Introduction Language is at the heart of human communication—and in today's digital world, making sense of language at scale is more important than ever. From powering chatbots and voice assistants...
The Natural Language Processing (NLP) Blog
Topic: Tutorial
Vector Embeddings Made Simple & How To Tutorial In Python
What Are Vector Embeddings? Imagine trying to explain to a computer that the words "cat" and "dog" are more similar to each other than to "car". Computers don't inherently understand language,...
![Monte Carlo Tree Search Explained & How To Implement [With Code]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/09/four-steps-monte-carlo-tree-search.jpg?fit=1200%2C675&ssl=1)
Monte Carlo Tree Search Explained & How To Implement [With Code]
What is Monte Carlo Tree Search? Monte Carlo Tree Search (MCTS) is a decision-making algorithm that helps an agent figure out the best action when the possible outcomes are too vast to calculate...
Dynamic Programming Explained & How To Tutorial In Python
What is Dynamic Programming? Dynamic Programming (DP) is a powerful algorithmic technique used to solve complex problems by breaking them down into simpler, overlapping subproblems. Instead of...
Deep Deterministic Policy Gradient Made Simple & How To Tutorial In Python
Introduction Reinforcement Learning (RL) has seen explosive growth in recent years, powering breakthroughs in robotics, game playing, and autonomous control. While early successes focused on...
![Viterbi Algorithm Made Simple [How To & Worked-Out Examples]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/06/viterbi-algorithm-example.jpg?fit=330%2C348&ssl=1)
Viterbi Algorithm Made Simple [How To & Worked-Out Examples]
Introduction Imagine trying to understand what someone said over a noisy phone call or deciphering a DNA sequence from partial biological data. In both cases, you're trying to uncover a hidden...
![Deep Q-Learning [Reinforcement Learning] Explained & How To Example](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/05/q-learning-example.jpg?fit=1440%2C810&ssl=1)
Deep Q-Learning [Reinforcement Learning] Explained & How To Example
Imagine teaching a robot to navigate a maze or training an AI to master a video game without ever giving it explicit instructions—only rewarding it when it does something right. This is the essence...
![Data Filtering Explained, Types & Tools [With How To Tutorials]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/04/data-filtering.jpg?fit=1200%2C675&ssl=1)
Data Filtering Explained, Types & Tools [With How To Tutorials]
What is Data Filtering? Data filtering is sifting through a dataset to extract the specific information that meets certain criteria while excluding irrelevant or unwanted data. It's a foundational...
Data Encoding Explained, Different Types, How To Examples & Tools
What is Data Encoding? Data encoding is the process of converting data from one form to another to efficiently store, transmit, and interpret it by machines or systems. Think of it like translating...
Complete Data Wrangling Guide With How To In Python & 6 Common Libraries
What Is Data Wrangling? Data is the foundation of modern decision-making, but raw data is rarely clean, structured, or ready for analysis. This is where data wrangling comes in. Also known as data...
Z-Score Normalization Made Simple & How To Tutorial In Python
What is Z-Score Normalization? Z-score normalization, or standardization, is a statistical technique that transforms data to follow a standard normal distribution. This process ensures that data has...
Elastic Net Made Simple & How To Tutorial In Python
What is Elastic Net Regression? Elastic Net regression is a statistical and machine learning technique that combines the strengths of Ridge (L2) and Lasso (L1) regularisation to improve predictive...
Recursive Feature Elimination (RFE) Made Simple: How To Tutorial
What is Recursive Feature Elimination? In machine learning, data often holds the key to unlocking powerful insights. However, not all data is created equal. Some features in a dataset contribute...
![How To Handle High-Dimensional Data In Machine Learning [Complete Guide]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/11/high-dimensional-data-challenges.jpg?fit=1440%2C810&ssl=1)
How To Handle High-Dimensional Data In Machine Learning [Complete Guide]
What is High-Dimensional Data? High-dimensional data refers to datasets that contain a large number of features or variables relative to the number of observations or samples. In other words, each...
How To Process Text In Python With Pandas Made Simple
Introduction Text data is everywhere—from social media posts and customer reviews to emails and product descriptions. For data scientists and analysts, working with this unstructured form of data...
Handling Missing Data In Machine Learning: Top 8 Techniques & How To Tutorial In Python
What is Missing Data in Machine Learning? In machine learning, the quality and completeness of data are often just as important as the algorithms and models we choose. Though common in real-world...
Predictive Analytics Made Simple & How To Python Tutorial
What is Predictive Analytics? Predictive analytics uses historical data, statistical algorithms, and machine learning techniques to identify patterns and forecast future outcomes. At its core, it...
Linear Regression In Machine Learning Made Simple & How To Python Tutorial
What is Linear Regression in Machine Learning? Linear regression is one of the fundamental techniques in machine learning and statistics used to understand the relationship between one or more...
