16
Sep
Over the past few years, you probably have observed the emergence of high-tech concepts like deep learning, as well as its adoption by some giant organizations. It’s quite natural to wonder why deep learning has become the center of the attention of business owners across the globe. In this post, we’ll take a closer look at deep learning and try to find out the key reasons behind its increasing popularity.
16
Sep
There’re lots of people who closely associate data with privacy issues, data leaks, and profit maximization techniques. Also, terms like data science, analytics, statistics, databases etc are ones that most people associate with the professional world exclusively. However, all these and many of their associated ones aren’t meant for data science professionals only. In reality, most people experience the role of data science in their day-to-day lives and in almost every situation. From new friend suggestions by Facebook to Google’s help to complete a search phrase to television shows predicted by Netflix in accordance to your preferences, and many more – data science is being used by common people in almost every situation.
16
Sep
With the tremendous popularity of data science that shows no signs of slowing down, those looking for future jobs for data science professionals should be ready for some good news. As a humungous 2.5 Quintillion bytes of data gets generated each day, there’s a growing demand for professionals who are capable of organizing this enormous pile of data to offer meaningful insights, which in turn can help businesses make informed decisions and find relevant solutions. No wonder why future jobs for data science professionals will hail these people as the hero since these are those who can extract meaning from seemingly innocuous data – no matter whether it’s structured and organized or unstructured and disorganized. Though the post of data scientist has featured as the leader among other jobs for a few years in a row, the increasing emphasis on AI (artificial intelligence) and ML (machine learning) has given rise to a few jobs, the demand for which may soon outgrow that of data scientists. In fact, the competition between machine learning engineers and data scientists is heating up and the line between them is blurring fast.
16
Sep
The data scientist is considered as the best job in the USA for 2019 with $108,000 as a median base salary, plus an attractive number of predicted openings. According to the prediction made by the IDC (International Data Corporation), in 2020, worldwide revenues for business analytics and big data will reach over $210bn. These statistics are more than enough to motivate someone to learn data science. If you need some more reasons to learn data science, it’s associated with a huge number of new applications and industries that emerge from the judicious use of massive amounts of data. From self-driving cars and robots, bioinformatics, speech recognition to object recognition, neuroscience, and many more – data science is central to the entire organization dealing with any of these.
16
Sep
In recent years, machine learning has become an extremely popular topic in the technology domain. A significant number of businesses – from small to medium to large ones – are striving to adopt this technology. Machine learning has started to transform the way companies do business and the future seems to be even brighter. However, still lots of companies that feel hesitant when it comes to implementing this technology, mainly because of uncertainty about what is machine learning, what are its key characteristics that make it one of the most useful advancements in the tech landscape. In this post, we’re going to take a closer look at machine learning and discuss its seven key characteristics that have made it extremely popular.
16
Sep
If you have an analytical bend of mind, you may consider a career in the field of data science. Though there are many options to take your pick from, most aspirants have their eyes fixated on the coveted job of data scientists. But who exactly are data scientists? You may call them a new class of analytical data expert, who possess the technical skills necessary to solve complex problems. At the same time, these people also have the inquisitiveness to search for problems that need to be solved. Thus, when defining a data scientist, you can say it’s someone who blends some expertise of a computer scientist, a mathematician, and a trend-spotter. What’s the beauty of the field of data science is that it has numerous applications in various domains. Thus, you will find that there’s a high demand for data scientists in both the business domain and the field of IT, which make these professionals highly sought-after and well-paid. No wonder why a majority of aspirants looking to make a mark in the field of data science aim to become data scientists.
16
Sep
In the U.S., data scientists are experiencing some of the best job choices, based on the average salary and the number of available opportunities in the field. With the emergence of big data, businesses have explored a new asset – data that can help them experience huge growth when leveraged properly. You may already know that almost all the giant tech companies including Google, Facebook and Amazon have leveraged data in order to create their own business platforms. This perfectly explains the need for a different set of trained professionals who can organize, analyze, and derive valuable insights from data – the data scientists.
15
Sep
The data scientist is called the sexiest job of the 21st century. If you are planning to enter the field of data science, chances are that your aim is to become a data scientist as it’s the most coveted post these days. Though some may even opt for the position of a data analyst, it’s still second in the race as the most preferred position for many aspirants is still the post of a data scientist. If playing with data and finding hidden insights where others don’t see it or find it is something that you love and want to take up as your career, you may even consider being a financial analyst, or a research analyst. Though you will come across several career choices that let you stay close to data and figures, the one that wins hands down is a data scientist. But it shouldn’t mean that just because everyone else is aiming for this post, you too should join the bandwagon. You will need to understand what the job entails, the kind of skills and aptitude you will need, the pay package you will get, the chances of furthering your career that you will have, etc. before taking your final pick.
15
Sep
The role of data scientist surely involves a lot of great things and those are the reasons professionals from across the globe are striving to step into the field of data science. Businesses, regardless of their field and volume, are looking to recruit ‘effective’ data scientists. We mentioned the term ‘effective’ because there is a huge supply of so-called data scientists that often fail to meet the expectations. The continuing media hype around data science has heavily exploded the volume of junior talents over the past few years.
15
Sep
Probably you are already aware of the fact that artificial intelligence and machine learning are all around us, from phones to devices and a huge number of things in between. But do you know what is the core technology that enables these devices to perform effectively? It’s natural language processing or NLP. Have you ever come across situations like you’re typing something on your smartphone and it is coming up with word suggestions based on what you’re currently typing and what you usually type? Surely you did and that’s a natural language processing system in action. We surely overlook the technology and take it for granted but in the business domain, it is one of the biggest innovations that have transformed the entire domain.