GAN of the Week is a series of notes about Generative Models…
Adithya Balaji and Alexander Allen
Want to be inspired? Come join my Super Quotes…
The prospect of incorporating Computer Vision with Machine Learning gives me…
Would you let an Artificial Intelligence make decisions on for behalf? — If Yes, then to what extent, maybe…
It doesn’t matter how good your model is. At all. — Julia Evans
Data and AI are transforming businesses worldwide from finance, manufacturing and retail to healthcare, telecommunications and education. At the core of this transformation is the…
Airtel is world’s third largest telco with ~400 million subscribers in 16 countries and provides…
Intel wants the entire world to be AI enabled as it knows that it will be one of the big players supplying the…
Quick Overview of Genetic Algorithms: Genetic algorithms are a very interesting class of…
Useful references:Moving Averages: Are They Effective? — Mark Couter, 2010Notes: hl2…
It’s widely known that models that have too much capacity can overfit data. But…
Out of all the machine learning algorithms I have come across, KNN has easily been the simplest to pick up. Despite it’s simplicity, it has proven to be incredibly effective…
This post is curated by IssueHunt that a crowdfunding and sourcing platform for open-source…
The rising costs of healthcare in the United States could mean big things for Big Data in the healthcare industry.
在學習人工智慧的這條路上雖然很艱辛，但是很有趣，於是將過程記錄下來，想要跟大家分享學習的心路歷程。
I spent this summers as ML Researcher at Thapar University,Patiala, India, working to classify symbols of Indian Sign Language for hearing and speech impaired people.
最近機器翻譯、ＡＩ、機器學習的議題還是非常火熱。機器翻譯方面，今年我比較關注的幾個大咖包括：
Google Cloud AI 底下的 Google Translate: https://cloud.google.com/translate/?hl=zh-tw
Amazon sagemaker 底下的 Amazon Translate:
In part 1, we saw how to deal with Series and started messing with DataFrames. Now, let’s see some more useful features that Pandas can offer.
This time, we’ll generate a random dataset with Numpy’s random function and convert…
In 2015, Leon A. Gatys et al. published a paper using deep neural networks to transfer the style of one…
In the financial industry, a 1% margin is considered very high because of the efficiency in…
This article is part of the Academic Alibaba series and is taken from the paper entitled “Adversarial Detection with Model Interpretation” by Ninghao Liu and Xia Hu and Hongxia Yang, accepted by…
Its a common step to calculate the L2 distance between two matrices while implementing…
AI inside. Tenhle a podobné výkřiky lze dnes najít na mnoha produktech a propagačních materiálech firem a služeb. Zpravidla…
Did the idea of Neural Network ever scare you?? Did the idea of coding a simple Neural Network look like a tedious task??
Well what if I say coding a Neural Network in Python is one of the easiest code you have ever written.
Como fazer machine learning usando várias GPUs
Aproveitando que saíram placas de GPUs novas da Nvidia resolvi escrever esse texto,e como começar?Falando apenas da performance das novas placas?Melhor não até porque vai sair uma placa nova e o texto pode ficar desatualizado.Vou fazer uma outra abordagem,analisar pelo aumento…
今日主題：使用AC-GAN產生模擬MNIST資料
今天要玩的主題是AC-GAN，之前的文章中有大概介紹過這種對抗網路，今天就來研究一下別人的實作程式碼是怎麼寫的。
Packages
This article is part of the Academic Alibaba series and is taken from the paper entitled “SPARC: Self-Paced Network Representation for Few-Shot Rare Category Characterization” by Dawei Zhou, Jingrui He…
By Hollie Jaques, International Event Manager — RE•WORK August 22, 2018
deep learning 을 위해 torch 를 사용하는 경우는 보통 cuda 8, cudnn 5 를 설치해서 사용하곤 한다. 하지만, 다른 deep learning framework 에서는 cuda 8 를 지원하지 않아 cuda 9을 설치해야 하는 경우가 생긴다.
그래서, cuda 9 을 설치하고 torch 를 설치하려고 하면 아래와 같은 compile error 가 발생하게 된다.
Artificial Intelligence is becoming part of life day by…
This article is part of the Academic Alibaba series and is taken from the paper entitled “Interactive Paths Embedding for Semantic Proximity Search on Heterogeneous Graphs” by Zemin Liu, Vincent W…
Machine Learning is one of the trending topics in today’s digital world. It is a type of Artificial Intelligence (AI) in which the software gives you the ability to learn based on data. For instance, you must have noticed how YouTube, Amazon and many other…
It’s hard to argue that technology is not affecting how we do our jobs. Even today, people are moving more and more…
Logistic regression is a machine learning algorithm used whenever the outcome of the target variable(Y) is categorical like 0 or 1, Yes or No, A, B or C.
The article is also published at Ximilar AI Blog.
This update is huge! Even though this summer in Europe is really hot, we are working hard to improve Vize to become a tool that helps you…
There are a lot of changes that occur in the industry under the influence of information technology. Those changes…
It’s not easy to teach a computer how to see. You can’t just put a camera on the computer and expect it to see. For…
This article is part of a series on the CyberSift Packet Capture Parser. In this article we’ll introduce anomaly analysis in the context of cybersecurity and discuss which methods we did and did not…
After two years of unsuccessful applications and one year of waiting in between…
Since long time ago, I’ve faced the same question, why a graph store is better than Document stores. Most of the time, due to the scalability requirements and the learning curve, Document stores to win the battle, and I feel disappointed.
Recently, while reviewing the literature in NLP. I traversed through citation graphs. One thing which was pretty evident was Catastrophic Interference is a major issue/problem in achieving General Artificial Intelligence.
Old Dog Learning New Tricks: Lessons Learned
I recently found time to go through a text classification exercise. I started by writing down a simple goal and tried to accomplish it. It turned out to be much more difficult than I thought.
Looking back
By Rehan Ahmed
Yann LeCun, Yoshua Bengio & Geoffrey Hinton
