Understanding Recurrent Neural Networks and Their Applications

🧠 Recurrent Neural Network (RNN)
A neural network for sequential data (time series, speech, text).
It has memory of past inputs to affect current output.

Simple: “RNN past data yaad rakh kar next output predict karta hai.”

x1 → x2 → x3 → ... ↓ ↓ ↓ h1 → h2 → h3 → ... ↓ ↓ ↓ y1 y2 y3

Stepwise:
1️⃣ Input – Sequential data (text/audio)
2️⃣ Hidden Layer – Current input + previous hidden state
  Eq: hₜ = f(Wxₜ + Uhₜ₋₁ + b)
3️⃣

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Cloud Computing and Virtualization Fundamentals

Virtualization: Core Concepts and Benefits

Defining Virtualization

Virtualization is the creation of a virtual rather than actual version of something, such as hardware, an operating system, a storage device, or a network device. This process includes splitting a single physical computer into multiple virtual computers (Virtual Machines), each with its own software-based resources: CPU, RAM, hard disk, and Network Interface Card (NIC).

Virtual Machine (VM) Key Features

  • Isolation: The VM’s operating
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Compiler Design Fundamentals: Phases, Parsing, and Optimization Techniques

Phases of a Compiler Design Process

A compiler converts source code into machine code. The main phases are:

  • Lexical Analysis: Breaks code into tokens and removes spaces/comments.
  • Syntax Analysis: Checks the grammar structure of tokens.
  • Semantic Analysis: Checks meaning, types, and logical correctness.
  • Intermediate Code Generation: Creates machine-independent middle code.
  • Optimization: Improves code efficiency.
  • Code Generation: Converts intermediate code into machine code.
  • Symbol Table & Error Handling:
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Machine Learning Fundamentals: Core Algorithms and Techniques

Rule-Based Classification Technique

Rule-based classification is a data mining method where IF–THEN rules are used to classify data into different categories. Each rule has two parts:

  • IF (condition): tests certain attribute values
  • THEN (conclusion): assigns a class label

Example:

IF age > 18 AND income = high THEN class = “Premium Customer”.

Key Points of Rule-Based Classification

  1. Simple and Interpretable: Rules are easy to understand because they are written in natural language.
  2. Classification
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Key NP-Complete Problem Reductions: SAT, Clique & More

CircuitSAT to SAT Reduction

Problem Checks

The Boolean Satisfiability Problem (SAT) is in NP because a given Boolean assignment serves as a polynomial-size certificate, which can be verified by evaluating the formula in polynomial time.

Reduction Construction

Given a circuit composed exclusively of NAND gates, the reduction proceeds as follows:

  1. Create a Boolean variable for each circuit input and for the output of each gate.
  2. For each gate represented as z = NAND(a,b), add Conjunctive Normal Form (CNF)
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Data Science Core Concepts: Workflow, Models, and Analytics

Data Science Fundamentals and Applications

What is Data Science?

Data Science is a field that uses mathematics, programming, and other techniques to analyze data and discover insights. It helps businesses make better decisions.

Types of Data Science Disciplines

  • Data Engineering: Involves designing, building, and managing data infrastructure to help data scientists analyze data.
  • Data Analysis: Involves using statistical analysis to answer questions about a business’s data.
  • Predictive Analytics: Uses historical
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