Our #datascience training courses equip your employees with the latest analytical and technical skills they need to succeed! https://t.co/xeIEDGtrPn

Instead of trying to get AI to replace humans, let's look for ways to have them collaborate to produce better outcomes than either could on their own. https://t.co/kKukbOoyos #datascience #artificialintelligence #ai #machinelearning

Well, everyone, it's our #birthday! We are 5 years and going strong. Thank you all to our #users, #contribs, #followers, and #believers. We couldn't have done it without you. We are committed to #opensource and to improving your #ML workflow visually!

Probabilities provide us with an easy way to quantify and communicate how certain or uncertain we are about things. Here's how we can use them to improve our decision-making. https://t.co/pzVkoElX9X #datascience #analytics #businessanalytics #business #decisions #decisionmaking

Recommender systems are one of the most valuable applications of #datascience to #business. They allow you to personalize the customer experience at scale, which increases engagement, sales, and profits. https://t.co/RLVGd4OVUK #machinelearning #businessanalytics #marketing

Unlike supervised and unsupervised learning, reinforcement learning starts with no data to analyze. The goal of reinforcement learning is to learn from scratch the best way to do something. #DataScience #machinelearning #AI

Unsupervised learning is most useful to businesses that have data for a lot of something (customers, products, employees, etc.), but that data is not organized well.

Supervised learning can help a business that needs to more accurately forecast things like sales, inventory levels, customer churn, engagement, and individual customer purchases. “Supervised” refers to the fact that there is a target field containing the correct answers.

There are three primary types of machine learning:  * Supervised learning * Unsupervised learning * Reinforcement learning The three primary types of machine learning can all be useful to businesses differently.

As Natural Language Generation (NLG) systems become more advanced, battling bias becomes harder. Check out this great article about NLG systems now: https://t.co/bLyTypWaLU. Let us know what you think about this technology! #districtdatalabs #DataScience

Do you know when to use BI Vs. Data Science Tools? This article has a great visual to help you understand. #districtdatalabs #datascience https://t.co/b5en6GDYh8

Do you know the different performance metrics and what they can help you identify? Here's a quick guide to understanding performance metrics #districtdatalabs #DataScientists #DataAnalytics

Wondering more about how @Spotify uses data science to grow?! Check out this great article breaking it down below 👇 #districtdatalabs #datascience #SpotifyPlaylist https://t.co/S5pCwcsBSh

I'm teaching a 3-day Intro to #datascience with #python workshop at @FAESorg Mar 17-19 with @DistrictDataLab. Register here: https://t.co/hPrSHwWtoj This is open to all.

@DistrictDataLab You're featured on BetaList! 🙌 https://t.co/cFU4dgA4Xl

“Data Science News Flash: 10–03–2019” by @DistrictDataLab

“Data Science News Flash: 08–29–2019” by @DistrictDataLab

“DATA SCIENCE NEWS FLASH: 08–22–2019” by @DistrictDataLab

The big challenge at the heart of #DataScience is how not to wind up *less* informed as a result of looking at #data. https://t.co/Ue332SMjy1

Models for integrating #datascience teams within organizations https://t.co/6SidW8C4R6 #MachineLearning #BigData #Analytics #ArtificialIntelligence #Tech #NewsFlash

AI Job Roles: How to Become a #DataScientist, #AI Developer, or #MachineLearning Engineer https://t.co/ChxYx8oxIq #DataScience #Analytics #ArtificialIntelligence #NewsFlash