Crossing the AI Chasm with Infographics
AI is a game changer. Period. And being a data and analytics guy, I could not be more excited about it. The McKinsey research study “Notes from the AI frontier: Applica...
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DSC Webinar Series: Edge Computing with Real-time Analytics at Scale
Performing analytics at the edge is needed in today’s distributed landscape. Edge Computing allows the flexibility of virtualized computation, network and storage resou...
DSC Webinar Series: ML/AI Models: Continuous Integration & Deployment
Some things are best learned through real-world experience. Machine learning is no different. Getting machine learning right requires evolving your analytics platform to ...
It’s Official – Our DNN Models are Now Commodity Software
Summary: Booz Allen just launched a one-stop shop for all manner of pretested DNN models. They’re even guaranteeing price. This makes buying just like picking acc...
40+ Modern Tutorials Covering All Aspects of Machine Learning
This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics...
The Recommender Canvas: Everything You Wanted To Know About Recommender System Design & Its Necessity Today
The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product...
Linear Regression Analysis – Part 1
Who should read this blog: Someone who is new to linear regression. Someone who wants to understand the jargon around Linear Regression Code Repository: https://github.co...
DSC Webinar Series: Train & Tune Your Computer Vision Models at Scale
Whether you are training a self-driving car, detecting animals with drones, or identifying car damage for insurance claims, the steps needed to effectively train a comput...
What is Automated Machine Learning (AutoML)?
What is Automated Machine Learning? Quite simply, it is the means by which your business can optimize resources, encourage collaboration and rapidly and dependably distri...
EM Algorithm Explained in One Picture
The EM algorithm finds maximum-likelihood estimates for model parameters when you have incomplete data. The “E-Step” finds probabilities for the assignment o...