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What Do Machine Learning Products Need by Uber Product Manager

Product School

Tuesday, February 19, 2019 from 3:00 PM to 4:00 PM (PST)

What Do Machine Learning Products Need by Uber Product ...

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Watch it Online
Only registered attendees will be sent access to the Livestream via email
Feb 19, 2019 Free  

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Event Details

*** DISCLAIMER: This event is ONLINE ***

Devdatta will be talking about Machine Learning (ML) and how it has gone from research and engineering to consumer products. He'll be talking about the role of a Product Manager in building ML-powered consumer products. Devdatta will share his experience and explain how there is no playbook for a Machine Learning Product Manager.

Main takeaways:
-What do machine learning products need?
-What role does a Product Manager play amongst smart engineers & researchers?
-How do you prepare for a product role on machine learning heavy products?

Meet the Speaker: Devdatta Gangal

Devdatta is a computer scientist turned product leader with diverse experience from Yahoo Mail & Messenger. He's generated hundreds of millions of dollars for Zynga, leading mobile apps and platform for Groupon, and currently leads the charge of scaling sensor inferences at Uber. Their mission is to understand the real time physical state of the world Uber operates in. His team uses signal processing, machine learning, computer vision on raw location and sensor streams from millions of cars in the world. They then help partner teams understand driving safety, detect fraud, improve pick-ups & deliveries, and build better mapping services.

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When

Tuesday, February 19, 2019 from 3:00 PM to 4:00 PM (PST)


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Organizer

Product School

Founded in 2014, Product School is the world’s first technology business school.

We provide certified courses in Product Management, Data Analytics, Coding, Digital Marketing and Blockchain to professionals across 15 campuses worldwide. In addition to on-site campuses, we also offer the same courses, live online. Both on-site and online courses are taught by real-world product managers who work at top technology companies such as Google, Facebook, PayPal, Airbnb, LinkedIn and Netflix.

Unlike traditional MBA programs designed for students seeking roles within the finance and consulting fields, Product School’s curriculum is highly relevant for the next generation of technology leaders, with classes offered at a fraction of the cost. The curriculum is designed to fit into work schedules with small classes held in the evenings or on weekends to ensure that both instructors and students can maintain their full-time jobs.

Expect a healthy mix of hands-on projects, group exercises, case studies, panel discussions and a variety of other forums to teach you how to lead cross-functional teams and build digital products from end to end. We also prepare students for product management interviews and enable them to expand their professional network through access to a private community of thousands of people; including alumni, mentors and hiring managers from top technology companies.

Product School also offers custom corporate training programs for Fortune 500 companies seeking to advance the product management skill sets of their existing teams or onboard new talent.

Committed to building the largest product management community, Product School has published the Amazon’s best-selling book The Product Book, runs The Product Awards ceremony and ProductCon, a multi-city product management conference.

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