Lambda School has attracted a lot of attention, and raised some $130 million in venture funding from an impressive list of investors, for its novel approach to coding education: offering six-month virtual computer science courses for $30,000, with the option of paying for the courses in installments based on a sliding scale that only kicks in…
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Tim Heger Contributor Tim Heger is the CTO/CISO of HealthBridge and an experienced IT veteran, having guided companies like Harley-Davidson, Kohl’s and ASICS on digital and e-commerce transformations. Many emerging and mature organizations survive or die based on their ability to scale. Scale quicker. Scale cheaper. Scale right. Typically the IT team bears that burden…
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Peter Wang Contributor Peter Wang is CEO and co-founder of data science platform Anaconda. He’s also a co-creator of the PyData community and conferences, and a member of the board at the Center for Humane Technology. By 2025, 463 exabytes of data will be created each day, according to some estimates. (For perspective, one exabyte…
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Tecton, the company that pioneered the notion of the machine learning feature store, has teamed up with the founder of the open source feature store project called Feast. Today the company announced the release of version 0.10 of the open source tool. The feature store is a concept that the Tecton founders came up with…
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TX Zhuo Contributor TX Zhuo is the managing partner of Fika Ventures, focusing on fintech, enterprise software and marketplace opportunities. More posts by this contributor Strike first, strike hard, no mercy: How emerging managers can win A COVID-19 resilience test for B2B companies Colton Pace Contributor Colton Pace is an investor at Fika Ventures. He…
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Before a startup can achieve product-market fit, founders must first listen to their customers, build what they require and fashion a business plan that makes the whole enterprise worthwhile. The numbers will tell the true story, but when it happens, you’ll feel it in your bones because sales will be good, customers will happy and…
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One of the issues with deploying a machine learning application is that it tends to be expensive and highly compute intensive. Deeplite, a startup based in Montreal, wants to change that by providing a way to reduce the overall size of the model, allowing it to run on hardware with far fewer resources. Today, the…
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