemporary world of learning algorithms, along with the aggregate domains plying machine learning, the complexity of the models has been inching up. Thus it is important to approach machine learning in a conceptual way. In this talk,

 

I’ll present an informal taxonomy of machine learning algorithms, grouped on the basis of the different mathematical abstractions.

I will cover logical models, with tree based or rule based concepts, geometric models, including linear and distance based approaches, and probabilistic models. I will go over the fundamentals of each type of model and discuss their pros and cons and use cases along with a very simple hands-on example.

 

The talk will conclude with some pointers on how to explore the data and choose a model to make the learning more efficient.

My book

Sculpting Data for ML is the title of a new book I co-authored with Rishabh Misra, my colleague at Twitter. Want to learn how to create your very own quality datasets using Python and other open source tools? This is the book to have. It’s available at Amazon.

Sculpting Data for ML

Workshop

Sculpting Data for Machine Learning is the title of a workshop I’ll conduct with my colleague Rishabh Misra on Feb. 10 during Algorithm 2022. Click the button for workshop info.

Oleksandr Bornyakov

Oleksandr Bornyakov

Deputy Minister, Ministry of Digital Transformation, Ukraine

Robert Marks

Prof Robert Marks

Director, Walter Bradley Center for Natural & AI

Omar Syed

Omar Syed

Blockchain/DLT Architect, Shardus

Michael Kanaan

Captain Michael Kanaan

Director of Operations, US Air Force

Kristina Lucrezia Cornèr

Kristina Lucrezia Cornèr

Editor-in-Chief, Cointelegraph

Stephen Thaler

Stephen Thaler, PhD

President/CEO, Imagination Engines, Inc.

Prof Ryan Abbott

Prof Ryan Abbott

Professor of Law and Health Sciences, Univ. of Surrey

Anastasia Marchenkova

Anastasia Marchenkova

Quantum Researcher, Bleximo

Igor Jablokov

Igor Jablokov

CEO, Pryon, Inc.

Shreyansh Daftry

Shreyansh Daftry

Research Scientist, NASA Jet Propulsion Laboratory

Fabio Zinno

Fabio Zinno

Research Lead, Electronic Arts Canada

Kobi Eisenkraft

Kobi Eisenkraft

Malware Analyst, Check Point

Travis Cannell

Travis Cannell

Head of Product, Orchid

Rishabh Misra

Rishabh Misra

Machine Learning Engineer, Twitter

Karl Weinmeister

Karl Weinmeister

Cloud AI Advocacy Manager, Google

Joel Lehman

Joel Lehman, PhD

Scientist, OpenAI

Paul McLachlan

Paul McLachlan, PhD

AI Research Lead, Ericsson Research

Ramin Keene

Ramin Keene

Founder, Fuzzbox.io

Jigyasa Grover

Jigyasa Grover

Machine Learning Engineer, Twitter

Tiffany Xingyu Wang

Tiffany Xingyu Wang

VP/Chief Strategy Officer, Spectrum Labs

Register

Registration for workshop and for the conference itself is now open. The workshop has a limited number of tickets, so hurry and register if you want to guarantee yourself a spot. To reserve your ticket(s), click on that big red button.

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