Architecture that’s built to heal.
If you are not aware of the software architecture then go through this tutorial Software architecture. In this tutorial, we are gone through software architecture, not the hardware…
Kalman Filter (aka linear quadratic estimation (LQE)) is an algorithm which can be used to…
No one needs a Ph.D to teach a Machine to Learn , just a heart to teach
https://github.com/nebiljabari/meteorning
Once upon a time there was the Frontend and Backend Developer who gave the FullStack. With the rise of Data Science and Machine…
Training and validation losses are important since training loss is used to recalculate the neuron network weights for better predictions. Ideally when you have models…
I am currently the Open-Source Science Director, IBM Research. I started at IBM as a Quantum Technical Ecosystem Community Lead and then was the founding community lead for Accelerated Discovery, where I’ve started the Open-Source…
Its kind of an obvious statement, but its one that has to be made.
You see I’m an entrepreneur building an AI system right now and we’re finding ourselves building all our own data — ’cause our system wouldn’t work without it. But who wants…
For many of us, 2016 is short and full of intellectual exploration, many AI conferences, meet-ups, research fantasy, team discussions, and many more articles and news about Machine Learning, Deep Learning, Reinforcement Learning…
On the Google Brain and how it will reshape the firm. On the humans who train AI…
Globally there are more than 1.2 billion vehicles on the road. Nearly 1.3 million people die in road crashes…
I hate to be the bearer of bad news….but your data project is going to fail.
Earlier this morning I was reading about some of the recent developments related to AI tools in the sales world. I think the article focuses on the biggest pain point I see in the day to day of sales and CRM management — data overflow. However, I think that AI and…
There are three aspects that I will keep in mind to try making my learning efficient and enjoyable:
Feature selection is to extract relevant features for predictive models. It removes irrelevant features not only to improve model predicting but also to speed up model training.
Feature Selection != Dimension Reduction
Hello again!
So far we have decided what data should we use, how can we store it, how can we use it, what are our options in terms of algorithms… And now the most fun part! Trying algorithms on the data…
Traveling across India would be very inquisitive experience for anyone Believe me, Hindi isn’t the only language but well over 1500 different languages are spoken. You may end up encountering people of different languages/dialects for every hour. Yeah..! That’s true. But, in this digital age, you can…
