Algorithmic discrimination is an important aspect when data is used for predictive purposes. This paper analyzes the relationships between discrimination and classification, data set partitioning, and decision models, as well as correlation. The paper uses real world data sets to demonstrate the existence of discrimination and the independence between the discrimination of data sets and the discrimination of classification models. An exploration of algorithmic discrimination in data and classification

We are excited to announce Amazon Comprehend Medical, a new HIPAA-eligible machine learning service that allows developers to process unstructured medical text and identify information such as patient diagnosis, treatments, dosages, symptoms and signs, and more. Comprehend Medical helps health care providers, insurers, researchers, and clinical trial investigators as well as health care IT, biotech, and pharmaceutical companies to improve clinical decision support, streamline revenue cycle and clinical trials management, and better address data privacy and protected health information (PHI) requirements.

By Rasmus Rothe, Co-founder at Merantix

In this post, we’ll learn to create an online survey and how to prevent some common mistakes made in surveys. We’ll cover all steps of the survey process, including:

At: Drexel University Location: Philadelphia, PAWeb: drexel.eduPosition: 2 Teaching Faculty Positions in Data Science

By Yoel Zeldes, Algorithms Engineer at Taboola.

Here’s an economics joke. Two economists are walking along when they happen to end up in front of a Tesla showroom. One economist points to a shiny new car and says, “I want that!” The other economist replies, “You’re lying.”

Tune Modern machine learning algorithms are increasingly computationally demanding, requiring specialized hardware and distributed computation to achieve high performance in a reasonable time frame. Many hyperparameter search algorithms have been proposed for improving the efficiency of model selection, however their adaptation to the distributed compute environment is often ad-hoc. We propose Tune, a unified framework for model selection and training that provides a narrow-waist interface between training scripts and search algorithms. We show that this interface meets the requirements for a broad range of hyperparameter search algorithms, allows straightforward scaling of search to large clusters, and simplifies algorithm implementation. We demonstrate the implementation of several state-of-the-art hyperparameter search algorithms in Tune. Tune is available at http://…/tune.html. …

Amazon just launched  ‘Machine Learning University’ to all developers. It is the same training available for internal Amazon Employees. If you are looking to learn about Amazon Web Services (AWS) offerings for data science, now might be a great time to learn. Plus, Amazon announced some new certifications for machine learning.There are 4 different learning paths available, depending upon your goals and future job aspirations:

• Business Decision Maker
• Developer
• Data Scientist
• Data Platform Engineer

As you get older, the percentage of people your age who are married increases and the percentage who have never married decreases. This must mean your dating pool gets smaller with time, right? Well, this assumes you marry someone who is your age. What if you marry someone who is older or younger than you?