Makine öğrenimi ile alâkalı çeşitli kaynaklardan birçok teorik bilgi edinip yine de neyi…
The tension between long-term planning and short-term flexibility is everywhere, including data science…
This is Part 2 OpenCV tutorial where we will create a program that detects a face from your camera live stream and it is upgraded version from Part 1 OpenCV tutorial.
One of the main challenges for any data-driven company is how to reconcile longer-term, less flexible data science development with rapid iteration and cycles of learning in agile software development.
The main challenges to a perfect Neural Turing Machine model.
TL; DR: Neural Turing Machines are a new RNN architecture based on the human memory, and though they show promising results, they still suffer…
Although artificial intelligence has been around since the 1950s yet it is definitely not late to get started…no matter if you are a developer or an enterprise manager. Actually, given the (major) developments in the past few years, you couldn’t be in a better time to get started…
Accuracy is not the only model metric that needs to be considered. There are two other metrics — precision…
Well Batch normalization was always in the air but I didn’t get much opportunity to try…
Determining how to best secure data and preserve privacy is tough. If you are a data scientist working with potentially sensitive data, it means determining what data you can use and how to best protect it. This can lead you to…
When I decided to work on Sentiment Analysis, Amazon fine food review (Kaggle project) was quite interesting , as it gives us a good introduction to Text Analysis. I have downloaded…
tl;dr: I got locked out of @timpastoor on Twitter because I retweeted a Verified (yet FAKE) account with the name “Donald J Trump” who was shilling some ETH scam, which triggered…
Face recognition technology has always been a concept that lived in fictional worlds, whether…
Simply put, Neural Network is a Math function of nonlinear result. That is, it gets a set of values and interpolate the next value in a prediction manner. For this to be possible, it is trained with a set of values and historical data already gathered. The values of…
The problem of video classification is about identifying the video category of a given video. Video classification is one of the difficult problem in computer vision…
Years ago I was living in Mexico City and was a regular user of the city bike…
El Machine Learning (También llamado Aprendizaje Automático o Aprendizaje Máquina en castellano) se define como un subcampo de la informática y una rama de la inteligencia artificial. Su principal objetivo es dotar a un ordenador de una capacidad propia de los…
Differentiating between a fad and a trend could prove to be a major challenge for company executives and other decision-makers in an organization. The crucial determinant of this process is the identification of customer needs. Using analogous historic data as inputs…
This post aims to provide an example of how to train an ML Model using Spark, serialise the model using MLeap and serving the model using Spring Boot.
The source code which we will walk through is available in GitLab.
The Peltarion team just finished an exhilarating week at the 35th International…
At the point of writing, it was the day before the last week of my Data Science internship at Essilor. And now, sitting before the laptop screen, reflecting on the learning journey for the past few months is nothing but…
When we want to do sentiment analysis, first target is always to do classification between negative and positive sentences. We all use various machine learning algorithms and deep learning models to help machine learn to differentiate between negative and positive sentences.
With my few years of experience in training and using various available open source model networks, I have learned the hard way of setting various hyper parameters and using them efficiently. I have lost track of sources from where I have collected the info, but, this…
Traduction par Guillaume Ryder du texte original de Cassie Kozyrkov
Note: this was originally posted in the source{d} blog.
Last week we had the honor of participating at MSR’18, where two of the members of our team, Vadim Markovtsev and Waren Long, presented the research paper they wrote on our latest dataset: Public…
Public
Today’s world of big data requires technologies such as machine learning to help process and analyze…
Written by Hunnar Ramwani
Why your business needs a Google Action App and how to create one
Click to enlarge the infographic.
There are many great SaaS products and tools available for developers and data scientists. The best ones integrate with your existing favorite cloud computing service for maximum flexibility. In the case of…
“El sabio no dice nunca todo lo que piensa, pero siempre piensa todo lo que dice” -Aristóteles.
I wrote this story on Aug 7, 2017 on the IBM Blog …
Deep learning has taken the world by storm in the last four years, powering hundreds of consumer web and mobile applications that we use every day. But the extremely long training…
Many kaggle competitors use Xgboost model to train their data on and it has outperformed every other model. So,on what…
In this month’s Inter[action], Chris Jenkins, Head of Mobile at Tribal Worldwide, talks iOS 12, Machine Learning, Augmented Reality and passwords.
Every June, Apple’s developer conference WWDC takes place. There’s always a big keynote presentation…
Someone, pop the bubbly. After fifteen years, the American Medical Association (AMA) has released an official statement on AI — a technology that has been gaining steam since 2005. Healthcare AI, once dismissed as a…
Below is a list of Artificial Intelligence and Machine Learning start ups launched in…
I’m sure we’ve all heard of Elon Musk, founder of Tesla, SpaceX, Boring Company…
Thank you for putting together this great collection of neuroscience libraries and resources for JavaScript. Neuroscience can be somewhat overwhelming for newcomers — a lot of different terms and techniques, and some very common misconceptions. I experienced this first-hand when I first got into this field, so after building the muse-js library, I…
After the technical halfway update blog of Coner last week, and it’s introduction blog the week before, I would like to take this week’s Coner blog post as an opportunity to illustrate the bigger picture of why human feedback on…
Thank you for asking Sahithya Kavya. Appreciated.
Excepted for “Descriptive and Inferential Statistics” section the links for the other topics have overlaps. The reason to provide these links is to give each person a choice to be able to select whatever works for them.
Artificial Intelligence (AI) has become an industry buzzword. It’s at the top of the hype cycle right now. As a result, sales and marketing people are using “AI” in sales pitches all the time. You see “AI” everywhere in the ad copy for all…
This was exactly about 7 months back when I was playing and learning on how AI is helping the old processes getting a new shape.
The idea of using artificial intelligence using machine learning instigated another thought of how it can…
Minority Report has become a favorite reference point ,and there’s a good reason for that. The 2002, Tom Cruise…
Rhodinet
AI Saturdays Cycle 2 started on 1 August 2018. participants applications are still open. Apply here. To apply as an ambassador click here.
I’ve been working with machine learning and data science on some level for over ten years in Silicon Valley and elsewhere. I believe too much of the tech industry is focused on manipulating and…
I wrote this blog on Jun 7, 2018 on IBM’s blog …
“The wise man never says everything he thinks, but he always thinks everything he says.” — Aristotle.
By Steve Xu
If you are woabout the quality of music that AI can create, don’t.
I wrote this blog on March 25, 2014 on NVIDIA’s blog.
Adobe, Baidu, Netflix, Yandex. Some of the biggest names in social media and cloud computing use NVIDIA…
This article was originally posted on ScoreNYC
Early this year IBM announced Deep Learning as a Service within Watson Studio. The core of this service is available as open source and can be run on Kubernetes clusters. This allows developers and data scientists to train models with confidential data on-premises, for…
Now i don’t want to tell the same stuff that is all buzzing around about importance of Data Science and Machine Learning…
So if you have somehow managed to stumble upon this article then care to read it till the end as I will try to keep it as short as possible. Okay, so you let’s get directly to business, you want to learn machine learning. First question, What all should you know before you…
