What is a Universal Sentence Encoder? The Universal Sentence Encoder (USE) is a powerful tool in natural language processing (NLP) developed by Google. Its primary function is to transform textual...
The Natural Language Processing (NLP) Blog
Topic: Tutorial
![Semi-Supervised Machine Learning Made Simple [5 Algorithms & How To Python Tutorial]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/semi-supervised-machine-learning.jpg?fit=1200%2C675&ssl=1)
Semi-Supervised Machine Learning Made Simple [5 Algorithms & How To Python Tutorial]
What is Semi-Supervised Learning in Machine Learning? Semi-supervised learning is a machine learning paradigm between supervised and unsupervised learning. In this approach, the algorithm learns...
Variational Autoencoders (VAEs) Made Simple & How To TensorFlow Tutorial
What are Variational Autoencoders (VAEs)? Autoencoders are ingenious, unsupervised learning mechanisms capable of learning efficient data representations. However, traditional autoencoders often...
![t-SNE Explained: Top 6 Tools & Practical How To Get Started Guide [Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/t-sne-visual-explanation.jpg?fit=1200%2C675&ssl=1)
t-SNE Explained: Top 6 Tools & Practical How To Get Started Guide [Python]
What is t-SNE? t-SNE, or t-distributed Stochastic Neighbor Embedding, is a popular non-linear dimensionality reduction technique used primarily for visualizing high-dimensional data in a...
Prototypical Networks Explained, Compared To Other Networks & How To Tutorial In PyTorch
What is a Prototypical Network? At its core, Prototypical Networks represent a groundbreaking approach to tackling the complexities of classification problems, especially in scenarios where labelled...
![What Is FastText? Compared To Word2Vec & GloVe [How To Tutorial In Python]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/12/continuous-bag-of-words-vs-skip-gram-1.jpg?fit=1200%2C675&ssl=1)
What Is FastText? Compared To Word2Vec & GloVe [How To Tutorial In Python]
What is fastText? fastText, a product of Facebook's AI Research (FAIR) team, represents a remarkable leap forward in natural language processing (NLP). This library, introduced in 2016, builds upon...
Gradient Clipping Explained & Practical How To Guide In Python
What is Gradient Clipping in Machine Learning? Gradient clipping is used in deep learning models to prevent the exploding gradient problem during training. During the training process of neural...
Factor Analysis Made Simple & How To Tutorial In Python
What is Factor Analysis? Factor analysis is a potent statistical method for comprehending complex datasets' underlying structure or patterns. Its primary objective is to condense many observed...
How To Implement GloVe Embeddings In Python: 3 Tutorials & 9 Alternatives
What are GloVe Embeddings? GloVe, or Global Vectors for Word Representation, is an unsupervised learning algorithm that obtains vector word representations by analyzing the co-occurrence statistics...
![How To Guide To Chat-GPT, GPT-3 & GPT-4 Prompt Engineering [10 Types]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/prompt-engineering-key-aspects.png?fit=960%2C540&ssl=1)
How To Guide To Chat-GPT, GPT-3 & GPT-4 Prompt Engineering [10 Types]
What is GPT prompt engineering? GPT prompt engineering is the process of crafting prompts to guide the behaviour of GPT language models, such as Chat-GPT, GPT-3, GPT-3.5-Turbo, and GPT-4. It...
![How To Build Content-Based Recommendation System Made Easy [Top 8 Algorithms & Python Tutorial]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/content-based-recommendation-system.jpg?fit=1200%2C675&ssl=1)
How To Build Content-Based Recommendation System Made Easy [Top 8 Algorithms & Python Tutorial]
What is a Content-Based Recommendation System? A content-based recommendation system is a sophisticated breed of algorithms designed to understand and cater to individual user preferences by...
Knowledge Graph: How To Tutorial In Python, LLM Comparison & 23 Tools & Libraries
What is a Knowledge Graph? A Knowledge Graph is a structured representation of knowledge that incorporates entities, relationships, and attributes to create a network of interconnected...
Independent Component Analysis (ICA) Made Simple & How To Tutorial In Python
What is Independent Component Analysis (ICA)? Independent Component Analysis (ICA) is a powerful and versatile technique in data analysis, offering a unique perspective on the exploration and...
Linear Discriminant Analysis Made Simple & How To Tutorial In Python
What is Linear Discriminant Analysis (LDA)? Linear Discriminant Analysis (LDA) is a powerful technique in machine learning and statistics. It is primarily used for dimensionality reduction and...
![Feature Extraction: Extensive Guide & 3 How To Tutorials [Python, CNN, BERT]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/feature-extraction-cats-dogs-example.jpg?fit=1200%2C675&ssl=1)
Feature Extraction: Extensive Guide & 3 How To Tutorials [Python, CNN, BERT]
What is Feature Extraction in Machine Learning? Feature extraction is a fundamental concept in data analysis and machine learning, serving as a crucial step in the process of transforming raw data...
![How To Implement Intent Classification In NLP [7 ML & DL Models] With Python Example](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/11/intent-classification-process.jpg?fit=1200%2C675&ssl=1)
How To Implement Intent Classification In NLP [7 ML & DL Models] With Python Example
What is Intent Classification In NLP? Intent classification is a fundamental concept in natural language processing (NLP) and plays a pivotal role in making machines understand and respond to human...
![How To Implement Inverted Indexing [Top 10 Tools & Future Trends]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/inverted-index.png?fit=1200%2C675&ssl=1)
How To Implement Inverted Indexing [Top 10 Tools & Future Trends]
Inverted index in information retrieval In the world of information retrieval and search technologies, inverted indexing is a fundamental concept pivotal in transforming a seemingly chaotic sea of...
Arabic NLP — How To Overcome Challenges, Tutorials In Python & 9 Tools/Resources Including Large Language Models (LLMs)
Natural language processing (NLP) for Arabic text involves tokenization, stemming, lemmatization, part-of-speech tagging, and named entity recognition, among others. These tasks can be challenging...
