Audio classification is about classifying an audio segment into a particular class. Audio classification is a very well know problem in speech community. Audio classification is also called…
This article is targeted at people who found it difficult to grasp the original paper. Follow me till the end, and I assure you will atleast get a sense of what is happening underneath the revolutionary machine learning model. Let's get started.
Perfect lung cancer detections in a $1 million ML competition with an ingenious hack — how it was done
I find Machine learning competitions exciting and addicting. Competitors from around the world fight for prize money and prestige on a grand challenge by applying ingenious and oftentimes state-of-the-art methods against…
Cross-validation is a technique used to measure and evaluate machine learning models performance. During training we create a number of partitions of the training set and train/test on different subsets of those…
The automated curation of music playlists has become a significant problem in the last decade with the rise of colossal streaming platforms. Current state-of-the-art recommender systems depend on the…
Structured data problems are very common in machine learning. A good example is…
Using Deep Learning models for image classification.
Over time, the NeuroNuggets and Neuromation Research series will serve to introduce all AI researchers whom we have collected in our wonderful research team. Today, we are presenting…
The story so far…
In machine learning, the quality of input data often supercedes the model architecture and training regimen. A large…
Earlier this year DeepCode AG publicly launched its AI Code Review service, with a free offer for Open Source repositories in GitHub. The service utilizes DeepCode’s…
class SeperableConv2D(nn.Module): def __init__(self, in_dims, out_dims, kernel_size=3, stride=1, padding=0, dilation=1, bias=False): super(SeperableConv2D…
Our new series labelled “DApp of the Week” regularly features the most innovative applications built on…
People afraid what they do not…
The AWS Machine Learning blog has a new post describing how to use MTurk with Amazon SageMaker to gather annotations and train a machine learning model.
This blog covers the basics of Machine Learning and related terms.
Let us have a look at the first ever definition of Machine Learning:
“Field of study that gives…
Imagine a future where you are not stuck in traffic because machines are driving the…
For your user to understand your model it’s not enough for it to be ‘explainable’ — you need to provide the…
I jumped into the field of machine learning 18 months ago. It was overwhelming at first: Where to start, what to read. And the math, the math. I wanted to get a feel for the field, but how do you do it?
This post is a part of our series exploring different options for long-term demand…
As part of our move to make Wit easier to use programmatically, we are releasing a new API endpoint today. The engineering team has been working on rewriting the machine learning training…
In Part 1 of Building Intelligent Machines, we discussed that we can define Intelligence as…
A little over eighteen months ago, I undertook an academic exercise to see if I could use deep online learning and state-of-the-art…
Yes, Hollywood was correct.
Every weekend I try to set myself a coding project. Sometimes it is a simple game, others a more complex app…
In part 2, we discussed human decision making and understood the principle of “Observe and…
For the last few weeks, are you getting bombarded with emails telling you that they have updated…
We are proud to release the beta of version 2 of Mycroft’s Mimic Text to Speech technology! Mimic is now a deep learning based…
This article is a joint affair of Armin Behjati and Bahram Mohammadpour
This project was done in March 2018
Originally published at www.skynettoday.com.
by Inbar Naor and Yoel Zeldes
Understanding what a model doesn’t know is important both from the practitioner’s perspective and for the end users of many different machine learning applications. In our previous blog post we…
Let’s start with the ending for a change ,
Machine Learning ≠ Artificial Intelligence
AI is great but before digging in what the AI is let me tell you what the ML is.
August 25 & 26 up to 100 open-minded data-aficionados, designers, developers, topic specialists, and above…
Examining the relationship between all variables using a correlation plot
To understand the relationship between strikes, takedowns, submissions, and passes across both winners and losers a…
This is going to be small but pretty informative post, covering everything you need to know what “linear Regression” in machine learning is!
List of terms that’ll you’ll be learning, I’ll explain each one thoroughly in this post! 😬
Que es autokeras y por que es un paso en la dirección correcta
Si lees la descripción de la librería Autokeras puede pensar que está frente a un engaño…
Microsoft provides a ton of artificial intelligence services through Azure that you can easily implement anywhere, and in this post, I will be talking about just one of them: the Content Moderator service.
今天要來實作的是一個簡單的卷積神經網路，採用的是[1]的範例，也基本上不會有太多修改。就只是添加一些周邊而已。
Read my article of “Detection of Willis Tower from Chicago Skyline” using Tensorflow Object Detection API at the link below.
(https://medium.com/@sriram.tutu/skyline-towers-detection-using-tensorflow-object-detection-api-step-by-step-guide-760a9e4c91fb)
I’ve been interested in Machine Learning for a few years now.
During my Computer Science undergraduate, the topic was the focus of my research thesis (How effective are supervised learning techniques in forecasting future…
Nos posts anteriores sobre o Dialogflow, eu expliquei como integrar essa ferramenta a um bot de modo que a conversa entre ele e o usuário fosse mais “humana”. O bot foi desenvolvido tanto para o Telegram quanto para o Facebook Mesenger. Porém, a…
This is sort of a public journal. Published draft, still updating.
Started July 2016. First part time intern hire while working full time. December 2016 First office, first full time intern hireFebruary 2017- First full…
https://medium.com/@sriram.tutu/skyline-towers-detection-using-tensorflow-object-detection-api-step-by-step-guide-760a9e4c91fb
Informative post, thank you! Python can be tricky sometimes, thus, if you need the help of experts, you should consider hiring Python programmers with deep tech knowledge & rich experience. Python development becomes easier with tech talents on board!
We are collaborating in a historical project with the Digital Humanities Hub group, at Lancaster…
Topics in machine learning can be categorized by these three axes
— Data
— Tasks i.e. type of knowledge we seek
— Algorithms
I am a data scientist, and as data scientists our job is to find information in data to help businesses take…
Speech is one of the things we consider deeply human: most of our interaction is based on it. So it’s no surprise that us humans have been trying to teach others to talk — be it animals or machines.
If we were to run a machine learning algorithm on what the latest technology trends…
Virtual reality has reached a breaking point in which every small step could set up the future of this technology. During the past years, we saw a recurring trend in the entire technology business: machine learning. Many…
