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Technology

Technology Stack Behind a Self-Driving Car: A Survey

What is a Self-Driving Car? A self-driving car, also known as an autonomous car, is a vehicle that navigates between sites without the help of a human driver, using sensors, cameras, radar, ultrasound, and artificial intelligence. The car goes to a specified location without human intervention on roads that have not been modified for its […]

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Everything You Need To Know About A Data Scientist

Data isn’t worthy unless and until converted into meaningful information. Data science is an interdisciplinary subject. It focuses on finding patterns and other insights in vast, unstructured or organised data sets. The fundamental purpose of the field is to uncover answers in previously unexplored and unexpected areas. Information is a valuable asset to any company. […]

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Understanding the autopilot of Machine Learning-AutoML

AutoML is a term that describes the automated end-to-end process of implementing machine learning in real-world scenarios. It’s an AI-powered system. It focuses on automatically analysing data as well as providing actionable insights with minimal effort. In other words, It enables us to apply machine learning to real-world applications even if you aren’t an expert […]

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Top 5 Programming Languages for Machine Learning

Machine Learning as well as coding go hand in hand. Data scientists cannot use ML models without coding. One should have a thorough understanding of at least one programming language. As a result, deciding where you want to code from becomes important. This article will go over the top five programming languages in depth and […]

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Python or R: Which Programming is Better for Data Science ?

There has been a long and ongoing discussion regarding which programming language is preferable : Python or R. Despite their popularity, they are very different. One may be preferable in some scenarios than the other. A little background on R R is a programming language and analysis tool that was first introduced in 1993. Ross Ihaka and […]

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How to Get Into Sports Analytics as a Career ?

Global sports analysts and industry experts have predicted that the sports analytics industry will reach a profit of $5.2 billion by the year 2024. Big data is becoming more important in sports, and data analysis is responsible for making sports more competitive and exciting for audiences. But why is data mining necessary in sports? Is […]