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With Angela Hu (Product Mgr, Spotify).
Wednesday, July 06, 2022 at 07:00 AM   Absolutely Free   Online
 
     
 
 
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EVENT DETAILS
Disclaimer: Click Register' to get notified when the webinar is live or to watch the replay

This will be an informal chat about what it's like to use Machine Learning for a company. It'll cover the different ways they can be implemented within an organization & we'll also touch on some of the misconceptions that come with using Machine Learning.

Main takeaways:
- What problems are best solved with ML & what problems are NOT
- What you need to understand & how technical you need to get as a PM of an ML product

Come join us on Launch! (https://prdct.school/3PPtdfk) ,Product School's exclusive community for Product People to learn, exchange ideas & build better together.

Meet the Speaker: Angela Hu

Angela has spent the last year & a half working on data & machine learning for Spotify in her role as Product Manager. Before moving to New York for this role, she worked for Bell in Toronto.

View Speaker's Full Profile (https://prdct.school/3NPZeBQ)

The content of this event is for educational purposes only & does not include any specific facts of the presenter's current or previous company. The opinions expressed in this event are solely those of the presenter based on personal experiences & do not reflect those of the company the presenter works for.

Get the FREE Product Book (https://prdct.school/2N303Og) & check out our curated list of free Product Management resources here (https://prdct.school/3rEXjWt)

Product School (https://prdct.school/30it1ew) is the global leader in Product Management training with a community of over one million product professionals. Our certifications are the most industry-recognized credentials by employers hiring product managers. All of our instructors are senior-level Product Managers working at top Silicon Valley companies including Google, Facebook, Netflix, Airbnb, PayPal, Uber, & Amazon.

Disclaimer: by registering for this event I agree to receive email communications from Product School & all sponsor brands.
 
 
 
 
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