Data
Microsoft Build 2019 | Breaking the Wall between Data Scientists and App Developers with MLOps
Microsoft Build 2019 | Breaking the Wall between Data Scientists and App Developers with MLOps Session ID: BRK2004 MLOps is DevOps for machine learning and brings continuous integration, delivery and learning to the machine learning lifecycle. This session will show you how to get to market faster with better models, and operationalize more reliably …
Microsoft Build 2019 | MLOps: How to Bring Your Data Science to Production
Microsoft Build 2019 | MLOps: How to Bring Your Data Science to Production Session ID: BDL2026 While many enterprises have already adopted DevOps and GitOps strategies to improve their developers’ efficiency, most have yet to employ the same techniques for their machine learning pipelines. In this panel, we will discuss the practice of MLOps, …
Microsoft Build 2019 | The Ethical Challenges of Building Facial Recognition Systems
Microsoft Build 2019 | The Ethical Challenges of Building Facial Recognition Systems Session ID: CFS2014 While researchers have identified unfair biases in facial recognition systems and policy addressing these issues is beginning to take shape, there has been less discussion about what practical steps developers of facial recognition systems can take to address unfair …
MIT Develops Model That Predicts Cognitive Decline Of Patients With Alzheimer’s
Researchers hope the system can zero in on the right patients to enroll in clinical trials, to speed discovery of drug treatments. A new model developed at MIT can help predict if patients at risk for Alzheimer’s disease will experience clinically significant cognitive decline due to the disease, by predicting their cognition test scores up …
How To: Perform Tests for Normality in R
Normality is one assumption that you will typically encounter in statistical methods that you will employ. A lot of the tests that were created have an underlying assumption that your data is normal. A large number of parametric tests assume normality of data. Ordinary least squares regression assumes it for its error terms, too. You can …
Tackling Bias In Artificial Intelligence
Our use of Artificial Intelligence is growing along with advancements in the field. It has gone to the point that it is used in riskier areas such as hiring, criminal justice, and healthcare. This is with the hope the AI will provide less biased results compared to humans. In their paper, Jake Silberg and James …
Statistics for Dummies: Levels of Measurement
Arguably one of the most important skills you must have in order to get started with using statistical methods is knowing the scale or level of measurement of your data. The appropriate method of analysis for your data is dependent on the scale it was measured in. Here’s a quick rundown of the four levels …
PyCon 2019 | Pandas Is For Everyone
PyCon 2019 | Pandas Is For Everyone Speaker: Daniel Chen Data Science and Machine learning have been synonymous with languages like Python. Libraries like Numpy and Pandas have become the de facto standard when working with data. The DataFrame object provided by Pandas gives us the ability to work with heterogeneous unstructured data that …
Statistics for Dummies: The Normal Distribution
The normal distribution is arguably the most used distribution in statistics. A lot of statistical methods rely on assuming that your data is normally distributed. What is so special about it? The infamous bell The normal distribution is characterized by its trademark bell-shaped curve. The shape of the bell curve is dictated by two parameters. …
Google I/O 2019 | TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow
Google I/O 2019 | TF-Agents: A Flexible Reinforcement Learning Library for TensorFlow TF-Agents is a clean, modular, and well-tested open-source library for Deep Reinforcement Learning with TensorFlow. This session will cover recent advancements in Deep RL, and show how TF-Agents can help to jump start your project. You will also see how TF-Agent library components …