Video lectures of MLSS2018, Tubingen.
You can learn various ML topics from big names, e.g., Scholkopf, Jordan, Ghahramani, Salakhutdinov, Mnih, Peters, Schaal, etc. https://goo.gl/1ahzJh
You can learn various ML topics from big names, e.g., Scholkopf, Jordan, Ghahramani, Salakhutdinov, Mnih, Peters, Schaal, etc. https://goo.gl/1ahzJh
Talos : Hyperparameter Scanning and Optimization for Keras
Code : https://github.com/autonomio/talos
#ai #bigdata #machinelearning
Code : https://github.com/autonomio/talos
#ai #bigdata #machinelearning
PHYSICS | MACHINE LEARNING
Recent papers combining the fields of physics - especially quantum mechanics - and machine learning : https://physicsml.github.io/pages/papers.html
Recent papers combining the fields of physics - especially quantum mechanics - and machine learning : https://physicsml.github.io/pages/papers.html
This is a great interview with the very smart AndrewYNg, talking baout the future of #AI https://fortune.com/2018/10/06/andrew-ng-artificial-intelligence-authority/
Did the Model Understand the Question?
https://arxiv.org/pdf/1805.05492.pdf
Code and SLIDES
Adversarial Attacks on Question Answering models
https://github.com/pramodkaushik/acl18_results
https://github.com/pramodkaushik/acl18_results/blob/master/talk_slides_ACL2018.pdf
https://t.iss.one/ArtificialIntelligenceArticles
https://arxiv.org/pdf/1805.05492.pdf
Code and SLIDES
Adversarial Attacks on Question Answering models
https://github.com/pramodkaushik/acl18_results
https://github.com/pramodkaushik/acl18_results/blob/master/talk_slides_ACL2018.pdf
https://t.iss.one/ArtificialIntelligenceArticles
GitHub
pramodkaushik/acl18_results
Code to reproduce results in our ACL 2018 paper "Did the Model Understand the Question?" - pramodkaushik/acl18_results
Learning New Physics from a Machine.
https://arxiv.org/abs/1806.02350
#deeplearning #machinelearning #physics
https://arxiv.org/abs/1806.02350
#deeplearning #machinelearning #physics
Machine Learning for New Physics Searches https://arxiv.org/abs/1809.11150 @ArtificialIntelligenceArticles
Career advice for recent Computer Science graduates
By Chip Huyen : https://huyenchip.com/2018/10/08/career-advice-recent-cs-graduates.html @ArtificialIntelligenceArticles
By Chip Huyen : https://huyenchip.com/2018/10/08/career-advice-recent-cs-graduates.html @ArtificialIntelligenceArticles
Machine Learning Top 10 Articles for the Past Month (v.Oct 2018)
https://goo.gl/KrXmVg @ArtificialIntelligenceArticles
https://goo.gl/KrXmVg @ArtificialIntelligenceArticles
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Learning Acrobatics by Watching YouTube
Blog by Xue Bin Peng : https://bair.berkeley.edu/blog/2018/10/09/sfv/
Project page : https://xbpeng.github.io/projects/SFV/index.html
Blog by Xue Bin Peng : https://bair.berkeley.edu/blog/2018/10/09/sfv/
Project page : https://xbpeng.github.io/projects/SFV/index.html
Graduate Student Solves Quantum Verification Problem
Article by Erica Klarreich : https://www.quantamagazine.org/graduate-student-solves-quantum-verification-problem-20181008/
Article by Erica Klarreich : https://www.quantamagazine.org/graduate-student-solves-quantum-verification-problem-20181008/
Reinforcement Learning for Improving Agent Design
https://designrl.github.io/
https://arxiv.org/pdf/1810.03779.pdf
https://designrl.github.io/
https://arxiv.org/pdf/1810.03779.pdf
Interview with Deep Learning Researcher and The GANfather: Dr. Ian Goodfellow
