I can’t wait to start Udacity’s Self Driving Engineer course — but fortunately there is already so much stuff to do in advance. Sebastian Thrun created the brilliant AI for Robotics course, or there is also an exciting Introduction to CV course to…
This is continuation of my earlier article Coding K-Nearest Neighbors Machine Learning Algorithm in Python as part of Python Series. K-Nearest Neighbors is an instance-based nonparametric algorithm that…
Standing at the end of 2016, and after eight weeks of our current Zeroth.AI cohort have passed, we’re now ready to take on…
I am republishing this piece of commentary, edited, from my A.I. newsletter.
In the past 18 months, I’ve done 16 angel investments — 11 of which are in the A.I./ML/Robotics space. I’ve learned a lot, and have started to form some early theses…
Natural Language Processing (NLP) is a subsidiary of artificial intelligence that has drastically modified the…
As I mentioned in the manifesto article, one of our key communication & education channels are the webinars. They focus on topics our members are experts in and are condensed in ~1h fast-paced, interactive & information packed…
The original version of this article was published as “HBO’s Westworld artificial…
If someone has to say in 2010 that machine will be taking important decision for me in 2017 I would have felt the guy must have got overdose of Matrix . But past few months more I am seeing pattern more I believe that AI/Machine learning are indeed effecting the…
The content borrows heavily from lectures of Prof. Dipti Misra Sharma at IASNLP 2016 held at LTRC, Hyderabad, in collaboration with Google and IIIT. I was a participant at the advanced summer school, which dealt with varied topics in computational…
Developed by Andreas Refsgaard and Gene Kogan at this year’s Nabi AI Hackathon in Seoul, Doodle Tunes is a project that turns drawings of instruments into actual music through machine learning.
Lao Tzu, 6th century Chinese philosopher, spoke truth that should dissuade me from what I’m about to share: “Those who have knowledge, don’t predict. Those who predict, don’t have knowledge.” Nils Bohr, Nobel Prize-winning Physicist, dogpiled…
Have really enjoyed all your articles on Machine Learning and Deep Learning. It has enhanced my knowledge significantly especially because of the simplicity of your writing and easy to follow diagrams and examples. Can’t wait for lesson #7.
In this week we did more experiments. And we have same results, yay!
First of all, choosing a topic count and other parameters are such a hard decision. Because all of them differs according to the review…
Linear regression
Linear regression is a technique widely used in statistics. It is an approach to model a relationship between a dependent variable (y) and explanatory variable (x). Linear regression technique is also widely used in…
Helical Insight an Open Source Business Intelligence (BI) tool which supports Ingres Database. In this article, we will cover in detail, how you can connect, analyze, share and use other features from Ingres using Helical Insight Business Intelligence…
In this week’s post: Deep learning, shipping, git, mental models, states of water and consuming news.
Each Friday I share some of the best things I encounter, from the internet mostly but also from real life! Hopefully what I find interesting will also be interesting…
Do you know the basic technology trends for 2017?
Millenial Ed Tech Thoughts #2
~500 words and a few links to articles from my perspective as a young professional working in Ed Tech.
My hope for this letter is that it will encourage discussion. I encourage everyone who reads it to write…
Hi Everyone
Today we are going to talk about the SVR algorithms. Immediately created our datasets.We designed what dataset to use in…
Why Type+Antitype?
Because. Not-Because. AND-BECAUSE. A type is only a type once it is specified, instantiated, defined. Until then, it is an amplitude of n superimposed probabilities between 0 and 1. N number of such numbers at any given time, a true noise field, a regular lattice with probabilities at every point, between…
Thank you for this article, Sandra. I wanted to get your thoughts on framing these advancements as “victories over humans”? I understand the nature of the tests has pitched man against algorithm, but I think it’s important to see our relationship with AI or ML as just that: a relationship. And in any healthy, functional relationship there aren’t…
The funny thing, really, is that is so obvious that AI is becoming far better than humans at everything under the sun, including horrible, evil weapons-of-war changes, and it’s very likely going to end up extinguishing us altogether, even at the same time as truly marvelous AI…
