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Machine Learning (ML) is widely applied to businesses of all sizes and across disciplines. The capabilities of machine learning to compute a vast amount of data while developing intelligent algorithms allows humans to explore their creative ambitions. In the background, ML crunches data and automates mundane tasks. In short, ML allows systems to learn complex tasks and improve them without being directly programmed.

Being called the fastest-growing technology, choosing a career in machine...

Hey Alexa, play some music! Hey Alexa, what is the cricket score today?Have you ever had interactions like these?

If so, as a user, you have pretty much explored artificial intelligence at length!

Deep learning, commonly known as a neural network, is the approach that artificial intelligence (AI) uses. The concept of artificial intelligence was originally proposed in 1944 by two researchers, Warren McCullough and Walter Pitts, from the University of Chicago, USA. 

One of the key sources of data for both organizations and researchers is the internet. While one could copy-paste relevant information from webpages and transfer it to excel sheets, CSV, and TXT files, it isn't feasible if larger data sets are required. So, how are larger data sets collected by Data Scientists from the internet?

One of the most frequent, and time-consuming tasks that Data Scientists have to perform is collecting data and cleaning it.

Web Scraping

While web-based data...

The rate at which information is being generated in the world is exponential. This ever-increasing volume of information is referred to as “Big Data”. From academic institutions and large corporations and governments to just individuals - everyone has a lot of data, from servers, and hard disks to smartphones.

Is there anything we can learn from this historical data? Yes, and an entire branch of study has sprung up that is dedicated to finding ways and means to sift through and analyze large...

Tableau is the most powerful, secure, flexible and fastest-growing data visualization tool used in the Business Intelligence Industry. It elevates people with the power of data. It is the best way to change or transform the raw set of data into an easily understandable format with zero technical skills and limited coding knowledge.

What is Data Blending?

Blending means mixing or combining things together. Usually, creating a new dataset requires lots of effort, and it will be time-consuming....

For many job-seeking professionals, interviews can be terrifying. Glassdoor reports that every job offer in the corporate world attracts 25 applicants. Out of those, only four to six get called for an interview, and out of that, only one gets the job.

Competition is tough. Cracking an interview is no funny business. This is why every professional should not just strive to be technically sound but also ask the interviewer a couple of questions to determine if you, as their employee, would be...

Data science has rapidly become a popular career choice in recent times. Data science is a multidisciplinary domain which means people from different backgrounds can take it up as a career (Here's the perfect parcel of information to learn data science). But how does one go about becoming a good Data Scientist?

Key takeaways from the session:

 1. What skills are needed to be a Data Scientist?

 2. How much effort and time is required to acquire these skills?

3. What are the...

The list of questions relating to a resume and CV is widespread and for a good reason. It is because both tools have a striking resemblance, but they are different. Many people, including professionals and industry experts, do not know the difference between a CV and a resume.

Put the question across to a professional community, and only a few will answer correctly - what is a CV? What is curriculum vitae? And what is a resume? In other words, merely a small percentage of respondents will be...