https://hackernoon.com/interview-with-deep-learning-researcher-and-the-ganfather-dr-ian-go-ganfather-dr-ian-goodfellow-cd
https://hackernoon.com/interview-with-deep-learning-researcher-and-the-ganfather-dr-ian-go-ganfather-dr-ian-goodfellow-cd
Applying to Ph.D. Programs in Computer Science
https://www.cs.cmu.edu/~harchol/gradschooltalk.pdf @ArtificialIntelligenceArticles
https://www.cs.cmu.edu/~harchol/gradschooltalk.pdf @ArtificialIntelligenceArticles
"Quantum MachineLearning (Quantum ML)": An Overview
It is a symbiotic association- leveraging the power of QuantumComputing to produce quantum versions of ML algorithms, and applying classical ML algorithms to analyze quantum systems
link : https://goo.gl/7q54AP
https://t.iss.one/ArtificialIntelligenceArticles
It is a symbiotic association- leveraging the power of QuantumComputing to produce quantum versions of ML algorithms, and applying classical ML algorithms to analyze quantum systems
link : https://goo.gl/7q54AP
https://t.iss.one/ArtificialIntelligenceArticles
Telegram
ArtificialIntelligenceArticles
for who have a passion for -
1. #ArtificialIntelligence
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7. Related Courses and Ebooks
1. #ArtificialIntelligence
2. Machine Learning
3. Deep Learning
4. #DataScience
5. #Neuroscience
6. #ResearchPapers
7. Related Courses and Ebooks
ArtificialIntelligenceArticles
"Quantum MachineLearning (Quantum ML)": An Overview It is a symbiotic association- leveraging the power of QuantumComputing to produce quantum versions of ML algorithms, and applying classical ML algorithms to analyze quantum systems link : https://goo.gl/7q54AP…
Quantum Machine Learning - Prof. Lilienfeld
Prof. O. Anatole von Lilienfeld of the University of Bassel presented his labs work on Quantum Machine Learning at the 2017 Conference on Neural Information Processing Systems on December 8th
https://goo.gl/DULxh2
https://t.iss.one/ArtificialIntelligenceArticles
Prof. O. Anatole von Lilienfeld of the University of Bassel presented his labs work on Quantum Machine Learning at the 2017 Conference on Neural Information Processing Systems on December 8th
https://goo.gl/DULxh2
https://t.iss.one/ArtificialIntelligenceArticles
YouTube
Quantum Machine Learning - Prof. Lilienfeld
Prof. O. Anatole von Lilienfeld of the University of Bassel presented his labs work on Quantum Machine Learning at the 2017 Conference on Neural Information ...
Deep Learning and Quantum Physics: A Fundamental Bridge, https://arxiv.org/abs/1704.01552 @ArtificialIntelligenceArticles
fast.ai
Making neural nets uncool again
Learn :
- Intro Machine Learning : https://course.fast.ai/ml
- Practical Deep Learning : https://course.fast.ai/
- Cutting Edge Deep Learning : https://course.fast.ai/part2.html
- Computational Linear Algebra : https://github.com/fastai/numerical-linear-algebra
@ArtificialIntelligenceArticles
Making neural nets uncool again
Learn :
- Intro Machine Learning : https://course.fast.ai/ml
- Practical Deep Learning : https://course.fast.ai/
- Cutting Edge Deep Learning : https://course.fast.ai/part2.html
- Computational Linear Algebra : https://github.com/fastai/numerical-linear-algebra
@ArtificialIntelligenceArticles
Industrial AI: BHGE’s Physics-based, Probabilistic Deep Learning Using TensorFlow Probability - Part 1
https://goo.gl/Sbkwru @ArtificialIntelligenceArticles
https://goo.gl/Sbkwru @ArtificialIntelligenceArticles
Here are 660 free online programming and computer science courses you can start in October https://medium.freecodecamp.org/99725c056812