There was a recent blog post on mental models for deep learning drawing parallels from optics [link]. We all have intuitions for few models but it is hard to put it in words, I believe it is necessary to work collectively for this mental model.
追風
上一篇的預測目標是 P=1的機率，也就是 P 要馬等於 0 ，要馬等於 1的機率．當預測目標是多個類別的話，就沒辦法這樣用．例如如果我要預測輸出的顏色是什麼顏色，而顏色總共有紅、黃、綠三種的時候，就要使用其他方法．
來自各個領域、身處開發前線的科學家們在科創講堂 Sci-Tech FORUM 2018系列講座中分享，AI的創新智慧應用、目前的研究成果與限制，以及將在未來開啟什麼樣的可能性。
In two of my previous posts (this and this), I tried to make a sentiment analysis on the twitter airline data set with one of the classic machine learning technique: Naive-Bayesian classifiers. For…
Clutch.AI was born in late 2016, as an idea at Khosla Labs. Novopay, a fintech that…
For background on why all of a sudden there’s Bayesian content on this blog, see here.
This post is a comparison between my old program called “WaoN” and recently released Google Magenta’s music transcription program. The result is that my old fashioned FFT based program works as good as the…
Before I get to the fun stuff about how #teamPyTorch built a classifier to recognize two of black…
The world is filled with information, which continues to grow at an increasing speed. In fact, breakthroughs in…
This blog may have been inactive since the turn of the calendar year, but rest assured Paper Club has not!
After returning from the holidays we got together to chart a course for Paper Club in 2018 and beyond. The J’s had a blast at NIPS in December and Jason Benn…
Ada tambahan konten di situs belajar Machine Learning, bisa di akses disini.
Hanya saja panduan tersebut saat ini tidak baik untuk pemula, banyak konsep-konsep dasar yang tidak dijelaskan secara detail. Jika kamu membaca dan mengikuti panduannya, bantu kami untuk…
The Sri Lankan government declared a state of emergency last week as mosques were torched and…
It explains why fault tolerant is not an issue in the Openhash Platform(formerly, Spaceweb Platform). From the start, it aimed to be a titanium-solid platform, and has built a system of war-tolerant rather than…
Binary classifiers are a general class of machine learning algorithms that take an input data and output two class labels. A yes/no, 1/0 classification. The actual algorithm being used for classification could be as simple as a linear classifier to…
Actualmente parece que hay una polarización muy fuerte entre los empresarios de toda la vida o los que aspiran a serlo y los denominados emprendedores de startups. Estos últimos están creando empresas a una velocidad nunca vista gracias a los…
We know that deep learning is vulnerable to “adversarial” example, where you make changes that completely fool your AI. You know — people are going to f**k with stop-signs and there will be crashes, death, and mayhem!. The question is, are our brains…
Natural Language Processing (NLP) is a popular type of artificial intelligence that aides computers to understand human language.
No bullshit guide to linear algebra by Ivan Savov
Supervised machine learning has two types: 1) Regression, 2) Classification
In regression task, it deals with the continuous data type that means the predicted value or target value will be the type of…
Focus areas: Blockchain| ML-AI| Data science/Analytics applications |eSports| CRISPR| Design thinking
1. Ideas that changed my life, interesting collection of takeaways…
This post will walk through my experience which I recently have at Machine Learning meetup organised by Big Data Developers in Delhi at IBM Research India. It was very first meetup in the series of ML meetups going…
Businesses are constantly on the hunt for cutting-edge ways to boost their margins by increasing productivity while reducing costs, leading many to turn to intelligent automation. The role of artificial intelligence (AI) and machine learning…
“Out in the wilds of real world development, you will spend only a tiny fraction of your time coding…”
That message or something like it has been repeated to us by various different coaches over the course of our time at Makers Academy. In the beginning it was a simple…
Machine Learning: came into existence from AI Labs, is a form of Artificial Intelligence in which the program is designed to learn on its own. Think of this concept as real life decisions made by you, your mind assigns a metric/score on every possible…
This post is a part of Jeff’s 12-month, accelerated learning project called “Month to Master.” For March, he is downloading the ability to build an AI.
The Central Limit Theorem, Normal and Lognormal distributions are discussed in Lesson 56.
Truth! The fundamental rule of technology - Garbage in = Garbage out!
Vetting Text with Natural Language Processing Algorithms
While teaching my instrumentation and measurement courses, I am often met with surprise at the statement, “Scientists are the members of our civilization charged with discovering, documenting, and disseminating…
Signals Network — Let’s make use of machine intelligence for human profit
Mission: Our mission is to democratize machine intelligence in the cryptotrading industry. Any cryptotrader armed with computational power and data science can make smarter and faster…
Hmm.. I though that the source of errors in modeling is
Well written article. Easy to understand. Can you suggest any AI/ ML models adapted in by wall street banks?
