By Raymond Yuan, Software Engineering Intern
In this tutorial, we will learn how to use deep learning to compose images in the style of another image…
This article is a quick tutorial for implementing a surveillance…
Recently I was working on a project where the data set I had was completely imbalanced. It was a binary classification problem and the ratio of classes 0 and 1 was 99:1.
What happens when the data set is…
If you’re using python for data science, either you have used NumPy or must have heard…
For any kind of machine learning problem, you must know how you are going to evaluate your results, or what the…
Scikit-learn is great for putting together a quick model to test out your dataset. But what…
Why do we want to do Text-to-Speech?
Author: Vinayak Joglekar, Co-Founder & CTO, Synerzip.
In an earlier posting we saw how ranking resumes can save time spent by recruiters and hiring managers in the recruitment process. We also saw that it lends…
In the previous parts of the “Python for data science” series, we looked at :
Notes from Coursera’s Machine Learning course, instructed by…
Nowadays, everyone talks about machine learning and deep learning. Definitely, we enjoy…
With the rise of Internet, fraud has evolved substantially and profit loss continues to…
In the past it wasn’t so easy to get TensorFlow installed onto the Raspberry Pi, but this time last year Pete Warden finally managed to successfully get it to cross-compile. From there he set up nightly builds running as part of Google’s…
On Google Cloud Platform, Cloud ML Engine provides serverless machine learning, for training, hyperparameter optimization and predictions. Until recently, that was only for TensorFlow…
The most important step in computer vision or machine learning is to understand data well and use that knowledge to make the best design choice.
The open question is..
AI Poised to Bring Extreme Personalization to our Children’s Classrooms
Brian Solis, digital analyst and futurist at Altimeter Group, writes that marketing…
The kMeans clustering algorithm is very popular for its classification as an ‘Unsupervised Artificial…
The dataset has been collected from kaggle diabetic retinopathy detection challenge. The dataset consists of 35GB (approx 35k ) images of retina scans.
Principal Component Analysis (PCA) is a simple yet popular and useful linear transformation technique. PCA transforms the data from one feature space to other feature space of low dimension. The transformed feature space should be able to explain most of the variance of the…
본 포스팅은 edwith BoostCourse에서 ‘머신러닝을 위한 파이썬’ 강의를 듣고 한 포스팅입니다.
사실, 컴퓨터는 문자를 그대로 이해하지 못한다. 그래서 문자를 컴퓨터에게 알맞은 방식으로 알려줘야한다. 보통은 컴퓨터에게 문자를 숫자로 바꿔서 알려주게된다. 그 숫자를 컴퓨터에게 알려주는 방법은 많다. 그렇다면 컴퓨터에게 ‘유사하다’라는 표현을 어떻게 숫자로 알려줄 수 있을까?
머신러닝이란?
Africa has been a sexy topic for the last 10 years or so, always so exciting to hear about the “Next Billion Users.” Probably nobody cares what these blue-chip companies launch in America or Europe, but once they launch…
Weekend of a Data Scientist is series of articles with some cool stuff I care about. Idea is to spend weekend by learning something new, reading and coding.
Thanks for this post. I am highly interested in AutoML and recently made a quick text classification comparison between Google AutoML and H2O.ai twitter
Thought to add AutoKeras to this comparison but seems that it is designed for only image classification. It would be wonderful to see comparison of these three tools.
written by Stephen Wilson
Hi! First off, I want to more than applaud you. Most tutorials or descriptions on BRNNs explain the superficial and easy-to-understand aspect that BRNNs provide additional context in fill-in-the-gap problems whereas in a lot of examples (for example seq2seq) they are not used in that way. Explanations on why they are used like this and the impact…
This post is a part of our series exploring different options for long-term demand forecasting. Part 2 is available here.
This post is the third in the SIGMOD 2018 series, click here for post 0, post 1.
On the final day of SIGMOD, we attended the DEEM workshop. DEEM is a workshop on Data Management for End-to-End Machine Learning. This workshop…
This week we are back at work with our research and the group consisting of, Vivian Nguyen…
11 / 05 / 2018
Gone are the days when Artificial Intelligence was all about science fiction films. Today, it has become a crucial part of our day to day lives, from online shopping to TV viewing to everything. Being the new buzz around, AI seems to…
The dataset may contain uneven samples /instances , so that it makes the algorithm to predict with accuracy of 1.0 each time u run the model. For example, if u have simple dataset…
Recently, a beta version of the online-game WikiBest was released. The service is a part of the…
今日主題：數位易容術 — 如何用化妝騙過人臉辨識系統
In the tech world today, visual recognition seems to currently be one of the hottest fields to study and utilize. With a multitude of capabilities, visual recognition has the immense potential to not only make our…
Machine Learning is one of the crucial members of the triad which is moving our world…
For an ML Classification Project what it means by Precision or Recall?
Input to the Model:
Consider 12 images of Dog are fed to a Classification model to predict
One of the biggest challenges presented to the field of oil and gas is the rising pressure to innovate…
There are various metrics and measures to check the model that we created. accuracy is one of them, now looking for a classification model
is accuracy a good measure ?
一個「高級」的 sex doll 有什麼特徵？五官精緻？身材完美？擁有「高性能」的器官？都已經2018年了，擁有以上條件的 sex doll 都只能說是入門級吧。
For software development there are many methodologies, patterns and techniques to build, deploy and run applications. DevOps is the state of the art methodology which describes a software engineering culture with a holistic view of software…
Several interesting papers/repos related to 3D…saving links for later
Google announced a bunch of interesting ML/AI-related news at last week’s Next conference. Here are the highlights, along with a few other tidbits.
錄影中，請微笑。
不止是微笑，就連你的憂傷和憤怒，店內的監控鏡頭也會一一記錄低，成為日後改善服務和業績的數據。
In this feature, we will tell you about the most interesting and promising Machine Learning technology use cases. You’ll find out that, currently, the concept can already resolve…
Photo Of The Week
