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We are offering a free demo session on: R Programming Core Analytics & Predictive Modelling

DexLab Analytics is proud to announce a complimentary online demo session which will be held on Saturday 15th October, 2016 at 10:00 PM on the topic of R Programming, Core Analytics & Predictive Modelling. It will be a 30 to 45 minute session which will give the aspiring candidates a glimpse into the content quality, delivery style and intractability with the faculty at the institute.

 

We are offering a free demo session on:  R Programming Core Analytics & Predictive Modelling

 

Those who want to join this demo session must email stating their interest directly to DexLab Analytics for registering for the same. Although as is the common notion about free things that they are usually of poor quality, but for this complimentary session we can promise the case will not stand true. This session will offer ample insight about what to expect in the upcoming batches. This is a one-of-a-kind endeavour by DexLab Analytics as no other analytics training institute offers such complimentary sessions. Continue reading “We are offering a free demo session on: R Programming Core Analytics & Predictive Modelling”

Data Analytics is Helping Computers Create Rembrandt Masterpieces

Ever imagine what would happen if master painters like Rembrandt were alive and painting in the time of Prisma?

 

They would probably have a brain aneurysm looking at perfect photographic images to be transformed into almost accurate paintings on the hands of puny commoners with so much as a smart phone!

 

Data Analytics is Helping Computers Create Rembrandt Masterpieces

 

But how is that, computers these days can replicate the master paintings of famous legendary artists like Van Gogh or Rembrandt for that matter within a matter of few seconds? While Prisma transforms real photographs into paintings by playing around with the graphic information. But what if we told you…that you can create a whole new painting using your computer or to be precise with this ingenious algorithm! Continue reading “Data Analytics is Helping Computers Create Rembrandt Masterpieces”

Will AI Replace The Intelligentsia? Google’s AI writes mournful poetry

Will AI Replace The Intelligentsia? Google’s AI writes mournful poetry

It is no new news that Artificial Intelligence can now control self driving cars; they can beat the best humans at highly challenging board games like chess, and even fight cancer. But still one thing it cannot do perfectly is communicate.

So, to help solve this problem Google has been feeding its Artificial Intelligence with more than 11,000 unpublished books, which include more than 3000 steamy romantic titles. And in response the AI has penned down its own version of mournful poems.

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The poems read something like this:

I went o the store to buy some groceries.

I store to buy some groceries.

I were to buy any groceries.

Horses are to buy any groceries.

Horses are to buy any animal.

Horses the favourite any animal.

Horses the favourite favourite animal.

Horses are my favourite animal.

And here is another one from Google’s AI:

he said.

“no,” he said.

“no,” i said.

“i know,” she said.

“thank you,” she said.

“come with me,” she said.

“talk to me,” she said.

“don’t worry about it,” she said.

 

The way this happened was, Google’s team fed their AI with unpublished works into a neural network and gave the system two sentences from the book; it was then up to this ingenious artificial intelligence to build its own poetry based on available information.

In example above, the team of researchers gave their AI two sentences one about buying some groceries and the other one about horses being a favourite animal (these are the first and the last lines of the above mentioned passages). The team then directed the artificial intelligence to morph between the two sentences.

In the research paper the team further went on to explain the AI system was able to “create coherent and diverse sentences through purely continuous sampling”.

With the use of an autoanecdoter, which is a type of AI network that makes use of data sets to reproduce a result, in this case that was writing sentences, using much fewer steps the team was able to produce these sentences.

The main principle behind this research is to create an Artificial Intelligence which will be proficient in communicating via “natural language sentences”.

This research holds the possibilities of developing a system that is capable of communicating in a more human-like manner. Such a breakthrough is essential in the creation of more useful and responsive chat bots and Artificial Intelligence powered personal assistants like that of Siri and Google Now.

In a similar project, the researchers at Google have been teaching an AI how to understand language by replicating and predicting the work of bygone authors and poets under their project Gutenberg.

This standalone team at Google fed the AI with an input sentence and then asked it to predict what should come next. And by analysing the text, the AI was capable of identifying what author was likely to have written the sentence and was able to emulate his style.

In another incident, on June, 2015 another team of talented researchers at Google were able to create a chatbot that even threatened its creators. The AI learned the art of conversation by analysis of a million movie scripts thereby allowing it to realize and muse on the meaning of life, the colour of blood, and even on deeper subjects like mortality; Ss, much so that the bot could even get angry on its human inquisitor. When the bot was asked with a puzzling philosophical question about what is the meaning of life, it replied by saying – “to live forever”.

