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Why did your chatbot fail miserably ?


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…

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Added by Ashish kumar on November 21, 2019 at 9:03pm — No Comments

A Guide to Predictive Analysis in R

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…
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Added by Divya Singh on November 21, 2019 at 9:00pm — 1 Comment

Need a Fast, Safe & Flexible App? Go for Cloud Based Mobile Apps

Are you afraid of the security and the safety of the apps? If yes! Then let me tell you that this is a common concern as everyone as everyone is looking for a fast, safe and flexible app as security is the major concern that comes in mind of the startups or entrepreneurs. 

Well, this issue could be resolved if you go for Cloud-based apps as they are capable enough to get your apps updated from time to time.…

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Added by Varun Bhagat on November 21, 2019 at 8:00pm — No Comments

Thursday News, November 21

Here is our selection of featured articles and technical contributions posted since Monday

Announcements

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Added by Vincent Granville on November 21, 2019 at 12:00pm — No Comments

How To Leverage Deep Learning For Automation Of Mobile Applications

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…

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Added by Smith Johnson on November 20, 2019 at 8:30pm — No Comments

Importance of Big Data Analytics Tool: Hadoop

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…

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Added by Yoey Thamas on November 20, 2019 at 1:00am — No Comments

Visually Explained: How Can Executives Make Sense of Machine Learning & Deep Learning?

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…

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Added by Rafael Knuth on November 19, 2019 at 12:30pm — No Comments

Quantum Supremacy by Google. Explained in Easy way.

This article has discussed the following points,

  1. What does quantum supremacy mean?
  2. Some fundamentals to understand quantum supremacy.
  3. When we can…
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Added by Sameer Nigam on November 19, 2019 at 9:00am — No Comments

Top 7 Data Science Use Cases in Trust and Security

Introduction 

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…

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Added by Igor Bobriakov on November 19, 2019 at 6:30am — No Comments

Fun with maps: Part 1

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…

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Added by Dr. Katharina Glass on November 19, 2019 at 4:30am — No Comments

Kaggle's Rachel Tatman on what to do when applying deep learning is overkill

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…

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Added by Packt Publishing on November 18, 2019 at 8:30pm — No Comments

Blog: Descriptive Versus Predictive Analytics

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.…

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Added by Michael Burke on November 18, 2019 at 5:01pm — No Comments

Why including effect size and knowing your statistical power are important

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…

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Added by Zach Zazueta on November 18, 2019 at 3:37pm — No Comments

Gartner and Forrester Begin to Weigh in on Automated Machine Learning (AML)

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…

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Added by William Vorhies on November 18, 2019 at 12:00pm — No Comments

Introduction to Markov Chains

This article was written by Devin Soni.  

 

Markov chains are a fairly common, and relatively simple, way to statistically model random processes. They have been used in many different domains, ranging from text generation to financial modeling. A popular example is r/SubredditSimulator, which uses Markov chains to automate the creation of content for an entire subreddit. Overall, Markov Chains are conceptually quite intuitive,…

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Added by Andrea Manero-Bastin on November 18, 2019 at 5:00am — 1 Comment

Weekly Digest, November 18

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.  

Announcement…

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Added by Vincent Granville on November 17, 2019 at 10:30am — No Comments

Why Artificial Intelligence Research is Still Relevant

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.…

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Added by Redgan Clay on November 16, 2019 at 10:52am — No Comments

Machine Learning and AI in Manufacturing

How is AI Used in Manufacturing Industry Now?

 

Manufacturing is one of the main industries that use Artificial Intelligence and Machine Learning technologies to its fullest potential. Smart Factories, also known as Smart Factories 4.0 have major cuts in unexpected…

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Added by Roman Chuprina on November 15, 2019 at 4:30am — No Comments

Dynamics 365 vs. SAP Business One: All You Need to Know

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.…

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Added by Samual Alister on November 15, 2019 at 2:30am — No Comments

The Journey of Machine Learning Through Banking & Insurance Industry

When we take into account the insurance and banking industry, data plays a central role in it. Insurance is a people-centric business. A business that heavily relies on an individual’s data to the maximum extent possible. And the data Insurance providers and carriers have access to more of such data than ever before. The amount of data, we as humans have created in the past two years is simply unprecedented. …

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Added by Albert Smith on November 14, 2019 at 10:52pm — No Comments

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