After some experience with online services for the creation of chatbots, I wanted to create a bot that I would…
For faster performance of linear methods, a common method is to train linear…
With the advent of AI, visual understanding has become increasingly relevant to…
Are you on quest to become a Data Scientist? Learn from people who have been through…
I write a newsletter for learners called Mighty Knowledge. Each new…
Too many people think that AI is the business solution to many problems that we are facing today.
There is probably a neural network for a large enough dataset that can help us make a decision to a problem and impact an user. But to use this…
Face recognition has evolved as one of the most widely used biometric in the recent times. Face recognition has…
Machine Learning opportunities can be sparse, so when you finally get invited…
In order to provide effective support for the interpretation and analysis of football games…
Our CEO Mathieu Lemay recently wrote an article on what various popular AI models see in…
Recently I have been reading the book called “The Prestige” by Christopher Priest and also saw the movie…
(Multi-Class image classification step by step guide part 3)
So in the previous story on transfer learning(Transfer Learning) there was a missing part to be covered before…
To understand what is Artificial Intelligence or AI we first need to be on the…
K-NN (K-Nearest Neighbors) is one of the simplest machine learning algorithm to understand intutively. It is used in both Classification and Regression task.
There are many methods for sentence representation. We have discussed 5 different ways of…
Few frameworks come close to the Hierarchies of Abstract Machines (HAMs) framework in elegance and power of expression. HAMs model hierarchies naturally by assuming there are machines making calls to each…
The prerequisite for understanding this article is, knowing what a Bernoulli…
Modern object and face detection methods use computationally expensive deep…
Cosmose is committed to revolutionizing the relationship between online ads and offline ROI by…
The Enron scandal was one of the biggest corporate fraud and bankruptcy sagas in history. By artificially manipulating corporate stock price, Enron’s executives and staff made millions of…
Hello guys! Do you know that during the first 2 months of summer, we released 9 updates. Relocated to a new…
今天寫的主題也是很久很久之前寫過理論介紹的主題了，Long-Short Term Memory 機的介紹文可以參考這裡。今天主要只是參（ㄓ ㄠˋ）考（ㄔ ㄠ ）Keras Documentation的範例，來寫一個簡單的LSTM例子而已。
Last time, we covered how Patom theory explains a method for human language acquisition. We then saw how the working…
By Vinit Sahni, Co-CEO Arkera
Recently, I was going through the book Compassionate Superintelligence AI 5.0 book written by Notable AI scientist Dr. Amit Ray. The book has crossed the boundaries of traditional AI books, and has taken AI to a new height and creating a new compassionate AI…
I recently made a Snow Day Calculator that predicts the chance of school based on the number of inches of snow, in a certain area, and how many days of school have been cancelled.
Summer of 2018. I recently graduated from all those online classes that were eating up most of my evenings. I…
If you are just got started in Machine Learning then you may have heard of these two terms often. And if not…
Player one, your game starts… now!
The AI hype is so pervasive that most senior executives at any enterprise have AI in their radar. Every…
Introduction
At Temy we’ve created the Tech Digest to share our views on what is happening in the…
Natural Language Processing (NLP) is a field of computer science that deals with applying linguistic and statistical algorithms to text in order to extract meaning in a way that is very similar to how the human brain understands language.
If I should send an email titled “You don hammer” (Nigerian pidgin slang for…
Spam filter is used in email systems to filter spam emails. One of the approach to implement spam filter is SVM (Support Vector Machine). Spam filter takes the content of the email as input and generate a yes/no result of spam.
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The blog is good to compare different programming language for Machine Learning. However, with our experience in different languages on machine learning, python seems to be one of the best options.
Is the hype surrounding the promise of Machine Learning merited or are we getting ahead of ourselves? Is artificial-intelligence no longer just for the digital-only business models of Amazon, Google, and Netflix? As a finance executive, what do you…
今天要來實作的主題是一個Autoencoder（自編碼機）。關於自編碼機的理論介紹可以參考之前的文章。
Machine learning is everywhere.It exists when Gmail suggests a smart reply to…
Interesting article. I agree with your point about asking for a PhD and experience is a way to try and people who have been pre-qualified, and think there’s definitely something to be said for hiring people for what they can do, not just on what they’ve done in the past. This isn’t exclusive to data science of course, but it seems as though a lot of…
“May I just ask one question… would anyone like any toast?”-Talkie Toaster (Red Dwarf)
A project pre-dating the birth of Half Machine is Seshn, an inertial measurement unit that can, using deep learning, identify the manoeuvres a…
Our strategy is filtering, which can be content-based and collaborative, and can be done by us and by algorithms.
The Bowery Capital blog has been filled with discussions that examined the shifting pawns on the chessboard that is the fight for AI supremacy. As a principal investor in the machine learning and artificial intelligence (AI) ecosystems, we are always…
Raise your hand if you know how many zettabytes in a yottabyte? (correct answer is…
Business process automation is what’s trending in the business world today and to be more specific, robotic process automation (RFA). With robotic process automation, companies are…
The first mover advantage is which a company obtains by being the first to develop and market a product. Being first enables a company to obtain many prime advantages that strengthen its position in the marketplace. For example, a first mover often gains exclusive agreements with…
This is my first post on deep learning. It aims to understand the nuances of deep learning, how it emerged into existence. After which we will be discussing various types.
Deep Learning — introduction
Hi Arthur,
Thanks for a great post. One noob question: do you ever expect the Q-values to converge to their optimal values? I’m assuming that in general problems you don’t; but I thought with the frozen lake, since the environment is trivial, that you would see cleanly converging Q value. I ran for up ~10⁶ episodes, but…
Hello to all our readers,
At the end of an inspiring three weeks at AI4ALL, a summer program at Stanford University where we were able to delve deeper into the world of artificial intelligence and machine learning, we found ourselves fascinated by this new field.
