02
Jun
Python is perhaps the most versatile programming language that has applications in different domains. Thanks to its features such as high-level in-built data structures, dynamic typing, and binding, Python can be used for rapid application development. This open-source programming language is user-friendly and easily available, which makes it the top choice even in the field of data science ad machine learning.
04
Mar
These days, terms like data science, machine learning and artificial intelligence are sometimes mentioned interchangeably, albeit incorrectly. Even an organization offering a new technology powered by any of these may talk about their high-end data science techniques without having much knowledge about them.
22
Feb
Did you know that the artificial intelligence market is expected to grow at a CAGR (compound annual growth rate) of a whopping 52% from 2017 to 2025? The term, what was coined by John McCarthy in 1953, has become one of the most crucial parts of our daily lives and in the business environment these days. In today’s tech-driven world, a lot of work is being done by software and machines and these can be heavily attributed to artificial intelligence. In this post, we’re going to see how this field has enabled us to achieve highs that were unthinkable without it.
17
Aug
Undeniably, both the terms artificial intelligence and machine learning belong to the most-used buzzwords these days. Almost every tech organization is using these terms when talking about their products or services. Unfortunately, there’re still lots of confusion within the common people about what are these two exactly. Let’s go through the key differences between artificial intelligence and machine learning.
05
Aug
Most likely you’ve already heard or read the term blockchain somewhere and know there is a huge buzz going around it in the technology domain. The technology that was invented to power Bitcoin in 2008, is now being used for almost everything. However, despite all the news and predictions are made around it by experts, it seems that a lot of people aren’t much aware of what blockchain actually is, what are the key advantages of using it and what are its biggest features? In this post, we’re going to explore all these things about blockchain and why you should learn this technology. Let’s delve deeper.
03
Aug
In the tech domain, there is a huge buzz going around the future abilities of AI and machine learning in terms of how they’ll be impacting our lives. These include high-end things like instant machine translation, self-driving cars, just to name a few. However, AI and machine learning are very much present in these days and they are facilitating human lives in a lot of ways, whether you may realize it or not. In this post, we are going to take a closer look at how these technologies have already started impacting the life of the average people.
16
Jul
Both data science and artificial intelligence are extremely talked about topics in today’s technology domain. Both of these technologies are being steadily adopted by businesses across the globe, regardless of industry or domain. However, there is a question often asked by people, particularly those looking to enter any of these fields, regarding how data science and artificial intelligence are connected and how they’re different from each other. In this post, we’re going to take a closer look at both aspects of both the fields to help you obtain a clear idea and take an informed decision.
01
Jul
In technical aspects, Python is a high-level, object-oriented programming language that comes with integrated dynamic semantics primarily for app and web development. Though it’s often compared to JavaScript, Ruby etc, the major thing that sets apart Python programming language from others is its simplicity. First released in 1991, Python has become one of the most popular programming languages across the globe.
17
Jun
As data has emerged as an integral part of business operations to attain a competitive edge, programming languages like Python and R have become extremely popular among data science professionals. With the advancements in the data science field, both Python and R programmers are becoming most sought after professionals and can enjoy a high-paying, fulfilling career.
31
May
With the emergence of data science, business success today heavily depends on the ability of deriving valuable insights from huge chunks of data. And businesses use these insights to develop their business strategies to grow and outperform competitors. In its simplest form, data science can be considered as a field where data is captured and analyzed to reach a logical solution. Previously only giant IT organizations were involved in this but today almost every business across industries like healthcare, finance, e-commerce etc are employing data science to make most out of the data they capture from different sources.