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Who is Eric Ries: Background, Books, Webinars, and More

Userpilot

Eric Ries is a name synonymous with innovation and startup success. After studying at Yale University, Eric began his career as a Senior Software Engineer at There.com. This book offers practical insights, stories, and tools for organizations navigating modern business challenges.

Webinar 105
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Data Products: Tell Me How And What

The Product Coalition

In the first part of this series I covered the why behind data products. In the previous article I gave examples of some of the data products you interact with everyday. The key thing to remember is that a data product is “ …facilitating an end goal using data ” (DJ Patil).

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Continuous Improvement: How It’s Important for Software Developers

The Product Coalition

Continuous improvement is a continual process to improve components of enterprise software?—?processes, processes, tools, products, and services. Regardless of today’s software development aspect, increasing demand for new features in the products makes competitive advantage higher than ever.

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Guide to the Software Engineer Career Path

PMLesson's Ace the PM Interview

Trying to better understand the software engineer career path? Want to know what your next steps are as an engineer as you make your way to CTO? An engineering career can go in many different directions depending on your technical skill set and what you want out of a job. We've got your covered.

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Ultimate Guide: Getting an Entry Level Software Engineering Roles

PMLesson's Ace the PM Interview

Intro Software engineering can be an incredibly rewarding career. But without the right preparation, it can be difficult to get the software engineering job you have in mind. I learned this, as I was taking computer science courses in college to land a software engineering (SWE) role.

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Common technical hiccups in your product analytics that are easy to spot

Mixpanel

You can spend all the time in the world devising a thoughtful, nuanced analytics strategy for your product analytics, but if your event tracking isn’t set up behind the scenes just how you need it, some (or all) of your data might be rendered far less helpful than you’d like. As they say—garbage in, garbage out.

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The new dawn of Machine Learning

Intercom, Inc.

Here are some of our favorite takeaways from the conversation: Neural networks have made significant headway in the past five years, and they’re now the best way to deal with unstructured data such as text, images, or sound at scale. And you don’t need as much hand engineering of features. And they are just scaling that up.