I would like to start this write up with a story.
A father has two kids, Kid A and Kid B. Kid A has a special character whereas he can learn everything in depth. Kid B have a special character whereas he…
Fusing LIDAR and Camera data — a survey of Deep Learning approaches
Both LIDAR and camera outputs high volume data. Radar output mostly appears to be lower volume as they primarily output object list. However, with recent advances in imaging radars at 80 GHz, it conceivable that some of these will optionally output a point…
My favorite type of startup founder is a hacker. I don’t mean the nefarious, law-breaking kind of hacker; I mean…
Expertly tuned machine-learning algorithms are generally able to achieve fairly strong accuracy in a variety of settings. The winning entries in Kaggle contests, for example, often boast accuracy (measured in a variety of ways) of…
In this blog, I’ll show you how I went about reading, understanding, visualizing a dataset, and applying machine…
From Self-Driving Cars to Alpha Go to Language Translation, Deep Learning seems to be everywhere…
Let us explore a mobile platform aware neural architecture search algorithm called MnasNet. MnasNet was developed by the Google Brain team. Here, we’ll go over the main contributions of the paper, the method applied, and finally, a quick implementation of the final model in…
tl;dr Keras models are missing “model confidence.” We need to know the “confidence” of a deep learning…
In the previous chapter I covered three concepts namely:
Whenever you are trying to fit a line over data points you can come across any one of these guys- influential point or outliers. Before getting into the math, I would like to explore the worldly meaning. An influential person is powerful, dominant and can alter the status…
Empirical Mode Decomposition and the Hilbert-Huang transform was proposed by the engineer and applied mathematician…
I was recently thinking about a project. We were building an app, and part of it…
How the Alibaba tech team uses deep learning to help online marketplaces drive strong business results through the creation of quality outfit displays
After learning more about supervised Machine Learning algorithm, I briefly thought that I would be able to use OpenCV to analyze all the images available from the Metropolitan Museum, which consist of over 420,000 artworks in its collection. Being able to analyze the entire…
TISのchakkiチームは、2018/8/27から8/29で開催されたNLP若手の会(YANS)にスポンサーとして参加してきました。本記事では、TISの発表内容とYANSでの交流の模様をお届けしようと思います。
Very nice read but I would like to respectfully disagree on certain points. While computer Science is necessary for AI an advance understanding/degree in Mathematics or Statistics is more important. Computer science is a vast discipline, the focus should be more on math/stats than computer science. Computational science which is an interface of Math…
This is part of The ULTIMATE Curriculum in Data Science which you can refer for more topics related to Data Science.
Introducing the research paper that describes a practical approach to building natural language interfaces for structured data querying.
When I was five years old, my family took a road trip to Los Angeles. I recall playing backseat driver, with a thick navigation book in…
Google Appengine makes writing scalable web applications easy by removing the need for traditional Dev Opps. Below, we’ll use pandas and scikit-learn to train a model on the Iris Data and build an API to classify incoming data. After…
Despite being busy with my schedule recently, I managed to obtain a silver medal…
There are tons of reasons to learn a programming language. Maybe you are new to coding and…
Using ml5js to make a webcam-controlled game in the browser
One of the most important aspects of our work at nam.R is to find, clean, aggregate and…
Hi, this post is some kind of giveaway. I wan to share couple machine learning business ideas i was…
By Thomas Devlin
The potential of AI in healthcare is surging, and its possibilities are well beyond that of just assisting doctors in providing simple diagnoses. According to an Accenture report, growth in the AI healthcare market is expected to reach $6.6 billion by…
Problems exist simultaneously with a solution. And the “problem” is the lower…
Imagine having Self-driving Enterprise IT where machine intelligence completely replaces human Ops in managing business-critical application deployments — will this become a reality or is it a pipe…
It may look strange! You may be asking who is Yekaliva? That’s why I am writing this article. There is a difference between chatbot providers and a chatbot building platform. A chatbot buiding platform is a PaaS product where one can build…
by Benjamin Erichsen
Hello Aisha,
Thank you for the great article. The explanation on probabilities was top notch. I hope you bring more articles filled with great information like this one.
Prayers for your success and health.
Cheers
[MLY 번역]
Andrew ng의 Machine Learning Yearning을 번역한 글입니다. 중간중간 실험가능한 내용이 있을 경우 c++ 혹은 tensorflow를 이용한 실험과 함께 업로드할 예정입니다. 일주일에 2회, 회당 5개씩 업로드될 예정입니다.
번역: 안현진,정주안
I believe that the top 1% in the world is achievable if you do things today that other people are not willing to. Why you become the top 1% in the world is because you can now do things that they can’t.
Thanks! This strategy applies to an universe of leveraged ETFs, not just one, so it can be autonomous and not reliant on only one pair (this also helps with diversification because shorting an ETF pair isn’t fully market-neutral as it’d theoretically appear). What it essentially does is screen the universe to find which pairs are projected to suffer…
Nice read, and great point about putting the accuracy score of your model into context of how balanced the dataset is. Using the confusionMatrix() function from the caret package in R is quite useful for that, as you can easily compare the accuracy to the no information rate and very quickly get a feel for how much value your model is adding compared…
confusionMatrix()
caret
Provocateurs seem to shout bleak warnings about society’s ruin at the hands of…
Presenters: Synerzip’s Co-founders, Hemant Elhence, CEO and Vinayak Joglekar, CTO.
Watch the webinar recording below, helpful in day-to-day functioning of an agile organization as well as any individual from software develplopment stream.
