The top 15 most frequently asked questions about our EICT (IIT Roorkee) Data Engineering with Hadoop and Spark course

1. What is EICT and how is it related to IIT Roorkee?

Electronics & ICT Academy, part of the IIT Roorkee, is an initiative of Ministry of Electronics and Information Technology (MeitY), Govt. of India.

The E&ICT Academy IIT Roorkee conducts short courses and Faculty Development Programmes (FDP) in the emerging areas to enrich and upgrade subject knowledge and technical skills benefiting faculties, working professionals and Govt. employees.

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Upskill your workforce in partnership with CloudxLab

Henry Ford (Founder of Ford Motor Company) once said- The only worse thing than training your employees and having them leave is not training them and having them stay”.  

Most organizations face this dilemma and sometimes choose not to upskill their workforce only to impede its own growth and relinquish opportunities of gaining competitive advantage. While organizations actively promoting workforce learning & development (L&D) often face indifferent employee behaviours to such initiatives. There are other concerns as well, such as- customised learning platforms, hands on learning, training quality, accreditation, post training support and what not……..

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9 Indian Mathematicians Who Transformed The Norms Of Knowledge- Now It’s On Us

Mathematics is the science which deals with the logic of quantity, shape, and arrangement. Undeniably, math is all around us, in fact in everything we do. It wouldn’t be wrong to say, math is the building block for everything in our daily life period. Money, sports, architecture (ancient and modern), television, mobile devices, and even art, all of it has some mathematical concepts involved in it.

In India, mathematics has its origins in Vedic literature which is nearly four thousand years old. It should come as no surprise that the concept of number ‘0’ was discovered in India; also, various treatises on mathematics were authored by Indian mathematicians. The techniques of trigonometry, algebra, algorithm, square root, cube root, negative numbers, and the most significant decimal system are concepts which were discovered by Indian mathematician from ancient India and are employed worldwide even today.

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One-on-one discussion on Gradient Descent

Usually, the learners from our classes schedule 1-on-1 discussions with the mentors to clarify their doubts. So, thought of sharing the video of one of these 1-on-1 discussions that one of our CloudxLab learner – Leo – had with Sandeep last week.

Below are the questions from the same discussion.

You can go through the detailed discussion which happened around these questions, in the attached video below.

One-on-one discussion with Sandeep on Gradient Descent
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Women’s Day 2019 – Showcasing 11 Incredible Women In AI Today

You already know that artificial intelligence is grabbing the world, transforming nearly every industry, business, trade, and function. But what you might not know are the incredible AI technologist and researchers powering the edge of this momentous revolution. 

Breakthroughs in AI are incredible, isn’t it? But how does it all occur? It’s when extremely talented and diverse thinkers from unique backgrounds, disciplines, expertise, and perspectives come forward. You might think of names like Andrew Ng (Baidu), Amit Singhal (Uber), Elon Musk (SpaceX & Tesla), Ginni Rometty (IBM) and Ray Kurzweil (Google) – but wait why all men?

2019 March, on International Women’s Day, CloudXLab aims to showcase 11 incredible women in AI.

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Career In Artificial Intelligence: Myths vs. Realities

In recent years, career opportunities in artificial intelligence (AI) has grown exponentially to meet the rising demand of digitally transformed industries. But while there are amply of jobs available in AI, there’s a momentous shortage of top talent with the essential skills. But why does this demand and supply gap exist? Many aspiring candidates wish to join the AI bandwagon, but several myths hold them behind.

Job site Indeed highlights, the demand for AI skills has doubled over the last 3 years, and the total number of job postings has upsurged by 119 percent. But, job-aspirants interest in a career in artificial intelligence seems to have leveled off. This clearly indicates employers are struggling to get good talent. This is surely good news for all those planning to transit their careers into AI!

Well, building a career in artificial intelligence demands a self-controlled approach. You might be interested in a career switch because of the exciting opportunities floating in this booming industry or maybe for that long deep-rooted interest to pursue AI as a career. Regardless of what your inspiration is, the first step to moving ahead in the AI career path is to ditch the myths and misconceptions that for long has been blocking your path.

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Use-cases of Machine Learning in E-Commerce

What computing did to the usual industry earlier, Machine Learning is doing the same to usual rule-based computing now. It is eating the market of the same. Earlier, in organizations, there used to be separate groups for Image Processing, Audio Processing, Analytics and Predictions. Now, these groups are merged because machine learning is basically overlapping with every domain of computing. Let us discuss how machine learning is impacting e-commerce in particular.

The first use case of Machine Learning that became really popular was Amazon Recommendations. Afterwards, the Netflix launched a challenge of Movie Recommendations which gave birth to Kaggle, now an online platform of various machine learning challenges.

Before I dive deep into the details further, lets quickly brief the terms that are found often confusing. AI stands for Artificial Intelligence which means being able to display human-like intelligence. AI is basically an objective. Machine learning is making computers learn based on historical or empirical data instead of explicitly writing the rules. Artificial Neural networks are the computing constructs designed on a similar structure like the animal brain. Deep Learning is a branch of machine learning where we use a complex Artificial Neural network for predictions.

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What are the pre-requisites to learn big data?

Pre-requisites for Big Data Hadoop

We, at CloudxLab, keep getting a lot of questions online, sometimes offline, asking us

“I want to learn big data. But, just don’t know whether I am eligible or not.”

“I am so and so, can I learn big data?”

We have compiled the most common questions here. And, we will answer each one of them.

So, here we go.

What are those questions?

  1. I am from a non-technical background. Can I learn big data?
  2. Do I need to know programming languages such as Java, Python, PHP, etc.?
  3. Or, since it is big data, do I need to know any other relational databases such as Oracle or in general do I need to be well versed with SQL?
  4. And also, do I need to know the Unix or Linux?

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Top Machine Learning Interview Questions for 2019 (Part-1)


These Machine Learning Interview Questions, are the real questions that are asked in the top interviews.

For hiring machine learning engineers or data scientists, the typical process has multiple rounds.

  1. A basic screening round – The objective is to check the minimum fitness in this round.
  2. Algorithm Design Round – Some companies have this round but most don’t. This involves checking the coding / algorithmic skills of the interviewee.
  3. ML Case Study – In this round, you are given a case study problem of machine learning on the lines of Kaggle. You have to solve it in an hour.
  4. Bar Raiser / Hiring Manager  – This interview is generally with the most senior person in the team or a very senior person from another team (at Amazon it is called Bar raiser round) who will check if the candidate fits in the company-wide technical capabilities. This is generally the last round.

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