Next Generation Chip Wars Heat Up as AMD Eyes Xilinx acquisition
Data Points Chip manufacturer AMD is in talks to acquire Xilinx by the end of 2020. With the acquisition, AMD joins Intel and nVidia as heterogeneous computing giants. X...
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5 Tried and Tested SaaS Marketing Strategies to Generate Leads
SaaS solutions literally power the business world. The rise of AWS, API networks, app marketplaces, and a number of other new developments have made it simpler than ever ...
Free book – Cloud Native, Containers and Next-Gen Apps
I always seek good resources for my teaching at #universityofoxford and this is a great free book on Cloud native – a topic that is very much in the focus The book need...
Applied Data Science with Python
The demand and the supply gap for a data scientist are ever-increasing. In fact, in one of its surveys, IBM predicts increment in data science jobs to be 364,000 to 2720,...
Types of Variables in Data Science in One Picture
While there are several dozen different types of possible variables, all can be categorized into a few basic areas. This simple graphic shows you how they are related, wi...
Data Observability: How to Fix Your Broken Data Pipelines
Image courtesy of Julia Kozoski on Unsplash. While the technologies and techniques for analyzing, aggregating, and modeling data have largely kept pace with the demand...
AI is Driving Software 2.0… with Minimal Human Intervention
The future of software development will be model-driven, not code-driven. Now that my 4th book (“The Economics of Data, Analytics and Digital Transformation”) is in t...
Why you should NEVER run a Logistic Regression (unless you have to)
Hello fellow Data Science-Centralists! I wrote a post on my LinkedIn about why you should NEVER run a Logistic Regression. (Unless you really have to). The main thrust is...
Applications of Machine Learning in FinTech
Machine learning is a type of artificial intelligence that provides computers with the ability to learn without being explicitly programmed. The science behind machine le...
Cross-validation and hyperparameter tuning
Introduction Almost every machine learning algorithm comes with a large number of settings that we, the machine learning researchers and practitioners, need to specify. T...