Building the High Performing Team for Enterprise Data Analytics
Prashanth Southekal and Santhosh… Continue
Added by Prashanth Southekal, PhD on November 22, 2019 at 7:30am —
Do you want to extract csv files with Python and visualize them in R? How does preparing everything in R and make conclusions with Python sound? Both are possible if you know the right libraries and techniques. Here, we’ll walk through a use-case using both languages in one analysis.…
Added by Marija Zoldin on November 22, 2019 at 3:00am —
Finding the Elusive ‘U’ in NLU
Meet Neo ! Neo is a talented developer who loves building stuff. One fine morning , Neo decides to take up a road, less travelled, decides to build a chatbot ! After a couple of keyword searches and skimming through dozens…
Added by Ashish kumar on November 21, 2019 at 9:03pm —
Predictive analysis is heavily used today to gain insights on a level that are not possible to detect with human eyes. And R is an extremely powerful and easy tool to implement the same. In this piece, we will explore how we can predict the status of breast cancer using predictive modeling in less than 30 lines of code.
Who should read this blog?
- Someone who wants to get started with R…
Added by Divya Singh on November 21, 2019 at 9:00pm —
Mobile applications have already made a mark on the digital front. With a large number of applications already on the Google Play Store and Apple Store. There are applications for almost everything today. But, as the markets of mobile apps expand, they face new challenges and obstacles to be overcome.
Deep Learning is a subsidiary technology for Artificial… Continue
Added by Smith Johnson on November 20, 2019 at 8:30pm —
Hadoop is an open-source framework that stores and process big data in a distributed environment using simple programming models. It is designed to scale up from single servers to thousands of machines, while each offers local computation and storage. Hadoop divides a file into blocks and stores across a cluster of machines. It achieves fault tolerance by replicating the blocks on a cluster.
Hadoop can be used as a flexible and easy way for the distributed processing of large… Continue
Added by Yoey Thamas on November 20, 2019 at 1:00am —
Many executives struggle to make sense of machine learning (ML) and deep learning (DL). Having a pragmatic relationship with technology, executives need to know on a very fundamental level: "What problems do ML & DL try to solve?" A simple, high-level answer to that question is: "It's all about building systems that do certain things better than humans, with as little intervention by humans as possible." That being said, the simplest way to distinguish between ML and its branch DL… Continue
Added by Rafael Knuth on November 19, 2019 at 12:30pm —
This article has discussed the following points,
- What does quantum supremacy mean?
- Some fundamentals to understand quantum supremacy.
- When we can…
Added by Sameer Nigam on November 19, 2019 at 9:00am —
What are trust and safety? What is the role of trust and security in the modern world?
We often come across this word combination ‘Trust… Continue
Added by Igor Bobriakov on November 19, 2019 at 6:30am —
I love maps. It’s not just a nerdy thing. Map are very helpful visualization tools for a lot of questions from business. Of course, there are number of standard BI tools which can produce maps as well, like Tableau. My experience is that the coded ones offer more customization options. Especially when it comes to destinations/cities/villages, which are not big (or well-known) or when the data is not "very" clean (e.g. same city written in a different way), if you have to preprocess data at… Continue
Added by Dr. Katharina Glass on November 19, 2019 at 4:30am —
Deep Learning an emerging branch of machine learning, has garnered a lot of recognition in the field of technology over the last decade. It is regarded as a game-changer in AI, with distinct progress in computer vision, natural language processing (NLP), speech and other areas of machine learning. This year an Indeed survey found ‘deep learning engineer’ to be the best job in tech positions in the USA.
Though deep learning has many benefits and a very… Continue
Added by Packt Publishing on November 18, 2019 at 8:30pm —
Generally speaking descriptive analytics is the process of making some sense or adding some structure to a data set, which at times can be very large. For this reason, most discussions referring to “analytics” in business are actually talking about descriptive analytics (Bertolucci, 2013). The most obvious example is when we run descriptive statistics at the beginning of a study, and look at things like the range, mean, median, quartiles, skew and kurtosis.… Continue
Added by Michael Burke on November 18, 2019 at 5:01pm —
I’m unsure if it is a common misconception, but I know I used to believe that the only thing needed to present findings from statistical analysis was a P-value less than the chosen alpha; that if there was evidence to reject the null hypothesis it could be concluded that a meaningful discovery had been made. What I learned during the Mod 3 project is that statistical significance is not indicative of a substantive significance in what is being measured or compared. In order to determine the… Continue
Added by Zach Zazueta on November 18, 2019 at 3:37pm —
Summary: AML has been around since at least 2016 but only in the last year have Gartner and Forrester begun to offer their opinions. Here’s where we stand.
This has been a big year for AML (automated machine learning). A number of new players have emerged and pretty much everyone acknowledges that some… Continue
Added by William Vorhies on November 18, 2019 at 12:00pm —
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. To subscribe, follow this link.
Added by Vincent Granville on November 17, 2019 at 10:30am —
As a college student, you will often be required to submit a written research paper in whatever field. For such a paper, you will have to analyze different data and come up with a hypothesis. This is where artificial intelligence comes into play. It helps you analyze data and make predictions based on your findings.…
Added by Redgan Clay on November 16, 2019 at 10:52am —
Enterprise Resource Planning (ERP), which is a buzzword these days, derives its name from its predecessor, Manufacturing Resource Planning (MRP II) and is now helping to transform our industrial landscape.
ERP now is an enterprise-wide set of management tools that balances demand and supply.… Continue
Added by Samual Alister on November 15, 2019 at 2:30am —
This picture compares two different types of bootstrap (parametric and non-parametric) with their traditional counterpart.
Which Bootstrap When?… Continue
Added by Stephanie Glen on November 14, 2019 at 6:56pm —
Gradient Descent has a problem of getting stuck in Local Minima. The following alternatives are available. The following is a summary of answers suggested on CrossValided, originally posted here. …
Added by Capri Granville on November 14, 2019 at 10:00am —
There, I said it. I said the “R” word. And no, I’m not talking the political “R” word. I’m talking about the potential of a… r-e-c-e-s-s-i-o-n. There are many indicators pointing to the potential of a worldwide recession, and unfortunately during a recession, many organizations hunker down, cut spending, and try to ride it out – all the wrong things to do if you want to actually avoid a recession.…
Added by Bill Schmarzo on November 14, 2019 at 6:10am —