Modeling Archives - Open Data Science - Your News Source for AI, Machine Learning & more

From Idea to Insight: Using Bayesian Hierarchical Models to Predict Game Outcomes Part 1

Modeling Statistics bayesian Hierarchical Bayesian Modelsposted by Brandon Dey, ODSC January 17, 2020

Imagine you’re a data scientist at an online mobile multiplayer competition platform. Your bosses have a vested interest in paying people with our skillset to predict game outcomes for a variety of commercial applications they profit from, for example, setting odds and sharing better insights with game developers on... Read more

Experiment Management: How to Organize Your Model Development Process

Modeling Model Developmentposted by Jakub Czakon January 17, 2020

Let me share a story that I’ve heard too many times. ” So I was developing a machine learning model with my team and within a few weeks of extensive experimentation, we got promising results… …unfortunately, we couldn’t tell exactly what performed best because we didn’t track feature versions, didn’t record... Read more

Best Deep Reinforcement Learning Research of 2019

Academic Research Deep Learning Modeling deep reinforcement learning Reinforcement Learningposted by Daniel Gutierrez, ODSC January 15, 2020

Since my mid-2019 report on the state of deep reinforcement learning (DRL) research, much has happened to accelerate the field further. Read my previous article for a bit of background, brief overview of the technology, comprehensive survey paper reference, along with some of the best research papers at that... Read more

Top 10 AI Chatbot Research Papers from axXiv.org in 2019

Academic Research Modeling Chatbotsposted by Daniel Gutierrez, ODSC January 13, 2020

AI chatbots are a hot commodity right now and they constitute a fertile area of research for machine learning. Researchers from all over the globe are working hard to push the envelope for what we can expect from chatbots. In this article, I’ve scoured the arXiv.org pre-print server for... Read more

How to Use Excel in Data Science for 2020

Business + Management Featured Post Modeling Excel Microsoftposted by Elizabeth Wallace, ODSC January 10, 2020

Wait, don’t leave! Excel has a terrible reputation in data science, and there is about 20 years’ worth of literature cautioning against the use of Excel in data science. There are better, faster, more agile programs that spit fancier representations and offer cooler capabilities. And here’s the lowly Excel... Read more

Decision Intelligence and Why Goldilocks Made Bad Choices

Featured Post Machine Learning Modeling domain intelligence East 2020posted by Scott Haines January 9, 2020

Spoiler: Goldilocks survives. Let us first start by saying things could have turned out much worse. Really worse. Don’t walk into a stranger’s house and eat their food and nap in their house. This is just a no-brainer! In the real world when we make decisions there is a much... Read more

Introduction to Spark NLP: Foundations and Basic Components

Modeling NLP/Text Analytics Tools & Languages East 2020 Spark NLPposted by ODSC Community January 9, 2020

* This is the first article in a series of blog posts to help Data Scientists and NLP practitioners learn the basics of Spark NLP library from scratch and easily integrate it into their workflows. During this series, we will do our best to produce high-quality content and clear instructions with... Read more

Using the CNN Architecture in Image Processing

Deep Learning Modeling cnn architecture Image Processingposted by ODSC Community January 9, 2020

Convolutional Neural Networks (CNNs) leverage spatial information, and they are therefore well suited for classifying images. These networks use an ad hoc architecture inspired by biological data taken from physiological experiments performed on the visual cortex. Our vision is based on multiple cortex levels, each one recognizing more and... Read more

Using the NGBoost Algorithm

Machine Learning Modeling ngboost regressionposted by Daniel Gutierrez, ODSC January 8, 2020

Data scientists competing in Kaggle competitions often come up with winning solutions using ensembles of advanced machine learning algorithms. One particular model that is typically part of such ensembles is Gradient Boosting Machines (GBMs). Gradient boosting is a machine learning method used for the solution of regression and classification... Read more

24 Evaluation Metrics for Binary Classification (And When to Use Them)

Machine Learning Modeling Binary Classificationposted by Jakub Czakon January 7, 2020

Not sure which evaluation metric you should choose for your binary classification problem? After reading this blog post you should have a good idea. You will learn about a bunch of common and lesser-known evaluation metrics and charts to understand how... Read more