🤔 How much MATH do you *really* need to know in order to get started in #MachineLearning? Vincent Chen discusses math anxiety, cultural norms, and the mathematical background recommended for ML. https://t.co/pykh7DTKxl
Y Combinator
Learning Math for Machine Learning
In this piece, my goal is to suggest the mathematical background necessary to build products or conduct academic research in machine learning. These suggestions are derived from conversations with machine learning engineers, researchers, and educators, as…
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…
🌀 Machine learning is a great tool to solve problems, but how does it compare to traditional mathematical modelling? Does one win out or is there a way to combine the two?
https://andrewmellor.co.uk/blog/articles/2019/05/09/machine-learning/
#machinelearning #mathematics #datascience #pytorch #python #collab
https://andrewmellor.co.uk/blog/articles/2019/05/09/machine-learning/
#machinelearning #mathematics #datascience #pytorch #python #collab
Andrew Mellor
Machine Learning and Mathematics: Collaborators or Competitors?
So just where does machine learning fit in to the scientific world? And are we eventually going to have to resort to such methods to make progress in modelling if mathematical models cannot keep up? I'd like to argue that machine learning and mathematical…
Time Series Analysis From the Ground Up
You can now download the slide deck from our Intro to Time Series tutorial:
https://t.co/6AiGOPZAlh
#Data Science #Timeseries #ARIMA #MachineLearning #Tutorial
You can now download the slide deck from our Intro to Time Series tutorial:
https://t.co/6AiGOPZAlh
#Data Science #Timeseries #ARIMA #MachineLearning #Tutorial