I’m a physicist who works at a YC startup. Our job is to help new grads get hired into their first machine learning roles.
It’s hard to get hired into your first machine learning role. That means I get…
Yep, you read the title correctly. While a few friends of mine are vegans, none of them knew anything about…
For the past year, I’ve been working on implementing well known model architectures and…
Update: The Tensorflow 2.0 beta is out, and it uses Eager Execution by default. Much of the advice in this article is only relevant for 1.x versions of Tensorflow. I recommend moving to 2.0! :)
Finance can be defined as the science of money management, a discipline almost as old as civilization…
Adapted from my paper for the Ethics and Governance of AI class at the MIT Media Lab. Written for those with concerns about bias in artificial intelligence (AI) systems but don’t have the relevant technical…
Voice-activated applications used to be the stuff that science…
Written with Simon Hudson
Anyone in the industry or going to prominent Artificial Intelligence conferences can tell you that a gender imbalance exists, but we felt more rigorous research was…
Weekend of a Data Scientist is series of articles with some cool…
A Generative Adversarial Network (GAN) is a pair of learning engines that learn from each other. A useful analogy…
In machine learning, we often think that how to use data to make predictions on…
Before we dive into the “How”, let’s turn our attention to the “Why”.
Where is the Dataset ? From Kaggle~
The data consists total of 10222 dog images with 120 different breeds, each directory…
Александр — AI, ML ресерчер, блоггер, предприниматель. Работает над AI в медицинской и финансовой сферах.
By three methods we may…
In the earlier post I looked at the theory behind clustering and K-means. In this post I will show you with a practical example how the technique can be applied to a real life problem.
In this post, I try to explain the theory behind the K-means clustering technique.
The formal definition: Customer segmentation is the practice of dividing a customer base into groups of individuals that are similar in specific ways relevant…
NOTE: The feature described below is scheduled to be available in version 1.0.0.
ONNC serves as a bridge between AI frameworks and the underlying accelerator hardware. Like GCC in the traditional compiler area, ONNC intends to…
The title of this story is the title of my master thesis!So I started a series of stories to share my experiences through this thesis. and I will write my day to day activities from scratch to the…
Machine Learning, yani Makine Öğrenimi, havalı bir terim olarak teknolojiyi yakından…
This is a continuation of tutorial part 1.
The disadvantage of template based matching algorithm is that we consider only correlation which may be not sufficient for recognition.
For anyone that trades on the market (stocks/crypto/forex etc.) you know that information can and…
Rand McNally maps in your car, the corded landline phone on your kitchen wall, dial up modems, brick sized car phones, 36 exposure camera film. If you think about it, these were all ubiquitous less than two decades ago. Today you would be hard-pressed to find a single one of these.
For those of you who have not read my recent post on if we can forecast cryptocurriences, I recommend reading it for a better understanding. and after it was all done it contains about 500 lines of code. I also noticed that the predictions the…
Machine vision, or computer vision, is a popular research topic in artificial intelligence (AI) that has been around for many years. However, machine vision still remains as one of the biggest challenges in AI. In this…
written by Stephen Wilson
It is not too late to get into Machine Learning, but it can be quite daunting to decide how to start. There is no single best point to start your journey, and you will need to consider a few factors: the level of your existing knowledge and the practicality of your…
“I like solitude. It is when you truly hear and speak your natural, unadulterated mind…
There are a lot of articles about how to use Python for solving Machine Learning problems, with this post I start series of materials on how to use modern C++ for solving same problems and which libraries can be used. I assume that readers are already familiar with…
Two different kinds of AI systems
We usually see an AI/ML system built in two different ways. In industry, people usually start with knowledge-based approach, such as using all kind of dictionaries combined with heuristics…
I spent this week with some of my investors and advisors in the Bay Area. During these meetings we evaluated our successes and shortcomings, and on two occasions, I was asked “How do you deal with rejection”, and…
Earlier this year, another successful edition of the Open Data Science Conference occurred in…
Continued from Part 1.
Machine vision, or computer vision, is a popular research topic in artificial intelligence (AI) that has been around for many years. However, machine vision still remains as one…
Moremmr.com team has already revealed one of the new features before, that could tell you about which one of the PRO-players you play like. And now…
The ability to execute blocks of code stage-by-stage while preserving workspace…
Full article at https://arxiv.org/abs/1808.05325
These days , every now then you may get to hear the heavy buzzwords like Data Science , Machine Learning…
The concept of “Fake News” was virtually unheard of only a couple years ago. But now, with social…
블록체인 전문 이정훈 기자님이 AI Network를 소개해주셨습니다.
machine learning-1
Thank you for this awesome list! I’ll link this article in my blog post. :D
This article originally appeared on the Workato blog.
Заметки по статье Learning Longer Memory in Recurrent Neural Networks.
Статья 2014 года, реализация от facebook на torch https://github.com/facebookarchive/SCRNNs.
5 Surefire Steps To Alleviate Call Center Pain Points
Fostering an inclusive company culture is often the key ingredient in many company’s success. Following our previous blog post on Diversity and Inclusion, we are so thrilled to announce more companies and individuals who will be joining us on the biggest Python Conference in the Bay…
By Charlotte Kng
Course 8 — St Stephen’s House — 16th August
We started off our day today with a Global Solutions Project Workshop! Students were split into groups and challenged with the task of designing their own Islands. With particular attention to trade, community and political structures, our students pondered what makes a well…
www.mattdata.com — Learning Data Science
Learning! Apparently computers can do it now. Kind of.
Well, not really.
Machine Learning is another slanting field nowadays and is a use of man-made reasoning. It utilizes certain factual calculations to influence PCs to work surely without being expressly customized. The calculations get an information esteem and anticipate a yield for this by the utilization of…
