TensorFlow 1.x vs 2.x. – summary of changes
Overview of changes TensorFlow 1.0 vs TensorFlow 2.0 Earlier this year, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0. The key diff...
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How Fog Computing is changing the BigData paradigm for IoT device?
The new era of BigData and advances in technology have made significant transitions towards the high functionality of IoT devices. The popularity of IoT devices has led t...
Bayesian Machine Learning
Bayesian Machine Learning (part -6) Probabilistic Clustering – Gaussian Mixture Model Continuing our discussion on probabilistically clustering of our data, where we le...
Scraping eBay using BeautifulSoup in Python
Even though Amazon is the leader in e-commerce marketplaces – eBay still has its fair share in the online retail industry. Brands selling online should be monitoring p...
Top 12 Data Science Use Cases in Government
Introduction Big data analytics has been applied to different spheres of human life. One of the best features of data analytics is its adaptability and wide application s...
Using Machine Learning to Solve Business Problems
This article was written by Soft Media Lab. It has the following sections. Contents What is Machine Learning? How to apply machine learning to business? Kinds of data you...
Attacks against machine learning — an overview
This article was written by Elie Bursztein. This blog post survey the attacks techniques that target AI (artificial intelligence) systems and how to protect against th...
We See in 3D – So Should Our CNN Models
Summary: Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification move...
Automation Eliminates Expensive Data Entry Errors
Organizations rarely regard data entry as a key strategic operation. In spite of the rise in automation, companies across the world rely on manual data entry for procurem...
Executive Mandate #1: Become Value Driven, Not Data Driven
I hate it when I hear senior executives state that they want to become data-driven, as if somehow having data is value in of itself. Now, one can hardly blame the unenl...