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ODSC East 2019: Major Applications of AI in Healthcare
The healthcare industry has come a long way to arrive at what we know today as modern medicine. Medical professionals have spent decades putting their research to work in order to create a healthier population. But there’s always room for growth and innovation, especially with the help of technology.... Read more
Watch: Challenges and Opportunities in Applying Machine Learning
There are many opportunities in applying machine learning, whether as an individual developer or in a business. But how do you get started? This talk provides an overview that separates fact from fiction and proposes processes to find opportunities for applying ML. This includes understanding where ML can have... Read more
Watch: Introduction to Machine Learning with Scikit-Learn
Machine learning has become an indispensable tool across many areas of research and commercial applications. From text-to-speech for your phone to detecting the Higgs-Boson particle, machine learning excels at extracting knowledge from large amounts of data. This talk gives a general introduction to machine learning and introduces practical tools... Read more
Watch: Deploying Investments in AI and Machine Learning
Over the next 18 months, companies will be completing the R&D phase of their AI/ML investments and will be deploying their models and algorithms to production. The proper execution of deploying your AI/ML models will separate the organizations who see an ROI on AI from those who don’t. This... Read more
Watch: High-Performance Data Science with Docker and Digital Ocean
This talk discusses Docker as a tool for data scientists, in particular in conjunction with the popular interactive programming platform, Jupyter, and the cloud computing platform, Amazon Web Services (AWS). Using Docker, Jupyter, and AWS, a data scientist can take control of their environment configuration, prototype scalable data architectures,... Read more
How Nonprofits Use AI to Improve the Workforce
Artificial intelligence has a hand in just about every industry possible, including the nonprofit sector. Though some may not realize it, nonprofit organizations account for nearly $400B of revenue annually worldwide. But some nonprofits still struggle to make ends meet and expand their workforces, causing them to fold and... Read more
The Power of Universal Latent Space In Medical Breakthroughs
The cost to develop new medicines has grown tremendously despite our computing and medical advances. Although we have a greater need than ever for massive breakthroughs in medical science, the industry itself is still a slow, highly regimented field. Mason Victors, CTO and CPO for Recursion Pharmaceuticals believes that... Read more
Problem Solving with Data for a Better Business
When working with large datasets, the smallest anomalies can throw a wrench in predictive analysis. For example, if a company manually enters data into its database, a human error like mistyping or improper timestamps in the training data of a machine learning model may give you reduced accuracy results.... Read more
Why The New Era of Big Data Requires Innovative Privacy Initiatives
“Data can either be useful or perfectly anonymous but never both.” – Paul Ohm Privacy and data collection go together like peanut butter and jelly, but in the world of big data, it’s becoming increasingly difficult to work with anonymous data without crossing a privacy line. So what’s a... Read more
Watch: Project Feels – Deep Text Models for Sentiment Analysis
This video discusses the use of active learning, deep learning, Bayesian inference, and causality in Project Feels. This project, developed by the Data Science Group at the New York Times, sought to predict how likely a given article was to evoke a range of emotions. Thus project crowdsourced data... Read more