5 machine learning essentials non-technical leaders need to understand – TechCrunch

We're living in a phenomenal moment for machine learning (ML), what Sonali Sambhus, head of developer and ML platform at Square, describes as "the democratization of ML." It's become the foundation of business and growth acceleration because of the incredible pace of change and development in this space. But for engineering and team leaders without an ML background, this can also feel overwhelming and intimidating. I regularly meet smart, successful, highly competent and normally very confident leaders who struggle to navigate a constructive or effective conversation on ML -- even though some of them lead teams that engineer it. I've spent more than two decades in the ML space, including work at Apple to build the world's largest online app and music store. As the senior director of engineering, anti-evil, at Reddit, I used ML to understand and combat the dark side of the web.