Python Cheat sheet
A Python cheat sheet is a quick reference guide that summarizes the most important features of the Python programming language. It typically includes information on syntax, data types, control structures, functions, and modules, among other things.
Introduction to Python Programming
Python is a high-level, interpreted, and general-purpose programming language that was first released in 1991 by Guido van Rossum. It has become one of the most popular programming languages in the world due to its simplicity, readability, and versatility. Python is often used for web development, scientific computing, data analysis, artificial intelligence, and automation.
Authors : Dr.Thyagaraju GS and Palguni GT [E- Book : As per the Latest syllabus of VTU- Belagavi and all Autonomous and Deemed to be Universities .]
Introduction to C Programming
C is a high-level, general-purpose programming language that was originally developed at Bell Labs by Dennis Ritchie in the 1970s. It is a structured, imperative, procedural, and compiled language that is widely used for system programming, embedded systems, and other applications that require efficient low-level access to hardware and memory.
Machine Learning Algorithms
Machine learning algorithms are a set of statistical and computational techniques that enable machines to learn from data and make predictions or decisions without being explicitly programmed. There are several types of machine learning algorithms, each with their own strengths and weaknesses. Some of the most commonly used machine learning algorithms with python code is discussed in this E-Book.
Quantum computing is a type of computing that utilizes the principles of quantum mechanics to process information. In classical computing, information is stored and processed using bits, which can represent either a 0 or a 1. In quantum computing, information is stored and processed using quantum bits, or qubits, which can represent a superposition of both 0 and 1 states simultaneously.
Quantum Machine Learning Algorithms
Quantum machine learning algorithms are algorithms that use the principles of quantum mechanics to perform machine learning tasks. These algorithms are designed to take advantage of the unique properties of quantum computing, such as superposition, entanglement, and interference, to perform certain computations faster and more efficiently than classical algorithms.
Some of the most commonly used quantum machine learning algorithms are discussed in this E-Book.
Context Aware Computing for Contextual Artificial Intelligence
Context-aware computing is a type of technology that allows computers and other devices to sense and understand the context of their environment and users. This technology aims to enhance the user’s experience by providing relevant and timely information or services based on their current situation, such as location, time of day, weather, and social context.
B.E/B.Tech. CSBS (Computer Science and Business Systems)
Palguni G T (Source : ChatGPT(https://chat.openai.com/chat)) Bachelor of Engineering (B.E.) in Computer Science and Business Systems is an undergraduate degree…
Visual ChatGPT is the Wake-up Call for Text-To-Image
Microsoft researchers recently published a paper aimed at bringing together the capabilities of ChatGPT and visual foundation models like Stable Diffusion. This architecture, termed ‘Visual ChatGPT’, wants to bridge the gap between text-to-image and natural language generation.
Revolutionizing the Metaverse:
The blog titled “Revolutionizing the Metaverse: Unpacking the Key Technologies and Trends for a Better Digital Future” explores the transformative potential of the metaverse and how it can help create a better digital future. It delves into the key technologies and trends driving the development of the metaverse and examines the challenges and opportunities presented by this emerging technology.