We provide an updated list of best online Masters in #AI, #Analytics, and #DataScience , including rankings, tuition, and duration of the #education program.
https://t.co/AfcuCPk0xm
The Video Popularity Prediction challenge has come to a close, but the fun doesn't stop! Check out our new #datascience competition with $3,000 in prizes - the Viral Tweets Prediction challenge 🎉
Sign up here: https://t.co/iUDCtiGoWh👈
#AI#machinelearning#algorithms
Calling all #datascience enthusiasts! 📣
Want to connect with fellow #datascientists? Want to connect, learn, share, and grow? Join our Telegram community with 5,000+ members!
Click here to learn more & join: https://t.co/mOD0idQBeq
#community#learn#datascientist#AI
Many statisticians in industry agree that blindly imputing the missing values in your dataset is a dangerous move.
#Statistics#DataScience
https://t.co/vAfNr1HPBX
Learn to design a #game and control it using hand gestures in our next weekend #webinar series! 👋🏻
#CampusAmbassador @aniket_spidey will be speaking on game #development and controls using #OpenCV on Sunday, May 24, 3 PM IST.
Block your calendar at https://t.co/we5UAeAMJ5 📆
I'm so over it with this shit NBN in the regions! Trying to do a group skype call, but the video just drops out because the internet speed is just too slow! Thanks LNP!
#GIS has always been around us in the background being used in government, business, medicine, real estate, transport, manufacturing etc. #DataScience
https://t.co/AQuWwma5Gn
Interested in survival models?
We are starting to get organized on new projects in tidymodels.
Possible plans for survival methods are listed at: https://t.co/Txq5LIhyV0
Please comment or contribute if you have interest. Tell us what you'd like to see!
#rstats
20 AI, Data Science, Machine Learning Terms You Need to Know in 2020 (Part 2) - Double Descent, Ethics in AI, Explainability (Explainable AI), Full Stack Data Science, Geospatial, GPT-2, NLG (Natural Language Generation), PyTorch, Reinforcement Learning
https://t.co/umEZ2wnkcJ
While the validation process cannot directly find what is wrong, the process can show us sometimes that there is a problem with the stability of the model.
#MachineLearning#DataScience
https://t.co/rEtmMA68OA