Disposable Technology: A Concept Whose Time Has Come
Imagine…imagine that you have been challenged to play Steph Curry, the greatest 3-point shooter in the history of the National Basketball Association, in a game of 1...
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What is Quantum Computing and How is it Useful for Artificial Intelligence?
Introduction After decades of a heavy slog with no promise of success, quantum computing is suddenly buzzing! Nearly two years ago, IBM made a quantum computer available ...
Machine Learning : Unsupervised – Hierarchical Clustering and Bootstrapping
1. What is Machine Learning Humans have evolved over the years and have come to be what we say the smartest existing species on the planet Earth. Going back to ancient d...
2020 Forecast: Turning IT into a Profit Center
Data is a unique economic asset; it never depletes, never wears out and can be used across an unlimited number of use cases at near zero marginal cost. Data in the hands ...
AIOT Summit – Personal Invitation
Dear colleague, I would like to personally invite you to attend a unique and interesting conference: AIoT Dev Summit which I believe is an exciting step forward in Data S...
Top 6 AI Companies to Start Your ML Project
There are a lot of AI Companies that offer Machine Learning development. Even choosing the right ones for your project could take a decent amount of time, not even mentio...
Diabetes Prediction with Ensemble Techniques
Till your good is better and better is best! ENSEMBLE Yes, the above quote is so true. We humans have ability to rate things and find some or the other matrices to measur...
Basics of Hive and Impala for Beginners
Data Science is the field of study in which large volumes of data are mined, analysed to build predictive models, and help the business in the process. The data used over...
How Apache Spark can Boost Your Value?
Introduction Technological progress and the development of infrastructure has increased the popularity of Big Data immensely. Businesses have started to realize that d...
Where Do We Stand With GANs?
Summary: GANs (Generative Adversarial Nets) originally thought to be a tool for inexpensively creating DNN training data have instead become the tools for creating deep...