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Machine Learning


Neural Network for Software Engineers 2: Mini-Batch Training and Validation

In our previous post Neural Networks for Software Engineers 1, we learned about and implemented some basic features about using a multi-layer perceptron, and implemented those features in Python/Numpy.


End to End Incremental Learning

This article is originally published here.

This article discusses ECCV-2018 “End to End Incremental Learning” paper.

Following is the outline of the article:

  1. Incremental Learning.

PyBay 2018: My highlights

This year I attended PyBay 2018, a conference with over 500 attendees, run by volunteers dedicated to build Python…


ABMs in financial markets + ML/AI

Robert Hillman recently gave a talk on Financial Market Simulations, which can be found here.This is a great overview and intro of where things are at when it comes to financial market simulations using agent-based modeling (ABM) approaches.


Nvidia and the machine learning revolution

We at Dentem are super exited about what NVIDIA AI is bringing into the market. The new RTX line of graphics cards and the new ‘Turing’ architecture. This will push the whole industry forward. With machine learning revolutionizing every industry one by…


KDD 2018

KDD is one of the major international Data Mining conferences. Today, the best papers were announced, and I was able to have a look at the program to search for papers dealing with urban research.

Best Papers


ENSOCast v2

Last month I wrote an article about my preliminary attempts to use neural nets to make ENSO predictions. The first iteration of the model…


Machine Learning Vs. Deep Learning — An Example Implementation

Presenters: Synerzip’s Vinayak Jogelekar, Co-Founder & CTO, & Krishna Bhavsar, Machine Learning Architect and Author of Natural Language Processing with Python Cookbook.


AWS SageMaker Upgrades Again

Amazon Web Services (AWS) yesterday rolled out yet another new set of capabilities for its SageMaker…