WHERE IS PYTHON USED IN THE REAL WORLD?

If you’re planning to get enrolled in a Python course or online Python training program, knowing some real-world applications of Python would help you choose which specific field you want to focus on for your career.

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.

If you’re planning to get enrolled in a Python course or online Python training program, knowing some real-world applications of Python would help you choose which specific field you want to focus on for your career. …


WHAT ARE THE DIFFERENT BLOCKCHAIN TECHNOLOGIES?

A blockchain is a time-stamped series that contains immutable records of data which is maintained through a chain of computers. The information kept here is open and anyone can see it. If you’re interested in learning this technology, here’s an overview of different types of blockchain technologies that would make your learning path a tad easier.

The blockchain technology, invented by Satoshi Nakamoto, has evolved into one of the most disrupting technologies and created a new type of internet. In simple words, a blockchain is a time-stamped series that contains immutable records of data which is maintained through a chain of computers. The information kept here is open and anyone can see it. Thus, everything created on the blockchain is transparent and everybody involved remains accountable for his/her actions. If you’re interested in learning this technology, here’s an overview of different types of blockchain technologies that would make your learning path a tad easier.

Types of blockchain technologies


WHAT ARE THE BENEFITS OF DEALING WITH DATA SCIENCE?

While a huge percentage of businesses, both small and large scale, are thinking about implementing data science these days, not all of them are fully aware of the abilities of a data scientist and how he/she can benefit their companies. If you’re also planning to open up your doors to big data and leverage its full potential, you’d need to hire a data scientist who’ll derive actionable insights from a massive amount of data. And thus, it makes sense for you to be fully aware of data science benefits. Keep on reading as we’ve jotted down the most important ones among them.

While a huge percentage of businesses, both small and large scale, are thinking about implementing data science these days, not all of them are fully aware of the abilities of a data scientist and how he/she can benefit their companies. If you’re also planning to open up your doors to big data and leverage its full potential, you’d need to hire a data scientist who’ll derive actionable insights from a massive amount of data. And thus, it makes sense for you to be fully aware of data science benefits. …


HOW SHOULD YOU START TO LEARN MACHINE LEARNING USING JAVA?

The studies found that enterprise developers tend to use Java in all projects, which included machine learning as well. Though Python and R have their own advantages, you can also use Java for machine learning, AI, and other areas of data science if you’re already adept in it.

When you talk about the domain of AI (Artificial Intelligence) and ML (Machine Learning), most experts would suggest you learn Python and R programming languages. Java is seldom talked about and yet, you can use it for AI, ML, etc. According to some 2017 studies, it’s the front-end web developers who leverage their familiarity with JavaScript to machine learning. It was found that 16% prioritized Java for the purpose, while 8% were found to avoid the cumbersome C/C++. It was noticed that front-end desktop application developers prioritized Java more than others (21%), which was in line with Java’s frequent use…


In recent years, artificial intelligence and big data have offered a significant number of advantages to businesses together with some new terminologies that every aspiring tech enthusiast should have a clear understanding of. Deep learning and neural networks are two such terms which are often interchangeably used by many people. But in reality, they’re not the same thing. In this post, we’re going to take a closer look at these two to help you develop a proper understanding of them.

In recent years, artificial intelligence and big data have offered a significant number of advantages to businesses together with some new terminologies that every aspiring tech enthusiast should have a clear understanding of. Deep learning and neural networks are two such terms which are often interchangeably used by many people. But in reality, they’re not the same thing. In this post, we’re going to take a closer look at these two to help you develop a proper understanding of them.

1- What’re neural networks?


WHAT ARE DATA MINING APPLICATIONS AND HOW CAN I LEARN?

Data mining refers to the process where a large amount of data is analyzed to extract new and hidden information from it, which can then be used to boost business efficiency. In other words, you can say data mining searches for valid, hidden, and potentially useful patterns in large data sets.

Data mining refers to the process where a large amount of data is analyzed to extract new and hidden information from it, which can then be used to boost business efficiency. In other words, you can say data mining searches for valid, hidden, and potentially useful patterns in large data sets. Since data mining needs multi-disciplinary skills, you’ll have to use statistics, machine learning, AI (artificial intelligence), and database technology. Since data mining helps you discover previously unknown/unsuspected relationships amongst the data, you can use the insights gathered from it for scientific discovery, sales and marketing, fraud detection, etc.

1- An overview of data mining applications


HOW DO YOU BECOME A DATA SCIENTIST WITHOUT A COMPUTER SCIENCE BACKGROUND?

Though having a computer science background or a degree would help you become a data scientist, it’s not a must-have thing if you’ve got your eyes set on a career in data science. According to DJ Patil (who became the first chief data scientist of the US in 2015), data science doesn’t care about if you’ve got a degree or what you majored in. The thing that really matters is what you do with data.

Though having a computer science background or a degree would help you become a data scientist, it’s not a must-have thing if you’ve got your eyes set on a career in data science. According to DJ Patil (who became the first chief data scientist of the US in 2015), data science doesn’t care about if you’ve got a degree or what you majored in. The thing that really matters is what you do with data.

1- The three main data science skill sets you need


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

Magnimind

Let’s change the world by acquiring AI and Machine Learning! We make it easier to achieve success in data science and tech. Join us https://magnimindacademy.com

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store