Data Science Modeling Tutorials, Guides, Tips, and Examples

What Statistical Test Should I Do?

Modeling R Tools & Languagesposted by Antoine Soetewey May 4, 2022

Being a teaching assistant in statistics for students with diverse backgrounds, I have the chance to see what is globally not well understood by students. I have realized that it is usually not a problem for students to do a specific statistical test when they are told which... Read more

Answering Causal Questions in AI

Machine Learning Modelingposted by ODSC Community May 4, 2022

Two of the main techniques used in order to try to discover causal relationships are Graphical Methods (such as Knowledge Graphs and Bayesian Belief Networks) and Explainable AI. These two methods form in fact the basis of the Association level in the Causality Hierarchy (Figure 1),... Read more

Making Deep Learning Climate-Friendly

Deep Learning Modelingposted by ODSC Community May 3, 2022

Deep learning is bringing many benefits to the world: solving the 50-year-old protein folding problem, detecting cancer, and improving the power grid. While there is so much that deep learning is powering, we also need to consider the costs. In the quest for more accurate and... Read more

Exploring Natural Language Processing: Two Ways You Can Leverage Corpus Analysis

Modeling NLP/Text Analytics Corpus Analysis Natural Language Generation SAS SAS Blogsposted by ODSC Community May 3, 2022

Corpus analysis is a technique widely used by data scientists because it provides understanding of a document collection and provides insights about the text. It’s an apt methodology to consider as we came upon Charles Dickens’ 210th birthday earlier this year because of how frequently passages... Read more

Overcoming ImageNet dataset biases with PASS

Modeling Computer Visionposted by Parul Pandey May 3, 2022

ImageNet is one of the most widely used datasets in Computer Vision applications. However, studies have shown biases prevalent in this dataset based on the collection methodology and the types of images present. In this respect, a team of researchers at the Visual Geometry Group, the University of... Read more

Using Distillation to Protect Your Neural Networks

Deep Learning Modelingposted by ODSC Community May 3, 2022

Distillation is a hot research area. For distillation, you first train a deep learning model, the teacher network, to solve your task. Then, you train a student network, which can be any model. While the teacher is trained on real data, the student is trained on the teacher’s outputs. It... Read more

AI Trained to Generate Novel Molecular Materials with a Generative Graph Grammar Model

AI and Data Science News Deep Learning Modeling MITposted by April Miller April 29, 2022

Emerging technologies in the scientific community are helping researchers achieve more goals and make discoveries. Revolutionary tech such as artificial intelligence (AI) and machine learning (ML) have already disrupted various industries, from manufacturing to retail and beyond. ML has expedited the discovery process, especially for grad... Read more

Extracting Information From Unstructured Documents with Azure Form Recognizer

Modeling Azure Microsoftposted by ODSC Community April 28, 2022

Extracting information from unstructured documents such as contracts is usually manual and involves tediously reading and understanding substantial amounts of documents to find specific information and manually extracting the information to digitize it. The process consumes a significant amount of a lawyer’s billable hours and is... Read more

Open-Source Assessment is Critical for the Future of Responsible AI

Modeling Responsible AIposted by ODSC Community April 26, 2022

Artificial intelligence’s technological sophistication and industry reach continues to evolve rapidly, which has prompted a movement to ensure that these systems are used responsibly. The broadest goal of Responsible AI (RAI) is to recognize the expansive consequences of AI systems, and adapt the development and management... Read more

Recurrent Neural Networks for Financial Time Series Prediction

Blogs from ODSC Speakers Deep Learning Modeling Europe 2022 Time Seriesposted by ODSC Community April 26, 2022

Editor’s note: Nicole Königstein is a speaker for ODSC Europe 2022. Be sure to check out her talk, Dynamic and Context-Dependent Stock Price Prediction Using Attention Modules and News Sentiment, there to learn more about financial time series prediction! The use of neural networks is relatively... Read more