30 Free Courses in #NeuralNetworks, #MachineLearning, #Algorithms, and #AI : https://t.co/LDbHoNxec4 #abdsc
#BigData #DataScience #DeepLearning #DataScientists
#BigData #DataScience #DeepLearning #DataScientists
pymc_learn is focused on bringing probabilistic machine learning to non specialists. Read this draft paper for more details: https://t.co/Xgeacf1VPN #ProbabilisticModeling #MachineLearning @pymc_devs @scikit_learn https://t.co/F2BZT1mu0s
Why Excel Users Should Learn Python : https://t.co/XwF1IbqYy0 #abdsc #BigData #Analytics #DataScientists #Coding
So, check out this "Complete Tutorial To Learn #DataScience With #Python From Scratch": https://t.co/PfQ5gfcke5 #MachineLearning #AI #Algorithms
So, check out this "Complete Tutorial To Learn #DataScience With #Python From Scratch": https://t.co/PfQ5gfcke5 #MachineLearning #AI #Algorithms
This algorithm browses Wikipedia to auto-generate textbooks https://t.co/bExALBY6u0
#DeepLearning #MachineLearning #AI #DataScience
#DeepLearning #MachineLearning #AI #DataScience
⚠ A mathematical model from 103 years ago predicted something that was seen for the first time today: a #black_hole.
#MachineLearning could never do that: it needs observations to model anything. This is a major weak-point of ML. Let's fix it.
A stark contrast between Machine Learning vs other forms of mathematical modeling is that ML models often don't model extreme corner cases very well, because #data in those areas is rare. Gathering data in important areas is as important a skill as building fancy neural networks.
Sadly, too often, using extreme inputs to a model is more useful: e.g. by modeling physics of levers on light objects with short levers, we then built very long levers to lift extremely heavy things. Instead, ML is better suited at modeling everyday phenomena with complex models.
https://twitter.com/Reza_Zadeh/status/1053771110410375168?s=19
#MachineLearning could never do that: it needs observations to model anything. This is a major weak-point of ML. Let's fix it.
A stark contrast between Machine Learning vs other forms of mathematical modeling is that ML models often don't model extreme corner cases very well, because #data in those areas is rare. Gathering data in important areas is as important a skill as building fancy neural networks.
Sadly, too often, using extreme inputs to a model is more useful: e.g. by modeling physics of levers on light objects with short levers, we then built very long levers to lift extremely heavy things. Instead, ML is better suited at modeling everyday phenomena with complex models.
https://twitter.com/Reza_Zadeh/status/1053771110410375168?s=19
Twitter
Reza Zadeh
A stark contrast between Machine Learning vs other forms of mathematical modeling is that ML models often don't model extreme corner cases very well, because data in those areas is rare. Gathering data in important areas is as important a skill as building…
🍟 Data science summer school this September in Pisa, Italy. It is straighter than it looks.
https://t.co/gZQdBpp8O5
https://t.co/gZQdBpp8O5
Data Science Summer School 2019
The Data Science Summer School 2019 is organized by the Data Science Ph.D. schools of Pisa and Rome and will be in Pisa (Italy) from September 2nd to 6th. 10 half-day tutorials by top scholars on #DataMining #BigData #MachineLearning #AI #NetworkScience #Ethics…