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Best Deep Reinforcement Learning Research of 2019
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
Want to Work in Data Science? The Data Science Market for 2020
Good news. Data scientists are still in demand going into the new year. However, for many of you, the chance to break into data science could come with a slight pivot. Let’s take a look at the data science market to see how things are shaping up for this... Read more
Top 10 AI Chatbot Research Papers from axXiv.org in 2019
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
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
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
* 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
Top Data Science Skills for 2020
Data Science is an increasingly competitive field and participants are constantly working hard to build more levels of skill and experience. This trend has given rise to ever more demanding job descriptions for the position. To stay competitive, it makes sense to prepare yourself for new ways of working... Read more
Using the CNN Architecture in Image Processing
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
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
5 Hands-on Skills Every Data Scientist Needs in 2020 – Coming to ODSC East 2020
At ODSC events, our goal is to provide training and workshops that help everyone from beginners to experienced data scientists and software engineers accelerate their hands-on skills in all areas of data science and AI. Here are our top five hands-on training focus areas that every data scientist should... Read more