In 2019, Google announced TensorFlow 2.0, it is a major leap from the existing TensorFlow 1.0. The key differences are as follows: Ease of use: Many old libraries (examp...
The covariance matrix has many interesting properties, and it can be found in mixture models, component analysis, Kalman filters, and more. Developing an intuition for ho...
While Strategy may not be dead, the importance of the traditional strategy function will be greatly reduced by the emergence of AI. In my previous blog “Strategy Series...
You might have seen how technologies are serving us in multiple fields and situations whether it is Artificial intelligence, ML or Blockchain. Technologies like artificia...
A recent article in BusinessWeek titled “Farmers Fight John Deere Over Who Gets to Fix an $800,000 Tractor” highlights a key challenge with which organizations must w...
P-values and critical values are so similar that they are often confused. They both do the same thing: enable you to support or reject the null hypothesis in a test. But ...
Scaling AI with Dynamic Inference Paths in Neural Networks Introduction IBM Research, with the help of the University of Texas Austin and the University of Maryland, has ...
Table of contents: What is Deep Learning? Supervised DL: The KISS Pathway That Leads To The Expected Unsupervised Deep Learning: An Exploratory Journey To Figuring Out th...
Use of SecureSVM, Boosting, Bagging, Clustering, LSTM, CNN, GAN in Retail with BlockChain Introduction This blog highlights different ML algorithms used in blockchain tra...
Coronavirus pandemic is stretching the healthcare operational resources to an immense extent. During such a brief duration of time, COVID—19 has become one of the bi...