Since its inception, the programming language R has been one of the leading preferences for Data scientists & researchers and statisticians. R is a GNU package which was appeared in late 1993; it is a free software environment for statistical computing. In recent years R's popularity has increased exponentially due to advancements in Data analytics field.
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Deep learning is an exciting subfield at the cutting edge of machine learning and artificial intelligence. Deep learning has led to major breakthroughs in exciting subjects just such computer vision, audio processing, and even self-driving cars. In this guide, we'll be reviewing the essential stack of Python deep learning libraries.
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If you are a programmer then you must be good at using algorithms and logic. That's what makes a programmer an ideal candidate for machine learning engineer. First, you need to adjust your mindset that it's not hard to learn. Imagine the day when you were first introduced to programming, It must've looked so hard but as you worked on it, it became easier. The same goes for machine learning.
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Start the design of your chatbot with a framework or suffer the consequences.
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Python is a general-purpose language - sometimes referred to as utilitarian - which is designed to be simple to read and write. The point that it's not a complex language is important.
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Machine Learning and Artificial intelligence (AI) is now considered to be one of the biggest innovations since the microchip. AI used to be a fanciful concept from science fiction, but now it's becoming a daily reality. Neural networks (imitating the process of real neurons in the brain) are paving the way toward breakthroughs in machine learning, called "deep learning."
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Increasingly, colleges and universities, as well as governments, are using data science to improve the ways educational institutions do everything from recruiting to engaging with students to budgeting.
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With the world accepting the fact that every company now is a tech company, no matter what its size or what product or service it offers, hiring the best programming language developers is crucial to survival.
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Considering the extensive number of the modern programming languages, deciding which one to take by its horns and master can be a strenuous task.
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Data visualization is helping companies worldwide to identify patterns, predict outcomes, and improve business returns. Visualization is an important aspect of data analysis. Simply put, data visualization conveys outcomes of tabular or spatial data in a visual format. Images have the power to capture attention and convey ideas clearly. This aids decision making and drives action for improvements.
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Deep Learning algorithm is one of the most powerful learning algorithms of the digital era. It has found a unique place in various industrial applications such as fraud detection in credit approval, automated bank loan approval, stock price prediction etc
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Image recognition is one of the features that is deployed in most modern devices and programs. The feature has a wide range of applications, the most common one being in security systems. It enables devices to recognize the identity of a person or object just by its image. Face recognition is a product of image recognition.
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Kotlin comes from industry, not academia. It solves problems faced by working programmers today. As an example, the type system helps you avoid null pointer exceptions. Research languages tend to just not have null at all, but this is of no use to people working with large codebases and APIs which do.
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Almost a decade ago, Satoshi Nakamoto, the creator of Bitcoin, silently disrupted trust-providing organizations, like banks, with an eight-page long research paper describing how money can be decentralized (through Bitcoin). At the time, not many people understood the potential that those eight pages concealed within themselves.
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A Small Real-World Project for Learning Three Invaluable Data Science Skills. As with most interesting projects, this one started with a simple question asked half-seriously: how much tuition do I pay for five
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What if you want to implement an automated machine learning pipeline of your very own, or automate particular aspects of a machine learning pipeline? Rest assured that there is no need to reinvent any wheels.
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Thousands of programming languages exist, but there are some trusty ones that developers turn to again and again. GitHub, the startup at the center of open-source software development, tracks these programming trends.
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I recently joined the Enterprise Insight Studio team at Accenture's global center for innovation in Dublin as an Artificial Intelligence (AI) Software Engineering.
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