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Pattern ML

Neil Batlivala

Pattern ML

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Pattern ML

Neil Batlivala

Pattern ML

Episodes
Pattern ML

Neil Batlivala

Pattern ML

Good podcast? Give it some love!
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Episodes of Pattern ML

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In this episode, we dive into the challenges and solutions in applying AI to a field as meaningful and subtle as your own career. Stellares is an AI Talent Agency that uses machine learning to help top tech talent navigate their careers.
Learn about Volley’s work building a personal learning assistant. We’ll discuss uses of machine learning in the education space, as well as some of the challenges Volley and other ed-tech startups face.
UnifyID authenticates users using implicit signals like typing speed and gait. In this episode, we learn more about this innovative use of machine learning, and explore UnifyID’s unique recruiting strategy.
Pedro compares the state of ML now to the beginning of the aviation industry; early pilots needed to know everything from the physics of flight to the engineering behind the plan and nowadays, a pilot interfaces with the entire plane through a
NanoNets isa Machine Learning as a Service platform for developers to rapidly create/deploy models. Learn about how they do it with transfer learning, a technique that uses learnings from coarse models to bolster others. They have a product aim
Sales is a game of managing customer leads, pipelines, and followups. People.AI is automating the sales manager to help you close more deals backed by some unexpected yet highly reliable data sources. In this interview with founder Oleg Rogynsk
Learn how Adam and the team at LiftIgniter are bringing innovations from Google to the rest of the business world. Google, whose main revenue come from ads, has developed arguably the world’s most sophisticated machine learning for ad targetin
Preteckt is an ingenious cross between a IoT and ML company. The company uses its own hardware sensors to determine when a customer's 16 wheeler is going to break down.
Kylie.ai is a service that automates customer service tickets. This is a longer than average episode as Sinan’s interview was too good to be cut down any shorter. We dive in on building models per rep, and how Sinan was able to train a model us
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