In other such similar works, Facebook has also been teaching its artificial intelligence with the use of children’s books. As per the New Scientist which is a social network, it has been using novels such as The Jungle Book, Alice in Wonderland and Peter Pan.

If you are yearning for some more of AI’s written word, then here are the rest of Google AI’s poems.

You’re right.

“All right.

You’re right.

Okay, fine.

“Okay, fine.

Yes, right here.

No, not right now.

“No, not right now.

“Talk to me right now.

Please talk to me right now.

I’ll talk to you right now.

“I’ll talk to you right now.

“You need to talk to me now. —

 

Amazing, isn’t it?

So, what is it?

It hurts, isn’t it?

Why would you do that?

“You can do it.

“I can do it.

I can’t do it.

“I can do it.

“Don’t do it.

“I can do it.

I couldn’t do it. —

 

There is no one else in the world.

There is no one else in sight.

They were the only ones who mattered.

They were the only ones left.

He had to be with me.

She had to be with him.

I had to do this.

I wanted to kill him.

I started to cry.

I turned to him. —

 

I don’t like it, he said.

I waited for what had happened.

It was almost thirty years ago.

It was over thirty years ago.

That was six years ago.

He had died two years ago.

Ten, thirty years ago. — “it’s all right here.

“Everything is all right here.

“It’s all right here.

It’s all right here.

We are all right here.

Come here in five minutes.

“But you need to talk to me now.

 

To feed in adequate information on Machine Learning Using Python, reach us at DexLab Analytics. Our Machine Learning Certification is garnering a lot of attention owing to its program-centric course module.

 

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Here is The Data Why We Think Iphone 7 is Going to Be a Huge Hit

While the media and the tech analysts think that they have got the iPhone 7 all figured out and presume that the iPhone 7 sales will not be much as it is not offering much of an improvement from the previously launched iPhone 6S. But we have taken a look at the data and have a theory that tells a different story. Why?

 

We think that iPhone 7 is going to be a massive hit because Apple Inc. Is installing its largest ever iPhone user base which is more than two years old.

 

Here is chart that depicts how many people upgrade their phones to the latest model soon after its launch. We discovered that the switch is highly dependent on the fact of how old their previous phones were. Surprisingly only 17 percent of the people change their phones immediately after the launch of a new one. The people who change their phones immediately after the launch of a new release is the lot with “the next gen phone + 1” or people with phones that are two years or older!

 

Refer to the infographic below to understand the iPhone switching factor:

Continue reading “Here is The Data Why We Think Iphone 7 is Going to Be a Huge Hit”

Olympics Spoiler Alert: We Predicted The Outcomes Of Rio Olympics

Being a part of the data awakened generation we acknowledge that data analytics and predictions form an integral part of everything we do. From sole trade predictions to outcomes of famous movie releases to results of sporting events, big data analytics is now the wizardry of obtaining the answers to questions that are still unasked.

 

Rio Olympics 2016

 

Recently following the ongoing trends, the company Gracenote which is the world’s leading provider of entertainment data and is a subsidiary of the Tribune Media Company claimed that they have made accurate predictions of the Rio Olympics outcomes. So, following Gracenote we have also used our sports data analytics expertise to predict which countries and athletes will step up and do well at the 2016 Summer Olympics Games. Continue reading “Olympics Spoiler Alert: We Predicted The Outcomes Of Rio Olympics”

Understanding the Difference Between Factor and Cluster Analysis

Understanding the Difference Between Factor and Cluster Analysis

Cluster analysis and factor analysis are two different statistical methods in data analytics which are used heavily in analytical methods of subjects like natural sciences and behavioural sciences. The names of these analytical methods are so because both these methods allow the users to divide the data into either clusters or into factors.

Most newly established data analysts have this common confusion that both these methods are almost similar. But while these two methods may look similar on the surface but they differ in several ways including their applications and objectives.

Difference in objectives between cluster analysis and factor analysis:

One key difference between cluster analysis and factor analysis is the fact that they have distinguished objectives. For factor analysis the usual objective is to explain the correlation with a data set and understand how the variables relate to each other. But on the other hand the objective of cluster analysis is to address the heterogeneity in the individual data sets.

