One of the things I love most about data science is stumbling upon some of the coolest and most powerful tools which instantly enable me to do cool and powerful things. I recently created a Spotify developer account, learned how to scrape lyrics, learned about sentiment analysis, word clouds, and other NLP concepts, and taught myself how to use an awesome interactive data visualization software called Tableau. And, most importantly of all, I have a long list of further projects I want to tackle next. I would be remiss not to give credit to the two Medium articles that helped me stumble in a productive, ever forward-moving direction. The first one is called "Extracting Spotify data on your favourite artist via Python" by Rare Loot.

If you're like me, you have a love-hate relationship with your CRM… You know you need one, but updating it ranks right there next to "schedule exploratory root canal" on your list of things to do. This week, I have a solution. He's created a new and very unique CRM, driven by AI, so you don't have to do so much work…and your CRM stays current. Plus he shares his best insights (from studying thousands of business owners' and sales teams' habits) on what the most successful salespeople do to win business. He took his inspiration for this from the movie Her.

Pizza lunch will be provided at 12:15pm, with the talk following at 12:30pm. All students, alumni, staff and faculty are welcome to register for this free event using the registration link below. "Communication has been weaponized, used to provoke, mislead and influence the public in numerous insidious ways. Disinformation was just the first stage of an evolving trend of using information to subvert democracy, confuse rival states, define the narrative and control public opinion. Using large, unregulated, open environments that tech companies once promised would "empower" ordinary people, disinformation has spread rapidly across the globe.

But AI -- and more specifically, machine learning, which features statistical methods that allow a system to learn from data -- is changing this.

Recent years have turned the phrase'artificial intelligence' into something of a buzzword, but it's hard to deny the impact machine learning is currently …

While building a machine learning model, there is always the problem of underfitting and overfitting.

Their achievement, which will be presented during the "Deep Learning on Supercomputers" workshop at SC19, demonstrates the promise of …

Newswire) VSBLTY Groupe Technologies Corp. (CSE: VSBY) (5VS.F) (VSBGF) ("VSBLTY"), a leading retail software technology company, and Energetika, an international provider of "intelligent lighting" solutions, have begun deployment of their smart city security contract which combines Energetika's smart lighting with VSBLTY's crowd analytics and facial recognition to help keep Mexico City's neighborhoods safe. Energetika CEO Rodrigo Calderon said, "We have begun phase one deployment of security kits covering up to 40,000 endpoints throughout 56 communities in Mexico City beginning in the boroughs of Miguel Hidalgo, Cuajimalpa, Benito Juarez and Cuauhtemoc. Each neighborhood security kit consists of high definition cameras equipped with VSBLTY facial recognition and analytics, wireless alarms, motion sensors and panic buttons integrated with high LED facade light fixtures. This low cost system runs off local citizens' internet service and is accessible on their mobile devices in real time. With this unique security kit deployment model perfected, we have introduced this program to other Central and South American municipalities whose needs are equally compelling and where this cost-efficient solution can be installed in three million security cameras or more."

Editor's Note: This is the first in a four-part series examining the growing role of machine learning and artificial intelligence in the power sector.