Originally published in Harvard Business Review, November 6, 2019. Bias is machine learning’s original sin. It’s embedded in machine learning’s essence: the system learns from data, and thus is prone to picking up the human biases that the data represents. For example, an ML hiring system trained on existing American employment is likely to “learn”
Originally published in The New York Times, August 16, 2019. BHUBANESWAR, India — Namita Pradhan sat at a desk in downtown Bhubaneswar, India, about 40 miles from the Bay of Bengal, staring at a video recorded in...
Originally published in InsideBigData, August 2, 2019. The term Big Data has been around since 2005, but what does it actually mean? Exactly how big is big? We are creating data every second. It’s generated across all...
Originally published in KDNuggets, September 10, 2019 Python is one of the most widely used languages in data science, and an incredibly popular general programming language on its own. Many prospective data scientists are first faced...
Originally published in MIT News, September 18, 2019. Rhythmic flashes from a computer screen illuminate a dark room as sounds fill the air. The snare drum sample comes out crisp and clean by itself, but turns...
Originally published in KDNuggets, September, 2019. The energy sector is under constant development, and more of significant inventions and innovations are yet to come. The energy use has always been involved in other industries like agriculture, manufacturing,...
Originally published in The CPA Journal, June, 2019. Machine learning is a key subset of artificial intelligence (AI), which originated with the idea that machines could be taught to learn in ways similar to how humans...
Originally published in KDNuggets, September, 2019. Recommender systems are an important class of machine learning algorithms that offer “relevant” suggestions to users. Categorized as either collaborative filtering or a content-based system, check out how these approaches...
Originally published by InsideBigData, September 4, 2019. Apache Hadoop emerged on the IT scene in 2006 with the promise to provide organizations with the capability to store an unprecedented volume of data using cheap, commodity hardware. In...
Originally published in KDnuggets, July, 2019 The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business...
