This is a English translation of the story written…
Ever since diving into Natural Language Processing (NLP), I’ve always wanted to write something rather introductory about it at a high level, to provide some structure in my understanding, and to give another perspective of the area — in…
Texture classification is an important area of research in computer vision and pattern recognition. The texture based descriptors have been used for object, scene and face classification. Among a number of approaches, Local Binary Pattern (LBP) (Ojala et al., 2002) has gained a…
A computer program is said to learn from experience E with respect to some class of…
AI is really a major game changer. Applications of AI are huge and it’s scope in the field of healthcare is vast. Advanced AI tools can assist doctors and lab technicians to diagnose diseases with better accuracy, for…
About a year ago, I finally sucked it up and committed to the decision that the…
Перевод статьи Tirthajyoti Sarkar: “Why you should start using .npy file more often…”
В науке о данных требуются быстрые вычисления и трансформация данных. Родные NumPy объекты в Python имеют такое преимущество…
When our brains form analogies, they are doing something special — something missing from existing neural…
手把手的機器學習
Can Machine Learning Help Us Find The Perfect Cup Of Coffee?
We all have that friend, the obnoxious one, who thinks they’re better than anyone else. They despise Starbucks, make their coffee on a scale, and loudly…
Signal Processing means processing any kind of signal whether it is analog or digital in such a manner by which it can be interpreted by any kind of computer. For instance, sound wave is also a type of signal. When a sound wave is heard by a device , the…
We have been collaborating with a dermatologist on a research project about itch cure. This article is focusing on the technical side, so I won’t go into details about the medical theory. In short…
This article explains how to predict wine quality based on variety of features. The dataset for the analysis was downloaded from here.
The wine dataset contains below features:
Input variables (based on physicochemical tests): fixed…
It is much easier to identify a painting than painting one. In Deep Learning, classification is about identify objects. GAN is about draw me a portrait or compose a symphony. That is hard but interesting, and why it becomes one of the highly researched area.
This article briefly summaries the paper “Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments” which got published in CVPR 2018.
Machine learning is growing day by day and new algorithms are discovered each day. In this…
Read this nice paper from Google, focused on applying Attention based models to speaker identification. Here are my notes from the paper.
I recently came across Tom Mitchell’s comparison of Naive Bayes and Logistic Regression. Under some…
As we all know Deep Learning, Artificial Intelligence etc are the hot topics in the tech world. Almost all companies have started using these methodologies to enhance and grow. Here is a short theoretical article for Deep Learning.
We are close to the finish line in our end of summer 30 Partners in 30 Days series! Today we unveil #24 of 30 — Swish Labs! They are a technology lab that works with many Fortune 500 companies, and will soon be adding Hydro and Ion to their repertoire.
Google brain recently published a paper titled Adversarial Reprogramming of Neural Networks which…
I have already published three stories about how to solve the problem in life using machine learning technology.
It is possible that ML and AI are the branches of Science most sensitive to Business, Advertising, and Marketing. In fact, the applicability to the real world of real problems, of the real economy, very quickly, that…
Around this time last year, we at the Swisscom AI Research Lab were announcing our first publication at an EMNLP 2017 workshop.
We’ve come a long way since then, with six new publications this year, seeing our research…
Long Post Alert!
This Wednesday at 1pm, my team at Invector Labs will be hosting a new deep learning webinar: “10 Things I Wish I Knew Before Scaling Deep Learning Solutions” . We are planning to discuss some practical…
This is a very nice overview of computer vision and convolutional neural networks. You’ve covered most of the important points to get started and the example at the beginning is a nice way to illustrate the complexity of what computer vision is trying to achieve, as ultimately we would like it to be at human level. However, the conclusion almost…
A guide to learn Machine Learning by implementing Machine Learning
In this first article we’ll tackle various important concepts of Machine Learning through the example of a simple Linear Regression. Like mentioned before, we will be working…
Yesterday I learned about the loss and confusion matrixes. They showed the accuracy…
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PCIFP, how do I explain it? It’s pretty old school, let me frame-by-frame it.
My first 100 days of Commitment…
I’m planning to take the Machine learning course offered by Stanford University on Coursera which is thought by Prof. Andrew Ng.
I want to take up this just to get more clarity on Machine Learning. Machine learning is something very new to me, i developed this…
