WHAT ARE THE MAIN DIFFERENCES BETWEEN ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING?

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.

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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.

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  • Artificial intelligence is the intelligence demonstrated by machines. Any machine that understands its environment and is able to take actions that increase its chances of achieving some goals, can be described as an artificial intelligence-enabled machine. …


HOW CAN I BE A DATA SCIENTIST ROLE CANDIDATE THAT COMPANIES ARE LOOKING FOR?

The expectation revolving around the perfect data scientist role candidate has changed to a great extent and businesses have started to understand the ability to train a machine learning model is just a small part of what it actually takes to be a successful professional in data science. So, what should you do to become that perfect data scientist role candidate? Let’s have a look.

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Undeniably, data scientist jobs are extremely in demand and this position has become one of the most lucrative career options these days. As a result, recruiters and hiring managers are being flooded with applications. In this scenario, the expectation revolving around the perfect data scientist role candidate has changed to a great extent and businesses have started to understand the ability to train a machine learning model is just a small part of what it actually takes to be a successful professional in data science. So, what should you do to become that perfect data scientist role candidate? …


HOW DOES MACHINE LEARNING BENEFIT FROM BIG DATA?

In this post, we’re going to discuss how big data benefits machine learning to help you make an informed decision if you’re interested to step into these fields.

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With the volume of data generated by companies and individuals increasing at a skyrocketing pace, a lot of terms like big data, machine learning etc have surfaced. It’s quite normal to ask how these things benefit from each other. In this post, we’re going to discuss how big data benefits machine learning to help you make an informed decision if you’re interested to step into these fields.

Modern businesses understand the power of big data, but they also understand that it can be even more powerful when merged with intelligent automation. …


DEMYSTIFYING DATA SCIENCE

All the hypes revolving around this field can trigger some common questions like “What is data science?”, “What are the skills required to enter data science?” etc.

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You may have already heard that data science is a fast-moving, exciting field that pays really well and a numerous number of aspiring candidates are trying to step into this field.

All the hypes revolving around this field can trigger some common questions like “What is data science?”, “What are the skills required to enter data science?” etc.

To help you establish context, here’s our effort toward demystifying data science. The following discussion should help you make an informed decision.

1- What is data science?

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The world is becoming a digital space day-by-day and businesses across the globe are dealing with massive amounts of data every day. Businesses have started to realize that this massive amount of data is of no use until they become able to use it to their advantage. …


To deal with the increasing demand for data science professionals, a lot of institutions have started offering a data science master’s degree.

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It’s a well-known fact that data science is one of the most attractive career options these days, thanks to the hype revolving around the data scientist job position. It has triggered increased interest in the data science field from both working professionals and those entering college.

To deal with the increasing demand for data science professionals, a lot of institutions have started offering a data science master’s degree.

If you too are planning to obtain such a degree, here’re ten facts you should consider before committing your time, effort, and money.

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#1. Before entering a data science master’s degree, you should ensure that you’re truly interested in what the program would entail. For example, a professional may try to find an opportunity to get some experience in working with data to gain exposure while a student may try to take a statistics class. …


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The technology that was invented to power Bitcoin in 2008, is now being used for almost everything.

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. …


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Both the terms artificial intelligence and machine learning belong to the most-used buzzwords these days.

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.

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  • Artificial intelligence is the intelligence demonstrated by machines. Any machine that understands its environment and is able to take actions that increase its chances of achieving some goals, can be described as an artificial intelligence-enabled machine. …


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In order to leverage big data, businesses need to have robust strategies in place for handling massive volumes of data.

By now, it has been fully established that big data is much more than just a buzzword, which was thought once by a lot of people. Instead, it’s probably the biggest asset that businesses may ever have. In order to leverage big data, businesses need to have robust strategies in place for handling massive volumes of data. And this is exactly where big data analytics tools come into the picture. They help businesses to identify trends, point out patterns and derive many valuable insights that can be used by decision-makers to make informed business decisions.

It’s important to understand that big data is of no use without the analysis of the captured information and making sense of this data falls under the domain of big data analytics tools that offer different capabilities for businesses to obtain competitive value. …


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We aren’t trying to establish that those so-called data scientists lack any key skills, but companies are looking for something more to get some true help, especially in the context of today’s extremely competitive landscape.

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.

We aren’t trying to establish that those so-called data scientists lack any key skills, but companies are looking for something more to get some true help, especially in the context of today’s extremely competitive landscape. This post is aimed at throwing some light on what an average data scientist should do to become a good data scientist. …


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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.

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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.

But before delving deeper, let’s have a quick look at what are AI and machine learning basically. …

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