Category Archive: data analytics

Researchers Peer into the Hood of Computational Linguistics

Researchers Peer into the Hood of Computational Linguistics

 

To start, give a look at these two sentences:

“This house is in a detestable location.”

“This detestable house is in this location.”

 

Well, these two sentences have virtually similar words, but owing to their structure, they exude entirely two different meanings. Understanding the true meaning of the sentences just by having a look at the words was something only reserved for the human intelligence, until now. Breakthroughs in Natural Language Processing (NLP), also known as computational linguistics have blazed a trail in this domain, which was once dominated by humans.

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How Data Analytics Influences Holiday Retail Experience [Video]

Thanksgiving was right here! Half of the globe witnessed some crazy shopping kicking off the entire holiday season, and retailers had a whale of a time, offering luscious discounts and consumer gifts at half the prices.

 
How Data Analytics Influences Holiday Retail Experience
 

Before the weekend Thanksgiving sale, 69% of Americans, close to 164 million people across the US were estimated to shop– and they had planned to shell out up to 3.4% more money as compared to last year’s Black Friday and Cyber Monday sale. The forecasts came from National Retail Federation’s annual survey, headed by Prosper Insights & Analytics.

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Master These Piping Hot Data Analytics Techniques and Stay Ahead of the Curve [Video]

Big Data, Business Intelligence, Data Science – the digital revolution is here, and it’s evolving steadfastly.

 
Master These Piping Hot Data Analytics Techniques and Stay Ahead of the Curve [Video]
 

Soon, data analytics is becoming the life-source of IT. The range of technologies is varied, and the way data is expanding, we are fast moving towards a juncture where analysis of vast volumes of data will be done in a jiffy.

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Data to Fill in the Gaps: Using Data Analytics to Seek Retail Advantage

Retailers need to know their customers well – who they are, what stuffs they like to buy, how they would pay and what they think about the product or service. The best part is that there’s an ocean of data now available to fill in the gaps. Every time a customer visits the store, a long trail of customer data churns out for the retailers to explore.

 
Data to Fill in the Gaps: Using Data Analytics to Seek Retail Advantage
 

With the help of this data, the retailers improve sales figures, customer service and interaction and their product offerings. Leveraging data is crucial. According to Gartner, retailers seek advanced analytic capabilities to shine bright in this age of digitized market solutions.

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Data Science and Machine Learning: In What State They Are To Be Found?

Keen to have a sweeping view of data science and machine learning as a whole? 

Want to crack who is playing tricks with data and what’s happening in and around the budding field of machine learning across industries?

Looking for ways to know how aspiring, young data scientists are breaking into the IT field to invent something new each day?

Hold your breath, tight. The below report showcases few of our intrinsic findings – which we derived from Kaggle’s industry-wide survey. Also, interactive visualizations are on the offer.

  1. On an average, data scientists fall under the age bar of 30 years old, but as a matter of fact, this age limit is subject to change. For example, the average age of data scientists from India tends to be 9 years younger than the average scientists from Australia.
  2. Python is the most commonly used language programs in India, but data scientists at large are relying on R now.
  3. Most of the data scientists are likely to possess a Master’s degree, however those who bags a salary of more than $150K mostly have a doctoral degree under their hood.

Who’s Using Data?

A lot of ways are there to nab who’s working with data, but in here we will fix our gaze on the demographic statistics and the background of people who are working in data science.

What is your age?

To kick start our discussion, according to the Kaggle survey, the average age of respondents was 30 years old subject to some variation. The respondents from India were on an average 9 years younger than those from Australia.

What is your employment situation?

What kind of job title you bag?

Anyone who uses code for data analysis is termed as a data scientist. But how true is this? In the vast realm of data science, there are a series of job titles that can be pegged. For instance, in Iran and Malaysia, the job title of data scientist is not so popular, they like to call data scientists by the name Scientist or Researcher. So, keep a note of it.

How much is your full-time annual salary?

