This is an exhaustive list of Monte Carlo tree search papers from major conferences including NIPS, ICML, and AAAI. Some of them with publicly available implementations.

https://github.com/benedekrozemberczki/awesome-monte-carlo-tree-search-papers

#datascience #machinelearning #deeplearning #python #ai #analytics #datamining

How To Build Your Own MuZero AI Using Python (Part 1/3)
Blog by David Foster : https://medium.com/applied-data-science/how-to-build-your-own-muzero-in-python-f77d5718061a
#MachineLearning #DeepLearning #DataScience #ArtificialIntelligence #AI

Postdoctoral Fellow in Bioinformatics, Deep Learning
https://bioinformatics.ca/job-postings/a24301d0-1c3b-11ea-947d-63bc5c89c0f8/#/?&order=desc
https://t.me/ArtificialIntelligenceArticles

Analyzed 1k+ Deep Learning Projects on Github and related StackOverflow issues. And interviewed 20 researchers and practitioners

https://arxiv.org/abs/1910.11015

https://t.me/ArtificialIntelligenceArticles

What is adversarial machine learning, and how is it used today?

-Generative modeling, security, model-based optimization, neuroscience, fairness, and more!

Here's a fantastic video overview by Ian Goodfellow.
http://videos.re-work.co/videos/1351-ian-goodfellow
#ML #adversarialML #AI #datascience

XGBoost: An Intuitive Explanation
Ashutosh Nayak : https://towardsdatascience.com/xgboost-an-intuitive-explanation-88eb32a48eff
#MachineLearning #DataScience #RandomForest #Xgboost #DecisionTree

Top 20 Websites for #MachineLearning and #DataScience in 2020! bit.ly/2rvjDYL

"Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning

Data project checklist
By Jeremy Howard : https://www.fast.ai/2020/01/07/data-questionnaire/
#ArtificialIntelligence #DataScience #MachineLearning

Did you know that now it is possible to search for datasets just like searching for images in Google? This makes easier than ever the searching of data to train our machine learning methods.

PS: Remember that as a good practice in data science you always have to clean and prepare any dataset before using it!

https://toolbox.google.com/datasetsearch
#datascience
#machinelearning

Machine Learning Unlocks Library of The Human Brain. #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #NeuroScience


http://thetartan.org/2019/11/11/scitech/brain-thoughts

"Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning

Optuna: A Next-generation Hyperparameter Optimization Framework"
Akiba et al.: https://arxiv.org/abs/1907.10902
#ArtificialIntelligence #DataScience #MachineLearning

Accelerating TSNE with GPUs: From hours to seconds
Blog by Daniel Han-Chen : https://medium.com/rapids-ai/tsne-with-gpus-hours-to-seconds-9d9c17c941db
#MachineLearning #DataVisualization #DataScience

PyTorch Wrapper version 1.1 is out!

New Features:

- Samplers for smart batching based on text length for faster training.

- Loss and Evaluation wrappers for token prediction tasks.

- New nn.modules for attention based models.

- Support for multi GPU training / evaluation / prediction.

- Verbose argument in system's methods.

- Examples using Transformer based models like BERT for text classification.

Check it out in the following links:

install with: pip install pytorch-wrapper

GitHub: https://github.com/jkoutsikakis/pytorch-wrapper

docs: https://pytorch-wrapper.readthedocs.io/en/latest/

examples: https://github.com/jkouts…/pytorch-wrapper/…/master/examples

#DeepLearning #PyTorch #NeuralNetworks #MachineLearning #DataScience #python #TensorFlow

How does the non-conscious become conscious?
https://www.cell.com/current-biology/fulltext/S0960-9822(20)30033-6
https://t.me/ArtificialIntelligenceArticles

Machine learning in physics: The pitfalls of poisoned training sets
Fang et al.: https://arxiv.org/abs/2003.05087
https://t.me/ArtificialIntelligenceArticles
#MachineLearning #NeuralNetworks #Physics

CS472 Data science and AI for COVID-19
Zou et al.: https://sites.google.com/view/data-science-covid-19/
#ArtificialIntelligence #Covid19 #DataScience https://t.me/ArtificialIntelligenceArticles

Code for modelling estimated deaths and cases for COVID19
Model from Report 13 of the Imperial College COVID-19 Response Team. GitHub: https://github.com/ImperialCollegeLondon/covid19model
#Covid19Response #DataScience #Modeling

Our team at Google set a new world record in (quantum processor based) resolving the energy spectrum of a chemical compound.
https://arxiv.org/abs/2004.04174
https://t.me/ArtificialIntelligenceArticles