So what were the answers popping in your head ? Random forest, SVM, K means, Knn or even Deep Learning and its variants ?
Now some of you might laugh and say how on earth can you predict so far ahead, predicting things 100 yrs into future is crazy.…
Added by Venkat Raman on January 23, 2018 at 9:00am —
This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted … Continue
Added by Vincent Granville on January 23, 2018 at 9:00am —
Summary: Advanced analytic platform developers, cloud providers, and the popular press are promoting the idea that everything we do in data science is AI. That may be good for messaging but it’s misleading to the folks who are asking us for AI solutions and makes our life all the more difficult.
Arrgh! Houston we have… Continue
Added by William Vorhies on January 23, 2018 at 8:55am —
The concept of a smart society has been around for a long time, but the progress we have seen towards achieving it in the last decade has really been a giant leap for mankind. For those of us who are unaware, the smart society which looms over us is the future of mankind. We are about to enter a phase where living… Continue
Added by Ronald van Loon on January 23, 2018 at 12:30am —
How many times you have compared your homeland to another country when you have watched a foreign language movie/show or when you have traveled to a different country for a business or leisure trip ? I have found myself doing so many times and also had conversations and debates with friends.What I have observed in my discussion is that our brain very quickly comes to a decision on the basis of what it sees at the first glance, very few people control their mind and think about various… Continue
Added by vishal sethia on January 22, 2018 at 4:00pm —
In a previous post I talked about how to preprocess and explore image dataset. In this post, I will talk about how to model image data with neural networks having a single neuron, using sigmoid function. Original version of this blog can be found here. This is equivalent to logistic…
Added by Jobil Louis on January 20, 2018 at 5:00pm —
Contributed by Ben Townson. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on their third project - Web Scraping, due on 6th week of the program.
Background In 2016, the PGA Tour, the leading professional golf tour in the world, began using an upgraded version of the Strokes-Gained methodology pioneered by Mark broadie as the… Continue
Added by NYC Data Science Academy on January 20, 2018 at 2:00pm —
This article was written by Prakarsh Saxena.
In a world where each of us is surrounded by data and its insights, Data Science does seem a promising field of work and research to many. Although there are many books and courses which help us dive into the area right from the scratch, it is also essential for the adepts to have a separate… Continue
Added by Amelia Matteson on January 20, 2018 at 1:30pm —
Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week.
Featured Resources and Technical Contributions
Added by Vincent Granville on January 20, 2018 at 1:00pm —
Artificial intelligence is getting smarter by leaps and bounds -- within this century, research suggests, a computer AI could be as "smart" as a human being. And then, says Nick Bostrom, it will overtake us: "Machine intelligence is the last invention that humanity will ever need to make." A philosopher and technologist, Bostrom asks us to think hard about the world we're building right now, driven by thinking machines. Will our smart machines help to preserve humanity and our values -- or… Continue
Added by Capri Granville on January 20, 2018 at 12:30pm —
Since I am sometimes asked to explain phenomena in the absence of data, it becomes necessary to determine what data is required to explain phenomena. Some would say the best approach is to develop and test a hypothesis - to start filling a void of space with pinholes of light - until there are enough lit pinholes to provide a working theory. This is not to say that a few additional… Continue
Added by Don Philip Faithful on January 20, 2018 at 6:00am —
“Big Data is dead.” “Big Data is passé.”
“We no longer need Big Data; we need Machine Learning now.”
As we end 2017 and look forward to big (data) things in 2018, the most important lessons of 2017 – in fact, maybe the most important lesson going forward – is that Big Data is NOT a thing. Big Data isn’t about the volume, variety or velocity of data any more than car…
Added by Bill Schmarzo on January 20, 2018 at 5:30am —
As the world is progressing towards an age of development in the Internet of Things (IoT) and other aspects related to it, the concept of the digital consumer is on the rise. Consumers of today want to experience the feasibility that is promised through this method. From experiencing customer support resources… Continue
Added by Ronald van Loon on January 19, 2018 at 5:30am —
I was recently a guest lecturer at the University of California Berkeley Extension in San Francisco. On a lovely Saturday afternoon, the classroom was crowded with students of all ages learning the tools of the modern economy. The craftspeople of the “Analytics Revolution” were busy learning new skills and tools that will prepare them for this Brave New World of analytics. I was blown away by their dedication!
As we teach the next generation, it’s important…
Added by Bill Schmarzo on January 19, 2018 at 5:00am —
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on…
Added by Vincent Granville on January 18, 2018 at 6:00pm —
In the past few years, machine learning (ML) has revolutionized the way we do business. A disruptive breakthrough that differentiates machine learning from other approaches to automation is a step away from the rules-based programming. ML algorithms allowed engineers to leverage data without explicitly programming machines to follow specific paths of problem-solving. Instead, machines themselves arrive at the right answers based on the data they have. This capability made business… Continue
Added by Olexander Kolisnykov on January 18, 2018 at 3:00am —
ILLUSTRATION BY STOCKTREK IMAGES, INC., ALAMY…
Added by Peter Bruce on January 17, 2018 at 10:30am —
Digitization has changed the way we process and analyze information. There is an exponential increase in online availability of information. From web pages to emails, science journals, e-books, learning content, news and social media are all full of textual data. The idea is to create, analyze and report information fast. This is when automated text classification steps up.
Text classification is a smart… Continue
Added by Shashank Gupta on January 16, 2018 at 11:30pm —
In this article a few simple applications of Markov chain are going to be discussed as a solution to a few text processing problems. These problems appeared as assignments in a few courses, the descriptions are taken straightaway from the courses themselves.
1. Markov Model of Natural…
Added by Sandipan Dey on January 16, 2018 at 8:30pm —
In this series, I will talk about training a simple neural network on image data. To give a brief overview, neural networks is a kind of supervised learning. By this I mean, the model needs to train on historical data to understand the relationship between input variables and target variables. Once trained, the model can be used to predict target variable on new input data. In the previous posts, we have written about linear, lasso and ridge regression. All those methods come under… Continue
Added by Jobil Louis on January 16, 2018 at 8:00pm —