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10 Trending Data Science Topics at ODSC East 2019
ODSC East 2019 is honored to host over 300+ of the leading experts in data science and artificial intelligence.  In this evolving field new topics, models, frameworks, and techniques are constantly emerging. Here are a few standout topics and presentations to keep an eye on: Hands-on Introduction to LSTMs... Read more
Introduction to R Shiny
Alyssa is a speaker for ODSC East 2019 this April 30 to May 3! Attend her talk “Data Visualization with R Shiny.” What is R Shiny? Shiny is an R package that enables you to build interactive web apps using both the statistical power of R and the interactivity... Read more
Learn Interpretability for Data Science
Editor’s note: Rajiv Shaw will be a speaker at ODSC East 2019 this May! Be sure to check out his talk, “Deciphering the Black Box: Latest Tools and Techniques for Interpretability” there. The impact of machine learning has been tremendous, whether it’s measured in dollars (trillions) or human impact... Read more
From Pandas to Scikit-Learn — A New Exciting Workflow
Ted will present more on this topic at ODSC East 2019 this May in his presentation, “Integrating Pandas with Scikit-Learn, an Exciting New Workflow“ This article is available as a Jupyter Notebook on Google’s Colaboratory (open in playground mode to run and edit) and at the Machine Learning Github repository for the Dunder... Read more
Combining Millions of Products Into One Marketplace Using Computer Vision and NLP
Editor’s note: Ali Vanderveld will present on this topic at ODSC East 2019! Check out her talk here. ShopRunner is an e-commerce company that receives feeds of product data from over 140 different retailer partners, including large department stores and retailers that specialize in clothing, electronics, appliances, nutritional products,... Read more
Techniques to Overcome Data Scarcity
Editor’s note: Attend ODSC East 2019 this April 30 to May 3 in Boston and check out Parinaz’ talk, “Data Efficiency Through Transfer Learning” there! Supervised machine learning models are being used to successfully solve a whole range of business challenges. However, these models are data-hungry and their performance relies... Read more
Deep Learning with Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning that employs an autonomous agent that learns to perform a task by trial and error without any guidance from a human. A system of rewards and penalties compels the machine to solve a problem independently. Human involvement is limited to altering... Read more
The 2019 Data Science Dictionary – Key Terms You Need to Know
The data science field is teeming with terminology, a confluence of terms from computer science, statistics, mathematics, and software engineering. In addition, the language of data science evolves very quickly. As a journalist and also a data scientist, I probably see the newest terms before many others in the... Read more
The Hitchhiker’s Guide to a Successful Data Science Practice
Be sure to attend Olivier’s talk at ODSC East this April 30 – May 3 in Boston! Register now for “Democratizing Artificial Intelligence in a Business Context” now. When we speak about data science in general, one of the biggest problems is the sheer lack of data scientists. According... Read more
Deep Learning for Business: 5 Use Cases
Enterprises at every stage of growth from startups to Fortune 500 firms are using AI, machine learning, and deep learning technologies for a wide variety of applications. Deep learning, as the fastest growing area in AI, is empowering much progress in all classes of emerging markets and ultimately will... Read more