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Why TensorFlow Will Stand Out on Your Resume in 2020
You likely hear about TensorFlow in the machine & deep learning circles for quite a while now, and for good reason. This Google-developed framework excels where many other libraries don’t, such as with its scalable nature designed for production deployment. With that, here are just a... Read more
How to Attend ODSC APAC 2020 for Free
In the nature of open-source data science, we want to make our conferences accessible to those who may not have a chance to attend. For the ODSC APAC Virtual Training Conference & Expo this December 8-9, we have a few ways that you can attend ODSC... Read more
8 Game-Changing Workshop Sessions at ODSC APAC 2020
ODSC APAC 2020 is just a few weeks away. With two days, December 8th and 9th, and 40+ talks dedicated to exploring the ways that AI has transformed industries as diverse as manufacturing and oil & gas, this is a virtual conference you don’t want to... Read more
Data – Driven AI: A Case Study Approach Using a Churn Reduction Example
0.1 Introduction and Background to the Case Study: Framingham Heart Study In the early 1990s heart disease became the leading cause of death. The effects of smoking, cholesterol and obesity on heart disease and stroke was unknown. High blood pressure was seen as an inevitable consequence... Read more
Building an Advanced Analytics and Data Science Team in Government Context
It is widely known that data is highly valuable and crucial for the decision making process. At the same time, handling and deriving values from data requires a deep skill-set and expertise. Digital talent has been scarce, as always. This condition is even more challenging in... Read more
Optimizing DoorDash’s Marketing Spend with Machine Learning
Originally posted here by Doordash, reposted with permission. Over a hundred years ago, John Wanamaker famously said “Half the money I spend on advertising is wasted; the trouble is, I don’t know which half”. This quote still resonates today. Marketers are always trying to find ways to get... Read more
Using a Human-in-the-Loop to Overcome the Cold Start Problem in Menu Item Tagging
Originally posted here at Doordash, reposted with permission. Companies with large digital catalogs often have lots of free-text data about their items, but very few actual labels, making it difficult to analyze the data and develop new features. Building a system that can support machine learning... Read more
ODSC APAC 2020 Schedule Released! See What to Expect Here
ODSC APAC, ODSC’s first virtual data science training conference for the Asia-Pacific region is just a few weeks away and it’s time to start planning your conference. Over the course of two days, 50+ speakers will explore the ways in which AI is transforming different industries,... Read more
Retraining Machine Learning Models in the Wake of COVID-19
Originally posted here by Doordash, with permission. The advent of the COVID-19 pandemic created significant changes in how people took their meals, causing greater demand for food deliveries. These changes impacted the accuracy of DoorDash’s machine learning (ML) demand prediction models. ML models rely on patterns... Read more
What California’s Proposition 24 Expansion Could Mean for Data Privacy
On November 4, California passed Proposition 24, also known as the California Privacy Rights Act. The law will expand the California Consumer Protection Act (CCPA), which took effect in January. California, which was already a leader in online privacy, will now feature some of the world’s... Read more