If you are a recent graduate or someone preparing for your first data scientist position, then here are some tips to help you ace your interview!…

Python is the most loved, dreaded, and wanted programming languages by most developers, according to StackOverflow survey.  Popular among most professional software developers, Python was ranked the world’s seventh popular programming language.

A study by PYPL Popularity of Programming Language Index (a study that monitors the frequency of searches regarding the popular programming languages to learn) predicted that it showed that there was a growth of 17.1% during the last…

Data science is a growing and promising discipline that has impacted various domains, including higher education. Owing to its ability to use precise methods and platforms to extract insights from data, several academic institutions are incorporating data science into their operations and educational curriculum. This helps them engage students, improve educational…

Let me start off with a few common assumptions about the subject of this write up "Four Powerful People Skills For Data Scientists", and my take on each of them based on my experience and observations.

1. Common Assumption: People skills are just "fluffy" soft skills

Soft skills are often referred to as "the fluffy stuff". People skills in particular, top the list of fluffiness, in many people's…

In this digital age, the threats against an organization’s data are massive and the consequences of a breach are extremely devastating for a business. So it has become important to consider various factors when it comes to secure databases.

Our world is on a huge risk of data theft and a few months ago, Facebook data breach news proved this.…

Whether we know it or not, we use Natural Language Processing every day. It makes it easier for us to interact with computers and software and allows us to perform complex searches and tasks without the help of a programmer, developer or analyst.

In this, the last article in our three-article series we discuss Natural Language Processing and…

Data is growing at an unimaginable speed. Data has been and will be the most crucial driving factors behind day-to-day activities that we carry out. As we talk, tons and tons of data---in exabytes is being added and processed each day, making it difficult to handle such an astronomical amount. There lies one major difficulty in handling such large amount of data. Since the volume is increasing rapidly in comparison to the computing resources, we find it…

Introduction

Big data is the buzzword today, isn’t it?

We live in the golden age of what…

The internet is evolving day by day, and when users shop online, they are flooded with thousands of results, leaving them in a dilemma to choose the best possible product that suits their requirements. Have you ever thought of how Google Ads precisely knew what you need and display…

A.I. based automated Anomaly detection system is gaining popularity nowadays due to the increase in data generated from various devices and the increase in ever evolving sophisticated threats from hackers etc. Anomaly detection systems can be applied across various business scenarios like monitoring financial transactions of a fintech company, highlighting fraudulent activities in a network, e-commerce price glitches among millions of products, and so on. Anomaly detection system can work…

Data for Business Performance is using data in operations, compliance, and decision making. However, in most cases the available data in business enterprises is of poor quality. An article in Harvard Business Review (HBR) says – just 3% of the data in a business enterprise is of good quality. In this backdrop, what can be done to improve data quality? While there are many solutions to improve data quality, one option is to capture the important data entities i.e. master data using data…

When we look at broadly different kinds of Machine Learning that are used in practice in Artificial Intelligence

Historically, there have been several approaches in Machine learning for AI like supervised learning, unsupervised learning, reinforcement learning, case-based reasoning, inductive logic programming, experience based generalisation etc. there have been several examples of waves of machine learning for different AI problems. But, of them the 3 most important categories of…

AI is a new buzzword but there has been a lot of talk around analytics and prospects over a decade. Here we present a perspective that AI is a continuum of Analytics

Let us see how...

Different approaches in Data Science and analytics have been originated in the field of statistics.

AI has emerged on the other hand out of computer science as a practice and science of studying "intelligent agents". 

The way is to treat AI as extending conventional analytics with a…

A complete guide to K-means clustering algorithm

Everything you need to know about a top algorithm in Machine Learning

The Merriam-Webster dictionary defines the word 'augment' this way: 'to make greater, more numerous, larger or more intense'. If you are wondering how this applies to the term 'augmented analytics', you are not alone. Let's take a closer look at Augmented Analytics and talk about why it has gotten so much attention in the business intelligence world.

What is Augmented…

You gave everything that you had in your Data Science training. What is next? The hunt for a suitable job, right? Do you know what all the career opportunities you are likely to have once your training is over? If your answer is a no, then this is the article specially for you. Also, if it is yes, then also you can give this article a read as you may learn something new. This article will list out the myriad of career opportunities that you will have once your training in Data Science is…

According to the “Future of Jobs 2018” report, it is said that with advancement in machines and artificial intelligence it is likely that these technologies will replace 75 million jobs by 2020. Data scientist remains to be one of the trending careers, and those interested in pursuing data science as a career must first have the right skill set to land a job in this field.  

As more companies become data-driven, professionals skilled in data science…

Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever. It is also important to ensure that every team member is a real asset to the organization and can contribute their knowledge and skill with full Insight into the effects and outcome of activities and processes and the ability to correct the course and make recommendations using clear, concise information. Advanced analytics is the…