Presentation: Visual Intro to Machine Learning and Deep Learning

Track: Machine Learning: The Latest Innovations

Location: Whittle, 3rd flr.

Duration: 11:50am - 12:40pm

Day of week: Tuesday

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Abstract

Break into machine learning with this gentle and intuitive journey through central concepts in machine learning -- from the most basic models up to the latest cutting edge deep learning models. This highly visual presentation will give you the mental map of ML prediction models and how to apply them to real-world problems with plenty of examples from existing businesses and products.

Machine learning is rapidly advancing and, in its path, transforming industries and careers.  It enables software to solve certain problems that have vexed other approaches. Yet, even for software engineers, getting started with machine learning can be confusing and overwhelming. But trust me, you've got this. The central concepts are much easier than they might appear at first.  Whether you want to take the first steps into the field or accelerate your understanding of practical models and their applications, this talk is for you.

Speaker: Jay Alammar

VC and Machine Learning Explainer @STVcapital

Through his blog and lessons on Udacity, Jay has helped tens of thousands of people wrap their heads around complex machine learning topics. Jay harnesses a visual, highly-intuitive presentation style to communicate concepts ranging from the most basic intros to data analysis, interactive intros to neural networks, to dissections of state-of-the-art models in Natural Language Processing. Jay is a Partner at STV, a $500m tech venture capital fund.

Find Jay Alammar at

Tracks

Monday, 2 March

Tuesday, 3 March

Wednesday, 4 March

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