I’m from Brazil and many people of all world get in touch with me to ask for tips to learn or get a vacant job in the area of…
A lot of unstructured data is available on the internet. Once gathered and put into…
A Markov process is a stochastic process that satisfies Markov Property. Markov process…
A review of 22 machine learning libraries to help you choose which one might be right for your pipeline.
Alexander Allen and Adithya Balaji
Research scholars and Scientists often use MatLab and Octave in the fields of Communications and for processing space images , DNA Analysis , Image processing to find Cancers and Tumors.
When we worked on Content Cues, one of Zendesk’s machine learning products, we encountered the scalability challenge of having to build up to 50k machine learning (ML) models daily. Yes, 50K…
Our second project at Metis was called Project Luther and it was about web scraping and linear regression.
I’m a huge basketball fan so my mind immediately tried to figure out how I could incorporate the sport with the project. After several…
Using unsupervised clustering to create training data for machine learning models
Natural language processing is a branch of computer science and artificial intelligence that is concerned with the processes by which computers ‘understand’ human natural language. It’s ultimate objective is to seamlessly blur the gap between human communication and computer…
Github source code examples can be founded here:
https://github.com/MohamedFawz…
The massive surge in AI and the buzz surrounding it sometimes makes it…
I went to Stockholm to ICML (10–15th July) and understood academese, so you don’t have to! Domain…
Although, we won’t be using distributed data in this article, we’ll be building a linear regression model using Python, Spark and MLlib so that we can have an intuition for machine learning…
The following is an edited transcript of a fireside chat with Harmony founder, Stephen Tse, led by Zi Wang on August 8, 2018.
“Life is really simple, but we insist on making it complicated.” ― Confucius
When I had started to learn about Machine Learning, Deep Learning, and Neural Networks, It was like finding a beam of light in a…
By Jeremy Howard, Chief Scientific Officer, doc.ai
Creating a good dataset that can be used for teaching machines about what type of content a user is interested in.
Just in case you didn’t have a childhood and haven’t ever visited a doctor’s office, Where’s Waldo? — or Where’s Wally? for you Brits — is a series of puzzle books made for kids. The entire point of the puzzles is to find Waldo, who always wears red and white…
BotSharp is an open source AI chatbot platform builder’s framework, it’s not only a bot…
At Wearable Devices we are building the next big thing in human-machine interfaces. So what does this have to do with deep learning and biopotentials? Biopotentials are electric potentials (typically on a…
While the electronic health records(EHR) is widely adopted, as an important part of EHR , the volume of clinical time series data is also skyrocketing ,it has been big enough for the academic to explore with machine…
Amazon is one of the biggest players in the eCommerce industry with a monstrous consumer…
Recent news from the AI department: we have created the first working application with our…
We’ll give you $1,000 to start building the next Snapchat. Seriously.
Yes, automated feature engineering is a technique that’s only increasing in importance! Definitely try out Featuretools: it’s free, easy-to-use, and there are no other libraries with the same capabilities.
There are quite a few examples of how to use Featuretools on GitHub in addition to all the notebooks for this project. If you need any help, feel free to reach out!
Hey Guys, If you are scrolling this article then clearly you must be a Deep learning admirer. I reckon most of you would be familiar with the infamous Stochastic Gradient Descent loss minimization algorithm.One of the major drawbacks of the above mentioned…
Machines need training data to understand the world- which makes Training data the primary requirement for any Machine Learning Model. Our Model’s efficiency relies heavily on the quality and information provided…
So, it’s 2018 and the word is spread about Data boom. There are Tech Giants like Facebook, Amazon, and Google constantly working in the field of Machine learning and Data science.
In this article performance of different neural network architectures on BabyAI Dataset, for classifying image of shapes into one of three(ellipse, rectangle and triangle) classes, will be explored. All codes for this serious are found…
It’s not news that Google’s committed to AI. We probably all know that they use it to power search, and to do clever things like cool their data centers more efficiently in order to help save the planet. And many of us use voice to dictate emails, with…
As a computer science freshman one of the first things you learn is to KISS. This is because software tends to get extremely complex incredibly quickly. Most engineers, especially those who build large systems know this and they KISS. Personally over the years the best…
Hi Joe, nice article and thank you. I happen to believe that Machine Learning is indeed one of the most funcamental innovations we’re seeing now. I’m fairly convinced that, especially with complex combined effects with other innovations such as blockchain and quantum computer, the future is going to look much different for it.
Technologies and fields like Internet of Things and Artificial Intelligence existed a few decades ago since the 70’s but didn’t really become a buzz word until recently when out of a sudden everyone started talking about it and making movies and mind-blowing series about it…
Machine Learning and Deep Learning
One of the applications of Artificial Intelligence (AI) is Machine learning that provides systems the ability to automatically learn and develop from experience without being unambiguously…
The commercial real estate industry is getting bombarded with new tech platforms that use machine learning, predictive analytics and artificial intelligence. The supply of new software claiming to use AI to underwrite real estate…
Object segmentation is computer vision speak for “draw a bounding box around an object”. What it really means is separating the background from the foreground (the object).
If you’re new to computer vision, you’re going to think this is the easiest problem in the…
A poor functional outcome of stroke patients may be predicted by early signs on CT and MRI. Radiology exams carried out within 6 hours after stroke onset can contain important insights supporting the…
As a surge of developments in the translation industry have recently occurred, so…
So I have been doing some research about artificial intelligence and the impact in health for different purposes and I bumped into a specific term several times… Deep Learning (DL).
I’m in love with food, on a very personal level. I don’t cook with a large amount of variety, necessarily, but I cook with gusto, passionately attacking whichever dish happens to strike me: tacos…
Spark Summit Europe took place in Brussels, Belgium just about a week ago. I had a pleasure to be there…
AI and Stochastic optimization part 1
Last week, we did a deep dive into the high level properties that go into building a robot, from deciding whether it would be consumer or business-focused, to creating it on a voice or text platform. Just as important as deciding on the building blocks of how…
A quem diga que estamos vivendo a 4° revolução industrial e a palavra de ordem do momento é…
At early ages, we think of life in the way our eyes get to see it. We look at the simplicity of relations, social dynamics, teacher to student relation, or any superior to inferior relation. We think we can just keep everything under control…
Activation function is at the core of neural network. It provides non-liner capability so that neural network can be a universal function approximator.
The mostly talked activation function in deep learning courses is sigmoid function. The output of this function is ranged…
The tutorial is provided in notebook viewer’s mode.
My YouTube homepage challenged me. There was a video from Siraj Raval daring me to learn about machine learning. “Machine learning” is one of those phrases that you always hear in the news or in the tagline of a startup looking for venture funding. I…
About NPD Meet:Divum’s New Product Developers Meet is all about sharing & learning best practices for building new products grounds up for startups & enterprises in the current world scenarios. We aim to bring various industry experts from Google, Amazon…
Excellent article Etienne. Would like to point you to a slightly different ML technology helping traditional fundamental investors that is both predictive on price movement via neural networks and deep learning (with +78% validity on over 8000 stock calls to date), but also uses NLP to explain the thesis in an articulated cogent these- essentially an…
Artificial Intelligence:
Why AI is important?
The exponential growths in the capabilities of machines or computers to perform…
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