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Rarely do things capture the public imagination so much as Artificial Intelligence. It is a lot like Marmite - you either love it or hate it. For many of us, it’s a super helpful technology that simplifies and amplifies our lives. For others, it’s a portent of doom and industrial upheaval. There are a lot of ways in which Artificial Intelligence makes our lives a lot better, but it would be unwise to ignore the various ways it can - and does - go wrong.

Artificial Intelligence is the ability...

Machine learning (ML) is one of the most used technologies in the world. It provides smart business solutions for companies of all sizes. Machine learning works like this: developers use data to develop algorithms that learn patterns. These patterns then find insights that add value to a company.

The technology then makes predictions from that data. This is called predictive analytics. It can do so without human intervention. Some of the biggest companies out there use machine learning,...

Intelligence and Machine Learning are the latest tech buzzwords. They are found on marketing materials, news headlines, and pitch decks. Crammed onto nearly every new product description, they have gone from obscurity to being the hottest trend in a short space of time. Despite decades of existence, they seem to have come to prominence out of nowhere.

It is not uncommon for this to happen. We love to attach words like ‘Synergy’ or ‘Hyperlocal’ to things without quite understanding what they...

Artificial intelligence sometimes seems like a magic bullet, a one-size-fits-all solution. In reality, machine learning algorithms are more like a toolbox. One might be fine-tuned for speech recognition. Another works for self-driving car perception, and a third creates stylized art. So which algorithms fit well for each task? Below are a few types of machine learning algorithms that every machine learning engineer must know.

Image Processing - Convolutional Neural Networks

Source: ...

Enter a quick search on Google News for ‘Machine Learning.’ The first article that pops up? ‘How to differentiate between AI, Machine Learning’ and ‘Deep Learning.’

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This reinforces a conversation I had with a seasoned IT consultant recently. He told me that two years ago there was a great deal of excitement about Machine Learning (ML). Everyone reveled in the potential to optimize and automate, well, pretty much everything. Today, he's concerned the...

This document contains a list of 50 very important Informatica PowerCenter questions that are a must-read before attending an interview.

Informatica PowerCenter is an ETL(Extract Transform and Load), which can extract information from various source systems such as Database, Flat files, XML, etc., and transforms the extracted information according to the requirement and loads it into a target that can be again the Database, Flat files, XML, etc.

Most asked interview questions for Informatica...

Artificial intelligence and machine learning are the buzzwords these days. These are technologies that have been introduced in every industry, cybersecurity has also joined the bandwagon. Attacks and incidents in the past have proved that companies need to respond faster to security incidents. Attacks are increasing in number and in volume these days, so companies are automating tasks using AI and ML. We need the system to analyze the behavior of the bad guys, identify new vulnerabilities, and...

We shall talk about Business Analytics here. We will try to spend a little time on each of these slides and make sure that you understand every bit of it. We can pause the training in case there is any confusion. Nowadays, we usually hear a lot about buzzwords like data mining, machine learning, artificial intelligence, robot, etc. I have seen many companies talking about robotic process automation too. So, where do they come from? The statistical analysis of robotic process automation is one...

More than 80% of Data Science jobs demand three to five years of experience from you. But there’s no denying it; data science is the hot job of the future.

Albeit, you’ve got to be a pro from day zero!

Despite it being a new line of profession, data science commands huge money. Advertised jobs pay upwards of $80,000 on average, exceeding jobs requiring a university degree by over $8,000.

In short, data scientists earn top dollar for what they do.

And the Good News?

There’s still enough room...

Sentiment Analysis is the process of computationally determining whether a piece of content is positive, negative or neutral. It is also known as Opinion Mining.

Why Sentiment Analysis?

Sentiment Analysis is mainly used to gauge the views of public regarding any action, event, person, policy or product. It has become a very potent weapon even for politicians to assess the public reaction over their statements (also consider checking out this perfect parcel of information for data science degree