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Complete study of COVID-19 in India (Part II) – Laboratory and Testing

Complete study of COVID-19 in India  (Part II) – Laboratory and Testing

The first case of the 2019-2020 Coronavirus pandemic in India was reported on January 30, 2020, originating in China. Experts suggest the number of infections could be much higher as India’s testing rates are among the lowest in the world. The infection rate of COVID-19 in India is 1.7, significantly lower than in the worst affected countries.

The World Health Organisation chief executive director of health emergencies program Michael Ryan said that India has “tremendous capacity” to deal with the coronavirus outbreak, and as the second most populous country, will have enormous impact on the world’s ability to deal with it.

DexLab Analytics, in the first part of this blog series, studied the statewise breakup of COVID-19 cases in India through a Jupyter Notebook. Libraries were called, maps were drawnand data was taken from Kaggle.

The data and code sheet can be found below.

 

In this part of the blog series we will study how states are performing with regard to laboratories and testing. First we make three data sets – that of confirmed cases, recovered cases and cases of deaths.

We first plot this data on a graph and study it carefully. Then we make a pivot table and study the data. We then also study which state is performing how many tests on people. Kerala is found to have done the maximum number of tests (Fig.1.).

Fig. 1.

Complete study of COVID-19 in India (Part II) – Laboratory and Testing

The purpose of this video is to teach you how to use visual graphs in Python. Now we aim to find why testing is underdone in states. Is there a possibility of a lesser number of labs in the first place? We get a graph (Fig. 2.) that shows us how many labs each state has for testing COVID-19 samples.

Fig. 2.

Complete study of COVID-19 in India (Part II) – Laboratory and Testing

For the complete study watch the video attached herewith. This study was brought to you by DexLab Analytics. DexLab Analytics is a premiere Artificial Intelligence training institute in Gurgaon.


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Complete Statewise Study on COVID-19 in India (Part I)

Complete Statewise Study on COVID-19 in India (Part I)

The first case of the 2019-2020 Coronavirus pandemic in India was reported on January 30, 2020, originating in China. Experts suggest the number of infections could be much higher as India’s testing rates are among the lowest in the world. The infection rate of COVID-19 in India is 1.7, significantly lower than in the worst affected countries.

The World Health Organisation chief executive director of health emergencies program Michael Ryan said that India has “tremendous capacity” to deal with the coronavirus outbreak, and as the second most populous country, will have enormous impact on the world’s ability to deal with it.

Other commentators worried about the economic devastation caused by the lockdown that has huge effects on informal workers, micro and small enterprises and farmers and self employed people who are left without a livelihood in the absence of transportation and access to markets.

The lockdown was justified by the government and other agencies for being pre-emptive to prevent India from entering a higher stage which could make handling very difficult and cause even more losses thereafter. According to a study by Shiv Nadar University, India could have witnesses a surge of 31,000 cases between March 24 and April 14 without lockdown.

So we call a Jupyter Notebook in Python to study India’s COVID-19 story.

The data and code sheet used in this study can be found below.

 

We will first import all libraries like pandas and numpy. All the data has been taken from kaggle. We then take the data and work a dataframe on it. And then we generate an India map to study the spread of SARS-CoV-2.

Fig. 1.

Complete Study of COVID-19 in India (Part 1)

For more on this, please watch the complete video attached herewith. This study was brought to you by DexLab Analytics. DexLab Analytics is a premiere Artificial Intelligence training institute in Gurgaon.

 


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Exploring New Avenues of Alliance Between Microsoft and Artificial Intelligence

Exploring-new-avenues-of-alliance-between-Microsoft-and-Artificial-Intelligence

Artificial Intelligence is perhaps the ‘trending’ term of the technological paradigm. Microsoft is quite a honcho in the arena of Artificial Intelligence. This statement is further enhanced by Andrew Shuman, the Corporate VP for Microsoft AI and research Group. At the Microsoft’s annual Build Developer’s conference, he regarded “If I think about the kind of AI revolution that’s going on, it’s very much created by new increase in data being available and cloud service being able to run millions of computations”.

