In this blog, I’ll show in 4 steps on how to use a set of pictures (superhero), from…
My personal notes from fast.ai course. These notes will continue to be updated and improved as I…
“The main lesson of thirty-five years of AI research is that the hard problems are easy and…
Great answer from duhaime:
https://stackoverflow.com/questions/29441943/what-is-the-theorical-foundation-for-scikit-learn-dummy-classifier
Setup Jupyter Notebook on AWS for Fast.AI
Two configuration options are presented.
It’s been 4 months since Fasal is live and serving the farmers of this nation. We are running 6 pilots across 2 states of India and focusing on Vineyards and Horticulture for now. Our first pilot customer who believed in us is no other than Mr. Manjunath, VP of Grover Zampa vineyards, a…
Vantage Point Tree is very old algorithm for making fast search within tree. Off course nowadays we have so many tools for working with big data, but sometimes we face with problem where big data storage…
Setup EC2 instance for Fast.AI course (part 1 version 2)
Login to aws console
This is a guide to create a simple entity (noun) extraction and categorizing REST service from a given text content using machine learning techniques.
This tutorial focuses on building and serializing Keras models. You will be creating a Keras model by loading a data set, preprocessing input data, building a Sequential Keras model and compiling the model with a training configuration. Afterwards, you train your…
Time for #weeklypython yay!
Today I will talk a little bit about .feature_importances
.feature_importances
Where does it come from?It comes from scikit-learn, which is a free machine learning library for Python. Working with data science problems you will use…
Software has been eating the world over the past few decades and it is now coming for finance, law and the public sector. We are a group of researchers and institutional, long term orientated investors pursuing a world at social, economic and environmental equilibrium. We intend to share…
In this post we will try to generate KLAY BBJ like song using a Recurrent Neural Network.
in the age of the capital & state.
This is the promised sequel to my not so enthusiastically received first story. It was titled Are we really discussing the AI era’s perils properly?
This is a guide to create a simple image classification REST service using well trained…
I recently listened to a radio talk-show host interview the technology editor for the…
The purpose of this blog is to provide an understanding of what is Reinforcement Learning at…
In this post we will discover how to use Keras to create a Deep Neural Network in few lines. Yes a “Deep neural Network” that buzzy topic that everyone is talking about these days.
Other Thoughts on Blockchain-based ML Marketplaces…
Fred Ehrsam, I would frame the problem differently. The need is not just for creating most powerful artificial intelligences, it is about redesigning the marketplace that can nurture such an ecosystem. The marketplace cannot be taken for granted. A poorly designed…
Hi and good morning! (or evening!)
I am a professor/researcher in our local college teaching students AI.
I ran across this post in an email blast by Medium and I thought I’d try it out. Is DOCKER essential to this? I have never used it before. Here’s my environment:
in the age of the symbiosis.
This is the last story in a series of three. The first story was dedicated to a critique of two mainstream positions on the issue of the perils of AI/ML. In the second, I proposed a third perspective which enhanced the domain of the discussion in…
Labelled eye retinal OCT and chest X-Ray image datasets for medical AI.
Dataset of validated OCT and Chest X-Ray images described and analyzed in “Deep learning-based classification and referral of treatable human diseases”. The OCT Images are split into a training set and a testing set of independent patients. OCT Images…
Hi Jacob
Thanks for the insightful response. So we did build a UI which allowed different models to use different data sets. The post got too long and as you might have noticed I did not add too many details in the last few learnings. But as you have taken the time to write a response I will edit them too. Specifically for…
Alex Davies has written a very good article over on Wired.com about “The Unavoidable Folly of Making Humans…
Note: I wrote this part back in December 2017 for ECFR’s end of year publication on “Opportunities amid disorder: Europe and the world in 2018” (http://www.ecfr.eu/publications/summary/opportunities_amid_disorder_europe_and_the_world_in_2018). While contributing authors were mentioned…
When you see the reminiscences of history you can find beautiful monuments and art. Have you wondered why…
It has become increasingly fashionable for service-oriented businesses to create business models that remove the need for the business to own much of the equipment and goods that enable their service. The largest taxi service in the world owns no cars and…
The recent accident involving the self-driving car in Arizona made me wonder a bit about the distributional consequences of machine learning and the usual “right answer” bias that often accompanies such endeavors.
A brief while ago I had the chance of talking to Andy Byrne, CEO of Clari, about how AI can help making sales organizations more effective and efficient. Clari is a vendor of Opportunity-to-Close solutions. G2Crowd lists the company amongst the leaders of its…
Take a look around you right now if you can safely do so. How many automated processes do…
Recommendation engines are a great tool for established companies to enhance product…
We continue learning the fundamentals of Extreme Value Distribution in Lesson 58. How to derive the cdf and pdf and why we need a non-degenerate function, the domain of attraction for extremes.
The technology sector is in a maelstrom.
