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Enhancing Discovery in Data Science Through Novelty in Machine Learning
Note: Kirk will present two training sessions at the ODSC Europe 2020 Virtual Conference. One will focus on “Solving the Data Scientist’s Dilemma: the Cold-Start Problem with 10+ Machine Learning Examples” and the other will look at “Atypical Applications of Typical Machine Learning Algorithms.” I have always appreciated the... Read more
Machine Learning: Active Failures and Latent Conditions
Machine learning and AI applications are advancing in increasingly critical domains such as medicine, aviation, banking, finances, and more.  These applications not only are shaping the way in which industries are operating, but also how people are interacting and using their platforms/technologies. That said, it is of fundamental importance... Read more
Using the ‘What-If Tool’ to Investigate Machine Learning Models
In this era of explainable and interpretable Machine Learning, one merely cannot be content with simply training the model and obtaining predictions from it. To be able to really make an impact and obtain good results, we should also be able to probe and investigate our models. Apart from... Read more
Why You Should be Using Jupyter Notebooks
This article provides a high-level overview of Project Jupyter and the widely popular Jupyter notebook technology. The overarching message I’d like to convey is why you should be using Jupyter for your data science projects. I’ve been using it for all my Python machine learning work and I’m quite... Read more
In the previous post you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post, you will get an understanding of how to use one of the explainers: Unified Information Explainer. The Unified Information Explainer can be used when a unified and intelligible... Read more
In the previous post, you got an overview about interpretability, and the different explainers available in the Interpret-Text tool. In this post you will get an understanding of how to use one of the explainers: Introspective Rationale Explainer. To generate an outstanding text fragment of important features for training a classification... Read more
In the previous post you got an overview of interpretability, and the different explainers available in the Interpret-Text tool. In this post, you will get an understanding of how to use one of the explainers: Classical Text Explainer. The Classical Text Explainer is an interpretability technique used on classical machine... Read more
Responsible AI: Interpret-Text
Artificial intelligence (AI) systems have a growing impact on people’s lives on an every-day-level, thus it is fundamental to protect people, understand models, and control ai systems. While machine learning (ML) services are constantly developing, Microsoft emphasizes the ethical principles that put people first, meaning that employees are working to ensure... Read more
How You Can Use Federated Learning for Security & Privacy
We’re seeing an increased focus and effort by consumers and policymakers toward enhancing privacy related to the collection and usage of data. In 2018, the General Data Protection Regulation (GDPR) took effect in Europe and affected enterprises doing business in the European Union. GDPR requires enterprises to be more... Read more
There are tons of options in the Machine Learning world. You may have noticed a large number of frameworks, libraries, and formats that are floating around. Machine Learning is one of the most “hot” topics of the decade, and the tooling built as we are riding this train. The... Read more