District Data Labs

Data science & analytics consulting and corporate training. #DataScience #Analytics #BigData #MachineLearning

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

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

[scikit-yb @scikit_yb]

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!

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

@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!
https://t.co/3Ov2Tp5xc2
#districtdatalabs #ArtificialIntelligence #ai

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

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.

[District Data Labs @DistrictDataLab]

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.

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

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

[District Data Labs @DistrictDataLab]

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

[Abhijit Dasgupta (he/his/him) @webbedfeet]

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.

[BetaList @BetaList]

@DistrictDataLab You're featured on BetaList! 🙌

https://t.co/cFU4dgA4Xl

[Dr Alan Beckles @Ritmonegro]

“Data Science News Flash: 10–03–2019” by @DistrictDataLab https://t.co/cwddxCqtu3

[Dr Alan Beckles @Ritmonegro]

“Data Science News Flash: 08–29–2019” by @DistrictDataLab https://t.co/clqCvobw9X

[Dr Alan Beckles @Ritmonegro]

“DATA SCIENCE NEWS FLASH: 08–22–2019” by @DistrictDataLab https://t.co/yNJbbhLP41

[Cassie Kozyrkov @decisionleader]

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

[District Data Labs @DistrictDataLab]

Models for integrating #datascience teams within organizations https://t.co/6SidW8C4R6

#MachineLearning #BigData #Analytics #ArtificialIntelligence #Tech #NewsFlash