Microsoft Excel has been around for over 30 years now, and chances are it's not going to change in the foreseeable future. In fact, Excel is facing immense competition from challengers such as Google Spreadsheets and well-funded start-ups like Airtable, which are both going after Excel's massive user base of approximately 500 million worldwide. However, making a dent in the enterprise space is huge challenge. It's nearly impossible to rip and replace Excel along with Office 365 and the…Continue
Supervised learning – A blessing we have in this machines era. It helps to depict inputs to outputs. It uses labelled training data to deduce a function which has set of training examples. The majority of practical machine learning uses supervised learning as on date.
AILabPage defines Machine Learning as “A focal point where business, data and experience meets…Continue
Added by Vinod Sharma on October 8, 2018 at 10:00am — No Comments
A candlestick chart is sometimes used by stock market technicians to make trading decisions. Each candlestick graphically depicts the following prices simultaneously: opening, closing, high, and the low. An interesting question is whether candlesticks can be used for pattern recognition purposes. Traders directly interpret the charts - applying a type of pattern recognition that might involve industry norms and personal judgment. But I mean using a systematic or algorithmic…Continue
Added by Don Philip Faithful on October 8, 2018 at 5:46am — No Comments
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.
Added by Vincent Granville on October 7, 2018 at 8:30am — No Comments
This article was written by Rahul Saxena.
The decision tree classifier is a supervised learning algorithm which can use for both the classification and regression tasks. As we…Continue
Added by Emmanuelle Rieuf on October 6, 2018 at 11:30am — No Comments
Recently, I read an article from CIO.com examining the 5 pitfalls of self-service BI. The author, Thor Olavsrud did a fantastic job explaining how just having a tool doesn’t mean that…Continue
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. To keep receiving these articles, …Continue
Added by Andrei Macsin on October 5, 2018 at 10:00am — No Comments
We've reached a point where human (cognitive) task performance is being leveraged or even replaced by AI. So who or what is responsible for what this AI does?
While the question seems simple enough, legal answers from the field are apparently opaque and embroiled. This is caused by the fact that AI is performing human-like tasks without having the clear legal accountability of one, and the question is whether it should have any. Fortunately, now that machine learning and artificial…Continue
Added by Roger van Daalen on October 5, 2018 at 5:21am — No Comments
Ajit's research is focused on Data Science for IoT. He teaches the same at Oxford University and UPM in Madrid (@forumoxford + @citysciences). Ajit is also launching a course / certification in Data Sciences for Industrial IoT. His personal research interests include Deep Learning algorithms for IoT/future city domains.…Continue
Added by Vincent Granville on October 4, 2018 at 9:00am — No Comments
This is our selection of featured articles and resources posted since Monday:
Added by Vincent Granville on October 4, 2018 at 8:00am — No Comments
Added by Matthew Gierc on October 4, 2018 at 7:00am — No Comments
If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its growth, and companies from diverse backgrounds are realizing the impact of incorporating data and AI into their…Continue
Added by Ronald van Loon on October 3, 2018 at 10:15pm — No Comments
Why Use Framework for Deep Learning?
You can implement your own deep learning algorithms from scratch using Python or any other programming language. When you start implementing more complex models such as Convolutional Neural Network (CNN) or Recurring Neural Network (RNN) then you will realize that it is not practical to implement very large models from scratch. …Continue
Added by Muhammad Rizwan on October 3, 2018 at 8:00pm — No Comments
Organizations looking for justification to move beyond legacy reporting, should review this little ditty from the healthcare industry:
The report identified six major areas of waste: unnecessary services ($210 billion annually); inefficient…Continue
Added by Bill Schmarzo on October 2, 2018 at 2:30pm — No Comments
Data Science is a broad discipline, even though the concept is recent, every day is evolving. According to Berkeley School of Information, the Data Science Life Cycle has five stages, this stages are not exclusive from one another. These five stages are Data Capture, Data Maintain, Data Process, Data Analysis and Data Communication. The latter is the most important activity in businesses. It is where we deliver Data Visualizations, Data Reports, Business Intelligence and Decision Making.…Continue
Added by Mauricio Mani on October 2, 2018 at 2:00pm — No Comments
Summary: There are several approaches to reducing the cost of training data for AI, one of which is to get it for free. Here are some excellent sources.
Added by William Vorhies on October 2, 2018 at 7:23am — No Comments
Python and R are the two most commonly used languages for data science today. They are both fully open source products and completely free to use and modify as required under the GNU public license.
But which one is better? And, more importantly, which one should you learn?
Both are widely used and are standard tools in the hands of every data scientist.
The answer may surprise you – because as a professional data scientist, you should be ready to deal with…Continue
Added by jwork.ORG on October 1, 2018 at 3:30pm — No Comments
With the recent news about Facebook and Cambridge analytica, we are rightly concerned about the power and impact of algorithms to shape…Continue
Added by ajit jaokar on October 1, 2018 at 2:00am — No Comments
AI has snuck into our daily lives and there is nothing to stop it. Not only does AI power autonomous vehicles, but AI already decides what products you should buy, what movies you should watch, what music you should listen to, and whom you should date. If you talk to your iPhone, Google Home, and Amazon Echo, you are talking to an AI engine that powers these personal virtual assistants. AI decides whether you are approved for a loan, determines the outcome of a job applications, identifies…Continue
Added by Bill Schmarzo on September 30, 2018 at 2:11pm — No Comments