HOW ARTIFICIAL INTELLIGENCE LEADS US FORWARD?

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.

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. …


HOW A DATA SCIENTIST WORKS?

Today, a huge number of businesses across the globe are striving to make sense of the massive amount of disparate data captured by them through various means. While data science leaves a profound impact on the tech field, it has also started transforming almost all other sectors — from telecommunications and retail to agriculture and health, just to name a few.

Today, a huge number of businesses across the globe are striving to make sense of the massive amount of disparate data captured by them through various means. With the help of data scientists, they can transform this inordinate volume of data into actionable insights which can influence their operations heavily. And that’s probably the biggest reason the data scientist career is considered one of the most attractive in the tech field. …


PREPARE FOR THE FUTURE WITH MACHINE LEARNING

In recent years, machine learning has been one of the most talked about tech topics and is being applied to businesses widely. Let’s have a look at the key reasons why you should start preparing now to become a machine learning professional.

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.

1- Major reasons to become a machine learning professional


WHAT ARE THE FREQUENTLY ASKED INTERVIEW QUESTIONS WITH ANSWERS: A THIRD POST OF A SERIES OF THREE

We bring you some help with Q&As to let you ace your deep learning job interview with confidence.

If you want to become a deep learning specialist and bag a job in this field, you will not only need to keep up with the pace of this ever-changing field and its new developments, but also practice answers to some of the frequently asked interview questions in this field. We bring you some help with these Q&As to let you ace your deep learning job interview with confidence.


WHAT ARE THE FREQUENTLY ASKED INTERVIEW QUESTIONS WITH ANSWERS: A SECOND POST OF A SERIES OF THREE

If you need help to sharpen your interview skills in machine learning algorithms, ensemble models, and other aspects of deep learning, these frequently asked interview questions with answers could be just what you need.

If you’re eyeing a career in machine learning and are especially interested in deep learning and neural networks (NNs), you should get ready to ace an extremely rigorous interview process. If you need help to sharpen your interview skills in machine learning algorithms, ensemble models, and other aspects of deep learning, these frequently asked interview questions with answers could be just what you need.


WHAT ARE THE FREQUENTLY ASKED INTERVIEW QUESTIONS WITH ANSWERS: A FIRST POST OF A SERIES OF THREE

In the domain of data science, you’ll get a wide range of different career options to choose from. If you take an interest in data cleaning and data exploration and want to work as a data analyst, here are some interview questions that are frequently asked with their answers to get you job-ready.

In the domain of data science, you’ll get a wide range of different career options to choose from. If you take an interest in data cleaning and data exploration and want to work as a data analyst, here are some interview questions that are frequently asked with their answers to get you job-ready.


WHAT CAN WE DO WITH ARTIFICIAL INTELLIGENCE?

If you’re planning to get AI training and wondering what you can do with artificial intelligence, here are the top three domains that you may target.

Today, artificial intelligence is used for a wide range of activities in different fields and industries. From education, healthcare, and entertainment to finance, electronic trading platforms, e-commerce platforms, transportation, and more, you’ll find how artificial intelligence finds many applications in our lives today. No wonder why many aspiring job seekers want to learn artificial intelligence to enter a promising field that’s changing almost every aspect of our lives significantly and is predicted to continue doing so in the future, albeit in a much more extensive way. …


AS A DATA SCIENTIST WHAT WE NEED TO KNOW IN PROFESSIONAL LIFE?

With “big data” being the buzz word these days, pursuing a data scientist career has become one of the hottest trends of modern times.

From businesses and government institutions to non-profit organizations, there is a seemingly-infinite quantity of data that can needs to be sorted and interpreted to get information that can be applied for a wide array of purposes. With “big data” being the buzz word these days, pursuing a data scientist career has become one of the hottest trends of modern times. Whether you take up a full-time data science course or opt for a data science bootcamp in Silicon Valley, you’ll need to known certain trending technologies (as mentioned below) to make a mark in this field:

1- Python


IS BEING A DATA ANALYST A STEP TO BECOMING A DATA SCIENTIST?

Being a data analyst would mean you’ll have several skill-sets that one needs to work in the domain of data science. However, it doesn’t mean you can easily jump from your data analyst career into the role of a data scientist. Before discussing if being a data analyst could act as a step to becoming a data scientist, let’s take a look at what each of these professionals do.

Being a data analyst would mean you’ll have several skill-sets that one needs to work in the domain of data science. However, it doesn’t mean you can easily jump from your data analyst career into the role of a data scientist. Before discussing if being a data analyst could act as a step to becoming a data scientist, let’s take a look at what each of these professionals do.

1- Data Analyst vs. Data Scientist


WHAT IS A GOOD DATA SCIENCE PROJECT?

As a data science professional, you may have worked on lots of crucial problems, but if you fail to present them to the recruiters, getting a good job in the field may become even more difficult. And this is exactly where data science projects come to your rescue. They help you demonstrate your data science skills to prospective employers. Therefore, it’s important to pick your data science projects carefully.

A significant number of newcomers in data science tend to spend a huge amount of time to develop theoretical knowledge and earn certifications only. While theoretical knowledge is certainly required to become a good data science professional, recruiters don’t put much emphasis on certifications only. Instead, they tend to evaluate the potential of a candidate by going through his/her work.

As a data science professional, you may have worked on lots of crucial problems, but if you fail to present them to the recruiters, getting a good job in the field may become even more difficult. And this is exactly…

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