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In our previous articles, we have discussed Lists and Tuples. Both terms have the same purpose of storing the data with a different nature. Then the question that arises here is what is the difference between a list and a tuple in Python? And why is it necessary to know the difference between a list and a tuple in Python?
Just as every spoken language has its own set of terms, every programming language has its vocabulary. Almost all high-level computer languages have a list of keywords. When referring to high-level programming languages, the keywords if, else, while, for, break, etc., are among the most commonly used. These terms are also known as reserved keywords in Python. Programming language keywords have some established meaning. We are unable to give keywo
In my previous article "Optimizers in Machine Learning and Deep Learning". I gave a brief introduction about Adagrad optimizers. In this article, I will try to give an in-depth explanation of the optimizer’s algorithm.
To answer whether python is an interpreted language or not, You first need to know what an interpreter means. In this article, we will try to address this question by looking into different concepts. We will discuss what is an interpreted language, what is a compiler, how an interpreter works, and why is python an interpreted language?
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Netflix and Chill! But what happens behind the screen and at the servers of Netflix, which is giving you the experience to chill. Let’s see.
Machine Learning is a subset of Artificial Intelligence and it is one of the most dominating technologies at present, having the potential to bring the next revolution in the world. On the other hand, Python is a programming language with wide applications, and Machine Learning is one of those applications. So, let us begin to understand Machine Learning with Python in-depth with a famous quote.
What’s simple for humans may be thus onerous for a automaton. however innovations in fascinating, software, and cooperative robots area unit resulting in speedily up capabilities -- whereas increasing the amount of doable applications. It’s currently less complicated, quicker, and cheaper to alter refined solutions in producing, assembly, logistics, deposition, packaging, and surfa
Object-oriented programming (OOP) is a programming paradigm that uses objects and their interactions to design applications and computer programs. It is based on the concept of "objects", which can contain data and code that manipulates that data. OOP languages, such as Java, C++, and Python, provide a way to encapsulate data (attributes) and methods (functions) within an object, making it a self-contained entity that can be easily reused and maintained. Additionally, OOP includes conc
A data scientist is a professional who uses statistical and programming skills to extract insights from data. They use a variety of tools and techniques, such as machine learning and data visualization, to analyze and interpret complex data sets. Data scientists work in a variety of industries, including finance, healthcare, technology, and retail, to help organizations make better decisions and improve their operations. They are often responsible for creating predictive models, identi
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