While “compensation and benefits” ranked a little lower than “opportunities for professional developments”, the best part remains it can still be considered a reasonable compensation.

Check out how much a standard machine learning engineer brings home to in the US

What should be the highest formal education?

So, what’s going on in your mind? Should you get your hands on the next formal degree? Normally, most of the data scientists have obtained a full-time master’s degree, even if they haven’t they are at least data analytics’ certified. But professionals who come under a higher salary slab are more likely to possess a doctoral degree.

What are the most commonly used data science methods at work?

Largely, logistic regression is used in all the work areas except the domain of Military and Security, because in here Neural Networks are being implemented extensively.

Which tool is used at work?

Python was once the most used data analytics tool, but now it is replaced by R.

The original article can be viewed in Kaggle.

Kaggle: A Brief Note

Kaggle is an iconic platform for data scientists, allowing ample scope to connect, understand, discover and explore data. For years, Kaggle has been a diverse platform to drag in hundreds of data scientists and machine learning enthusiasts, and is still in the game.

For excellent data science certification in Pune, look no further than DexLab Analytics. Opt for their intensive data science training in Pune and unlock a string of impressive career milestones.

Interested in a career in Data Analyst?

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Embedded Analytics: How it’s Revolutionizing Businesses Today?

Embedded Analytics: How it’s Revolutionizing Businesses Today?

 

Analytics is the key to modern business growth. But, developing it as a highly interactive analytical interface is challenging enough to exhaust the time and resources both. As a result, many businesses are shifting their focus to Embedded Analytics (EA) for their operations, workflows and decision-making capabilities. This new breed of analytics, known as Embedded Analytics helps businesses leverage the power of data to process them in the most useful manner.

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Write ETL Jobs to Offload the Data Warehouse Using Apache Spark

The surge of Big Data is everywhere. The evolving trends in BI have taken the world in its stride and a lot of organizations are now taking the initiative of exploring how all this fits in.

 
Write ETL Jobs to Offload the Data Warehouse Using Apache Spark
 

Leverage data ecosystem to its full potential and invest in the right technology pieces – it’s important to think ahead so as to reap maximum benefits in IT in the long-run.

 

“By 2020, information will be used to reinvent, digitalize or eliminate 80% of business processes and products from a decade earlier.” – Gartner’s prediction put it so right!

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3 Stages of a Reliable Data Science Solution to Attack Business Problems

Today, businesses are in a rat race to derive relevant intuition and make best use of their data. Several notable organizations are skimming with cutting edge data science terms and resolving intricate problems (some being more successful than others).

 

3 Stages of a Reliable Data Science Solution to Attack Business Problems

 

However, the crux lies in determining the present stage of data science your organization has embraced, followed by ascertainment of the desired level of data science.

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Quantum Internet Is Now Turning Into a Reality

Quantum Internet Is Now Turning Into a Reality
 

Scientists across the globe are looking forward towards formulating new methods to realize ‘quantum internet’, an unhackable internet, which connects particles linked together by the principle of quantum entanglement. In simple terms, quantum internet will entail multiple particles striking information at each other in the form of quantum signals – but specialists are yet to figure out what it actually does beyond that. The term ‘quantum internet’ is quite sketchy at this moment. There’s no real definition of it as of now.

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Automation Doesn’t Necessarily Make Humans Obsolete, Here’s Why

Machines are going to eat our jobs.

 

AI is handling insurance claims and basic bookkeeping, maintaining investment portfolios, doing preliminary HR tasks, and performing extensive legal research and lot more. So, do humans stand a chance against the automation apocalypse, where everything, almost everything will be controlled by robots?

 
Automation Doesn’t Necessarily Make Humans Obsolete, Here’s Why
 

What do you think? You might be worried about your future job opportunities and universal basic income, but I would ask you to draw a clearer picture about this competing theory – because, in the end, this question might not even be a plausible and completely valid question. Why, I will tell you now.

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