There’re a lot of people trying to step into the field of data science. Unfortunately, many of them often overlook one of the most critical aspects of landing up a good job in the field – the importance of building a strong data science portfolio. While having enough knowledge about different data science techniques and a good number of certifications are surely critical, unless you have a strong data science portfolio, your chances of coming under the radar of recruiters aren’t extremely high. Here, we’ve jotted down the key aspects of building a solid data science portfolio that would make your journey a tad easier.
In the last few years, big data has become central to the tech landscape. You can consider big data as a collection of massive and complex datasets that are difficult to store and process utilizing traditional database management tools and traditional data processing applications. The key challenges include capturing, storing, managing, analyzing, and visualization of that data.
In recent years, machine learning has been one of the most talked about tech topics and is being applied to businesses widely. Put simply, this application of artificial intelligence allows computers to learn and improve without being programmed directly. The revolutionary technology presently forms a highly crucial aspect of countless established, as well as, burgeoning industries. Let’s have a look at the key reasons why you should start preparing now to become a machine learning professional.
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.
Artificial intelligence together with its most talked about subcategory machine learning are probably the biggest two factors impacting the entire business world and transforming it. We may not always realize how these technologies are involved in our day-to-day life, but in reality, they’re present in a lot of aspects. In a business context, almost every industry leverages the power of artificial intelligence and machine learning – from traveling industry to transportation industry to the healthcare industry and many more. In this post, we’re going to explore the impacts of these two technologies on the finance industry.
Undeniably, artificial intelligence has become one of the most talked-about areas of the IT domain. The demand for artificial intelligence developers is growing rapidly and professionals from different industries, as well as, beginners are trying to step into this field. Though there’re people who imagine a future where machines replace humans, it’s probably the best time to learn this technology as it’ll change the future of the tech domain drastically. If you’re a beginner and looking to become an artificial intelligence developer, here’re the most effective ways you should follow.
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.
During the last few years, we’re experiencing a big revolution from mobile computing to immersive computing. We’ve also seen a new wave of devices employing virtual reality (VR) that defines a major spectrum of immersive technology that has the ability to replace mobile computing. In 2016, a range of virtual reality products came to the market by some tech giants. The large acquisitions and investments made by those tech giants reveal that virtual reality and augmented reality (AR) will become highly integrated with the platforms on which people consume content in the coming future.
The association of AI with common public may have been limited to Hollywood films like Terminator, iRobot, Ex Machina etc a couple of years ago, but the technology today is right here with exponential future possibilities. These days, billions of people across the globe interact with artificial intelligence on a regular basis through their computers, phones and other smart devices. It has revolutionized the technology landscape that millions of people reap benefit from.
Artificial intelligence has become a crucial part of daily human lives today and it assists in almost every scenario – whether you realize it or not. Every time you do a Google search, book a trip online, receive a product recommendation from Amazon, or open your Facebook newsfeed, which are just a few everyday instances – AI is lurking in the background. In this post, we’ve rounded up ten practical examples across multiple industries that demonstrate how pervasive the technology has become in our everyday lives.