🌀 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…
⚽️ We just released on #Nature @ScientificData the largest dataset of spatio-temporal events in soccer matches: one season of 8 soccer competitions!
1⃣ Paper 👉 https://t.co/P3U9sUZffl
2⃣ Blog post 👉 https://t.co/vxwTO6hQjw #SportsAnalytics #SciComm #DataScience #PlayeRank
1⃣ Paper 👉 https://t.co/P3U9sUZffl
2⃣ Blog post 👉 https://t.co/vxwTO6hQjw #SportsAnalytics #SciComm #DataScience #PlayeRank
Stanford has just released Stanza - a Python natural language processing library that works with 66 language based on Universal Dependencies formalism.
#Linguistics #naturallanguageprocessing #voicefirst #conversationaldesign #datascience
https://stanfordnlp.github.io/stanza/
#Linguistics #naturallanguageprocessing #voicefirst #conversationaldesign #datascience
https://stanfordnlp.github.io/stanza/
Stanza
High-performance human language analysis tools, now with native deep learning modules in Python, available in many human languages.
In this session of Andreas Lauschke's #DataScience with #Mathematica series, he provides an introduction to Dynamic Programming for the data scientist. Watch the video, consisting of theory and illustrative examples, here:
https://youtu.be/MZnOL17CHdY
https://youtu.be/MZnOL17CHdY
YouTube
Data Science with Mathematica -- Dynamic Programming
In this session of my Data Science with Mathematica track I provide an introduction to Dynamic Programming for the Data Scientist. DP is a very important, practical, flexible, and code-efficient way to solve problems in combinatorial optimization. Its applicability…
💰 Aalto University is hiring a HPC Specialist:
https://t.co/A55Ajl8j8J
Tasks: maintaining and developing HPC systems for Aalto and the Finnish Grid Infra, teaching, user support, scientific computing. Our team is small and has a good dynamic, come join us. #DataScience #jobs
https://t.co/A55Ajl8j8J
Tasks: maintaining and developing HPC systems for Aalto and the Finnish Grid Infra, teaching, user support, scientific computing. Our team is small and has a good dynamic, come join us. #DataScience #jobs
www.aalto.fi
HPC Specialist, Aalto Scientific Computing | Aalto University
💰 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