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Pertaining to the situation, it is true that Microsoft certainly has all the essential data, in comparison to the other IT companies, which has won the company a premier position in the field of AI. The data includes 100 million Office 365 subscribers and, in OneDrive and certainly has the cloud based services.

Also read: Artificial Intelligence: What the Future Holds for India, Next to US

Now the next section would deal with the utilities of AI in certain sectors:

AI for Office uses – Hard to find a single soul unaware of Microsoft’s Office productivity. But on the downside, the users need to deal with certain upheavals, sometimes causing a lot of difficulties. This entire process, now teamed up with AI, ensures a butter smooth flow of the software.

  • Power Point– The Quick Starter takes the aid of AI to search for the right template based, sometimes, on a single word it is typed into one of the slides. However, behind the scenes, it is actually dependent on the vast well of the structured Bing data.

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  • The Designer Service is also used for image presentations, in the quest for the congruence of faces and even colors that can influence template design choices.
  • AI also enriches Power Point presentations as a cognitive vision system exploring pictures and auto-generating the ALT-Text for them.

  • The Focused Inbox Option in Outlook is mainly supported by the cloud- based machine learning, where the system enriches itself through explicit and implicit The recent past has seen this software gaining much eminence in the Android and IOS versions of outlook.

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  • The last utility is the End –user control, a common theme found across all of Microsoft’s AI It refers to the tools to be personalized to the users. This ensures that the changes often rejected in the Word would be no longer flagged in the writing.

The Cortana Complication In one word, Cortana is the public face for Microsft’s AI work. The voice assistant installed in million of desktop to be an aid to the users, it is mainly regarded as a hazard with the majority of the Windows users opting for the text box , next to the start button, to type in their queries. Even after this, Microsoft is still being enthusiast to project Cortana as the face and of AI efforts. Microsoft is actually working hard to set it as a household name on the AI front, with its latest discovery of Cortana Speakers, coming to the fore front sometimes next week. On being asked, if Cortana is the main obstacle then why Microsoft doesn’t restore all their efforts for the effective building of the software, Shuman answered, “I think we need to be careful about where we make it Cortana and where we don’t. To me it implies a full set of capabilities instead of little nuggets.”

Also read: Learn to Surf on the Three Waves of Artificial Intelligence

Thus to conclude, whether it is with or without Cortana, Microsoft remains the leading brand name in the AI sector. This again has been explained by Shuman as “We are without a doubt infusing intelligence and understanding in all of our products in ways that’s very shared and shareable,”

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So, that was all about the utilities of AI. Feel free to share the latest information. Also, enroll for the Artificial Intelligence Certification Courses only at www.www.dexlabanalytics.com

 

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Conducting Intensive Workshops – A Holistic, Exhaustive and Multidimensional Approach to Learning

Knowledge was scattered treasure; education organized it into art, commerce and science.

― Amit Kalantri – a magician, mentalist and an author

 

Conducting Intensive Workshops – A Holistic, Exhaustive and Multidimensional Approach to Learning

 

St. Stephen’s College, Delhi presents the magnanimous Academic Conclave 2017 – an initiative to endorse intellectual exuberance of the college and to strengthen interdisciplinary education across myriad fields of study. Often, the term ‘Academics’ is misinterpreted as ‘boring’ but once you attend this stellar event, you will definitely get a sneak peek of a perfect amalgamation of enthusiasm and comprehensive knowledge offered to the up-and-coming scholars of India. The intent is to establish a common accessible platform for incubation of ideas, interaction of thoughts and infestation of intellectuality and what can be better than host interactive workshop sessions! Besides lectures and keynote addresses, workshops are being conducted to encourage an easy interaction between the students and stalwarts of specific domains.

Continue reading “Conducting Intensive Workshops – A Holistic, Exhaustive and Multidimensional Approach to Learning”

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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