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
💰 We are looking for a #postdoc
https://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html
Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.
https://www.fz-juelich.de/inm/inm-7/EN/Home/home_node.html
Join us to develop & apply new approaches for #MachineLearning on neuroimaging and clinical datasets.
Would you like to become an #highperformancecomputing expert? Would you like to become a #MachineLearning geek?
Join the @mhpc_sissa_ictp master held in Trieste by Sissa and ictp, two amazing scientific institutions! #Science #innovation #MachineLearning #aiforgood
standard #Applications for MHPC 2020/2021 are now open!
Here you can find the link to submit your application: https://t.co/aVPjQkT4bX
Join the @mhpc_sissa_ictp master held in Trieste by Sissa and ictp, two amazing scientific institutions! #Science #innovation #MachineLearning #aiforgood
standard #Applications for MHPC 2020/2021 are now open!
Here you can find the link to submit your application: https://t.co/aVPjQkT4bX
چهارشنبه ساعت۱۸:۳۰ به وقت تهران
What don’t we know about #machinelearning? Dive in with this Joint ICTP-SISSA Online Colloquium tomorrow, 22 July, at 16:00 CET!
Here’s all the info & how to join in 🎥 https://t.co/6VxNZLoy69
What don’t we know about #machinelearning? Dive in with this Joint ICTP-SISSA Online Colloquium tomorrow, 22 July, at 16:00 CET!
Here’s all the info & how to join in 🎥 https://t.co/6VxNZLoy69
NeurIPS2020 workshop on 'Topological Data Analysis & Beyond' is open for submissions now:
https://t.co/4KhsCW0QXb
This is your chance to showcase work that combines #MachineLearning and #Topology.
https://t.co/4KhsCW0QXb
This is your chance to showcase work that combines #MachineLearning and #Topology.
OpenReview
NeurIPS 2020 Workshop TDA and Beyond
Welcome to the OpenReview homepage for NeurIPS 2020 Workshop TDA and Beyond
💰 The deadline to apply for the PhD positions in KTH is approaching! #KTH #datascience #machinelearning #AI #PhD #PhDposition
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:355118/type:job/where:4/apply:1
https://www.kth.se/en/om/work-at-kth/lediga-jobb/what:job/jobID:355118/type:job/where:4/apply:1
💰 We are currently looking for passionate Data Engineers and Data Scientists for our HQ in Berlin, who can improve food-delivery experience for millions of our customers, present in more than 40 countries!
You will develop innovative systems to automate marketing campaigns, design a tailored user experience for each customer and question the existing decision-making processes with ML and advanced analytics solutions.If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Senior data engineer (Python):
https://lnkd.in/dvzFPZU
Senior data scientist:
https://lnkd.in/dMaCQgC
#dataengineering #datascience #machinelearning #ml #data #deliveryhero
Quick peek at what the team does:
https://lnkd.in/dP2cuNf
You will develop innovative systems to automate marketing campaigns, design a tailored user experience for each customer and question the existing decision-making processes with ML and advanced analytics solutions.If you're a creative problem solver who is eager to deliver solutions and hungry for a new adventure, an international workplace is waiting for you in the heart of Berlin!
Senior data engineer (Python):
https://lnkd.in/dvzFPZU
Senior data scientist:
https://lnkd.in/dMaCQgC
#dataengineering #datascience #machinelearning #ml #data #deliveryhero
Quick peek at what the team does:
https://lnkd.in/dP2cuNf
lnkd.in
LinkedIn
This link will take you to a page that’s not on LinkedIn
“The Hitchhiker's Guide to #CondensedMatter and #StatisticalPhysics” is a series of virtual events that will provide a roadmap of current research directions in the field.
🔹 Register to the first virtual school on #MachineLearning for CM by November 30: https://t.co/WvX1sbYFwE
🔹 Register to the first virtual school on #MachineLearning for CM by November 30: https://t.co/WvX1sbYFwE
“The Hitchhiker's Guide to #CondensedMatter and #StatisticalPhysics” is a series of virtual events that will provide a roadmap of current research directions in the field.
🔹 Register to the first virtual school on #MachineLearning for CM by November 30: http://indico.ictp.it/event/9471/
🔹 Register to the first virtual school on #MachineLearning for CM by November 30: http://indico.ictp.it/event/9471/