This article introduces the basics of machine learning theory, laying down the common concepts and techniques involved. This post is intended for the people…
Ruining He | Pinterest engineer, Pinterest Labs
Deep learning methods have achieved unprecedented performance on a broad range of machine learning and artificial…
By Sara Robinson, Developer Advocate
We often see transfer learning applied to computer vision models, but what about using it for text classification? Enter TensorFlow Hub, a…
Kaggle.com is one of the most popular websites amongst Data Scientists and Machine Learning…
Brazil is a nation of superlatives. It is one of the most biodiverse countries…
By Akil Hylton
Google Brain Software Engineer Martin Wicke says a preview version of TensorFlow 2.0…
TL;DR: If you like to iterate quickly, you can build simple ML models right from…
About 15 months ago, Descartes Labs entered beta to gather feedback from customers on our progress toward developing an advanced platform for global-scale…
This will be a quick story on how to install the ML-agent environment and run the 3DBall example of the unity ML-agents github repo. I wanted to start trying my hands at reinforcement learning and figured the ML-agents repo of Unity was a good place to start.
Traduzido por Thomas Chi do original por Cassie Kozyrkov
The goal of this article is to share some apples-to-apples comparisons of the relative cost of using various AWS instance types to do machine learning training in AWS.
For this experience we will use a well-known data set, Iris Dataset, which shows 4 fundamental characteristics of iris plants, showing 3 possible categories setosa…
Design thinking is defined as a human centric process that builds upon the deep understanding of the end users such as behaviours or tendencies to generate ideas or prototypes and to put out your innovative solution to the world. In future, every business should…
While goal-oriented dialog systems tend to be quite efficient, it is…
GAN of the Week is a series of notes about Generative Models, including GANs and Autoencoders…
In this article I will be giving a mathematical intuition of gradient descent and the reason behind moving in the direction opposite to the gradient.
I recently built an end-to-end training tool for gesture recognition using deep learning. You can view the code here and try the demo here.
India has a population of 1.21 billion of which 13.1 per cent is child population aged 0–6 years. In India the number of under-5 mortality rate and infant mortality rates are 49 and 42, respectively.
As I type into search boxes I’m always intrigued to see how they respond. Best…
David Stiff, CEO, Vault
Neste artigo vamos treinar um robô para explorar o ambiente com diversos obstáculos…
This blog post was co-authored by michael korens
Professor Henry Estrada works in the Computer Science department at Evergreen Valley College in San Jose. When he gave his…
By now, most recruiters realize that AI is going to bring some pretty massive changes to the…
Last night when I was riding the light rail home from work, I met a girl. She is olive…
What people commonly search for on Trade Me is flavoured by popular brand names…
So you’ve already done few Machine Learning projects & courses etc., and are just breaking into deep learning. One of the biggest problem you will face is that of training your deep learning models on GPU.
Before we understand what a Poisson distribution is, we should understand what a…
In this article, I’m going to help you enter this futuristic field called Artificial Intelligence (AI) and give you the necessary arsenal to pierce through any barrier.
The previous year was particularly important for the London and the UK VC market…
Today’s connected customers of digital service providers (DSPs) expect anytime, anywhere, and any device access to the products and services offered along with the highest level of service assurance. Service outages…
Shaloo Garg is the Head of Oracle’s Innovation and Global Startup Ecosystem, and a Global Advisor on Technology and Innovation for UN Women. Her keynote talk at WITS Southeast is “The Next Digital Frontier- Impact of AI &…
Welcome back to our blog!
Nowadays, Data Science and Machine Learning are the Buzz words in technology space being used everywhere. Do we understand what these words are really meant for? The term “Science” refers knowledge. The acquired knowledge can be used to solve a problem/set of problems…
My dad is an agile-minded septuagenarian. If he is not telling a story, then he is most likely developing one. He wraps his experiences in stories, catalogs these sroties and tags them well — all in his brain aiding rapid recall at a later time.
I’m particularly interested in the intersection of psycholinguistics and multi-agent, deep learning-based NLP, as I believe the best way to advance the state of AI and overcome the challenges of language is to look to ourselves for inspiration. Deep Learning opens our eyes to what goes on…
While joining Forsk bootcamps, participants has lot of queries. We have compiled all those queries and listing them in public domain.
1. What is Forsk Technologies?
When you set out to do Data Science, whatever your aim is, you follow steps of the scientific…
Today, we work for a particular problem statement, image localization. Image Localization basically means that we will look into a given image and not just say whether a stamp is available in the picture or not but also where it is, if available.
P. Domingos. A few useful things to know about machine learning. Communications of the ACM, 55(10):78–87, 2012.
This paper focuses on “the most mature and widely used” machine learning type…
Заметки для себя про статью Understanding the difficulty of training deep feedforward neural networks.
American director Woody Allen once said, “I don’t want to achieve immortality through my work. I…
Here’s a tutorial for basic classification. It classifies 70,000 image data into ten categories. Let’s assume each image is the ground truth — each image is _somehow_ generated a physical item from each category. If the assumption holds, then the algorithm is always…
머신러닝 공부를 처음 시작하며 복습용도로 블로그를 시작하려고 합니다. 책은 ‘An introduction to Statistical Learning'을 사용하고 있고, http://www-bcf.usc.edu/~gareth/ISL/ 에서 무료로 pdf파일 다운 가능합니다
머신러닝의 개요
Em um post anterior (se você ainda não leu, você pode não entender este post), eu demonstrei como criar um bot para o Telegram e integrar ao Dialogflow (antigo Api.ai). Dessa forma, seguindo o padrão aqui do blog de sempre postar…
如果你对我挑选的话题感兴趣,欢迎订阅 Dailyio 会员服务,作为 I/O 会员计划的 2.0 产品,Dailyio 将继续通过付费的门槛过滤、筛选读者群体,让优质读者读到中文世界里的优秀科技商业评论。
www.mattdata.com — Big Data Bible
Artificial Intelligence is now seamlessly integrated into the world around us and we interact with it on a daily basis. Machine Learning is a type of Artificial Intelligence that focuses on giving computers the ability to learn without being explicitly programmed. It’s where all the recent…
Statistics has an enduring ability to brand itself with interminable, confusing and utterly forgettable terminology.
I used to castigate physics for the same thing but at least they have an excuse; they’re attempting to label billions of indescribable stuffs (i lay…