In this blog post, I will explain how machine learning fits into the broader landscape of data and computer science. This means understanding how machine learning interrelates with parent fields and sister disciplines. This is important, as these are the terms you will see time and again when searching for relevant study materials and hear […]
In this post, I’ll break down the process of data modeling into steps and look at each one separately, but before that I’ll be defining it. What is data analysis? You have to know exactly what data analysis is before you can understand the process. Analysis of data is the procedure of first of all […]
No one has the ability to capture and analyze data from the future. However, there is a way to predict the future using data from the past. It’s called predictive analytics, and organizations do it every day. In this blog post, I’ll be taking a look at predictive analytics, starting with what it is and how […]
In my previous post, I talked about 5 mistakes that most beginners make while learning data science. Continuing the series, today I am going to talk about few more mistakes that beginners should avoid when learning data science. Let’s get started… 1) Learning just the theoretical concepts You can keep on learning as many theoretical […]
What motivates you? Who do you turn to when you need a push to keep you going? I bet it’s other people. People help us make the big changes in our thinking and in the way we choose to spend every day of our lives. The quote I have as my wallpaper says: “Don’t let […]
There are a handful of extremely common mistakes that you should never make while learning data science. These pitfalls can make it incredibly difficult to gain momentum early in the process. So, if you’re just starting out, remember to avoid these common missteps. 1) Not learning data cleansing Steve Lohr of The New York Times said: “Data scientists, according to interviews and […]
We want organizations to succeed with data. But succeeding with data isn’t just a matter of putting some Hadoop in your machine room, or hiring some physicists with crazy math skills. Succeeding with data requires real cultural change. It requires learning how to have a discussion about the data — how to hear what the […]
It is estimated that the digital data growth will reach up to 40 zettabytes/45 trillion gigabytes by the end of this decade. That is a massive 50-fold growth in data. So, what is being done with all this data? This is where Data Science comes into play. Data Science is being acclaimed as the sexiest job […]
Big data is a popular topic these days, not only in the tech media, but also among mainstream news outlets. Managers feel big data can provide significant business benefits. It can help businesses gain insights in order to make faster & more informed decisions. All major industries are now turning to big data, and Hadoop is […]
Originally appeared on Analytics India Mag. The Indian IT industry is in the throes of a mid-life crisis riled by a deep slowdown which is resulting in redundancy and job losses. But as the sun sets in the IT industry in India as we know it, another sun is rising in the form of the […]
