District Data Labs @DistrictDataLab
Data science & analytics consulting and corporate training. #DataScience #Analytics #BigData #MachineLearning districtdatalabs.com Miami, FL Joined November 2013-
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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. bit.ly/3fIEUmO #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. bit.ly/3hpB6sP #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. bit.ly/2Ry6B9e #machinelearning #businessanalytics #marketing
@Forbes posted a great article about AI learning to categorize and talk about art! Give it a read and let us know what you think! bit.ly/3t5nZ3m #districtdatalabs #ArtificialIntelligence #ai
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.
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: bit.ly/3rzdLGJ. 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 bit.ly/3lVczw3
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 bit.ly/38HoQih
I'm teaching a 3-day Intro to #datascience with #python workshop at @FAESorg Mar 17-19 with @DistrictDataLab. Register here: faes.org/events/BIOF085… This is open to all.
@DistrictDataLab You're featured on BetaList! 🙌 betalist.com/startups/news-…
“Data Science News Flash: 10–03–2019” by @DistrictDataLab link.medium.com/GaRQotDSv0
“Data Science News Flash: 08–29–2019” by @DistrictDataLab link.medium.com/zT9WUOsYzZ
“DATA SCIENCE NEWS FLASH: 08–22–2019” by @DistrictDataLab link.medium.com/fRuwocdprZ
The big challenge at the heart of #dataScience is how not to wind up *less* informed as a result of looking at #data. bit.ly/quaesita_sydd
Models for integrating #datascience teams within organizations bit.ly/2YIMt6t #MachineLearning #BigData #Analytics #ArtificialIntelligence #Tech #NewsFlash
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