Introduction Imagine a group of robots cleaning a warehouse, a swarm of drones surveying a disaster zone, or autonomous cars navigating through city traffic. In each of these scenarios, multiple...
The Natural Language Processing (NLP) Blog
Machine Learning – Deep Learning – Data Science
![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...
Structured Prediction In Machine Learning: What Is It & How To Do It
What is Structured Prediction? In traditional machine learning tasks like classification or regression a model predicts a single label or value for each input. For example, an image classifier might...
![Policy Gradient [Reinforcement Learning] Made Simple In An Elaborate Guide](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/q-learning-explained.jpg?fit=1200%2C675&ssl=1)
Policy Gradient [Reinforcement Learning] Made Simple In An Elaborate Guide
Introduction Reinforcement Learning (RL) is a powerful framework that enables agents to learn optimal behaviours through interaction with an environment. From mastering complex games like Go to...
![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...
Deepfake Made Simple, How It Work & Concerns
What is Deepfake? In an age where digital content shapes our daily lives, a new phenomenon is challenging our ability to trust what we see and hear: deepfakes. The term "deepfake" is a blend of...
![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...
![Data Enrichment Made Simple [Different Types, How It Works & Common Tools]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/04/data-enrichment.jpg?fit=1200%2C675&ssl=1)
Data Enrichment Made Simple [Different Types, How It Works & Common Tools]
What is Data Enrichment? Data enrichment enhances raw data by supplementing it with additional, relevant information to improve its accuracy, completeness, and value. Integrating internal and...
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...
![Data Anonymisation Made Simple [7 Methods & Best Practices]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2025/03/anonymisation-vs-pseudonymisation.jpg?fit=1200%2C675&ssl=1)
Data Anonymisation Made Simple [7 Methods & Best Practices]
What is Data Anonymisation? Data anonymisation is modifying or removing personally identifiable information (PII) from datasets to protect individuals' privacy. By ensuring that data can no longer...
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...
Data Masking Explained, Different Types & How To Implement It
Understanding the Basics of Data Masking Data masking is a critical process in data security designed to protect sensitive information from unauthorised access while maintaining data utility for...
What Is Data Transformation? 17 Powerful Tools And Technologies
What is Data Transformation? Data transformation is converting data from its original format or structure into a format more suitable for analysis, storage, or processing. This process is a critical...
Real-time Vs Batch Processing Made Simple: What Is The Difference?
What is Real-Time Processing? Real-time processing refers to the immediate or near-immediate handling of data as it is received. Unlike traditional methods, where data is collected and processed...
Churn Prediction Made Simple & Top 9 ML Techniques
What is Churn prediction? Churn prediction is the process of identifying customers who are likely to stop using a company's products or services in the near future. This involves analysing customer...
Federated Learning Made Simple, Why its Important & Application in the Real World
What is Federated Learning? Federated Learning (FL) is a cutting-edge machine learning approach emphasising privacy and decentralisation. Unlike traditional machine learning methods, which rely on...
NLP And Edge Computing: How It Works & Top 7 Technologies for Offline Computing
In the age of digital transformation, Natural Language Processing (NLP) has emerged as a cornerstone of intelligent applications. From chatbots and voice assistants to real-time translation and...