Put in simpler words the spirit of cluster analysis is to help in categorization but that of factor analysis are a form of simplification.

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Difference is solutions:

This is not an easy section for drawing a line of separation in between cluster and factor analysis. That is because the results or solutions obtainable from both these analysis is subjective to their application. But still one could say that with factor analysis provides in a way the ‘best’ solutions to the researcher. This best solution is in the sense that the researcher can optimize a certain aspect of the solution this is known as orthogonality which offers ease of interpretation for the analysts.

But in case of cluster analysis this is not the case. The reasons behind that being all algorithms which can yield the best solutions for cluster analysis are usually computationally incompetent. Thus, researchers cannot trust this method of cluster analysis as it does not guarantee an optimal solution.

Difference in applications:

Cluster analysis and factor analysis differ in how they are applied to data, especially when it comes to applying them to real data. This is because factor analysis can reduce the unwieldy variables sets and boil them down to a smaller set of factors. This makes it suitable for simplifying otherwise complex models of analysis. Moreover, factor analysis also comes with a sort of confirmatory use researchers can use this method to develop a set of hypotheses based on how the variables in the data set are related.  After that the researcher can run a factor analysis to further confirm these hypotheses.

But cluster analysis on the other hand is suitable only for categorizing objects as per certain predetermined criteria. In cluster analysis a researcher can measure selected aspects of say a group of newly discovered plants and then place these plants into categories of species grouped by employing cluster analysis.

Here is an infographic to better explain the difference between cluster analysis and factor analysis: 

 

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The Dark Data on Why Crime Against Women are on The Rise in India

India, a land known for its diversity, rich heritage, culture, colourful and flavoursome food, a never-ending list of occasions and holidays and the slightly recent addition of rape and other violent crimes against women!

 

The Dark Data on Why Crime Against Women are on The Rise in India

 

We though enraged by the death toll of Nibhayas’ in Delhi and the rest of the country are not here to write an infuriating open letter to the World Wide Web. When India’s daughter, the documentary made by a British film-maker made big news after its release on YouTube, the country’s protectors and ‘patriots’ jumped right in with a concoction of nicely cooked data showcasing how the rate of crime against women are similar in the UK as it is in India! But we as a data-friendly nation often forget the main utility of data analysis. Continue reading “The Dark Data on Why Crime Against Women are on The Rise in India”

A Deeper Look at Rajnikanth’s Movie Kabali from the Perspective of a Data Analyst

A Deeper Look at Rajnikanth’s Movie Kabali from the Perspective of a Data Analyst

As we can see from the above analytical assessment that while sultan needed the help of other factors like a special occasion such as Eid, Kabali’s success which is almost unmatchable to the success of Sultan needed no such push. The numbers suggest that Kabali was able to make a bigger splash in the overseas fan base Sultan was only able to rule its own country’s fan base.

 

These were simply the statistical reports on the comparison of the above mentioned two films done with the help of SAS. We in no intend to spark a war between the fan-bases of respective actors and respect both their talents in their own domain. Who’s to say who the real Sultan of Indian Film Industry is still a question too big for simple data folks to ascertain. May be you could help us find an answer to this unique analytical problem? Feel free to add your thoughts in the comments below. 

 

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An Analysis of The Growing Popularity Of Pokémon Go

The virtual 8 bit Pokémon universe has now been unleashed into our HD smart phone screens which we carry with us everywhere. And there are players of this popular game walking around on their two feet with eyes glued to the mobile screen with the unrelenting thirst of catching them all! But why?! Why is this game of an almost forgotten popular cartoon show suddenly creating such an overwhelming hype? This craze of capturing all these digital monsters that have been placed in ones neighbourhood using the ingenious AR Technology, definitely a great time for game-lovers to be alive.

 

An Analysis of The Growing Popularity Of Pokémon Go

 

This game just released last Wednesday and has instantaneously become a growing global hit. This game has done the impossible, where the stereotypical imagery of computer nerds and gamers being over-weight or lazy and sitting around on their couches, have been transformed over-nightly into walkers around their parks, street corners and houses in search of these amusing virtual creatures. Even people who are older than the original fandom of the Pokémon series are now walking about to catch them all. The charm of augmented reality is such that it is sending the Android community in a frenzied treasure hunt like children. Continue reading “An Analysis of The Growing Popularity Of Pokémon Go”

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