What is document retrieval? Document retrieval is the process of retrieving specific documents or information from a database or a collection of documents. It's fundamental in information retrieval,...
About Neri Van Otten
Neri Van Otten is the founder of Spot Intelligence, a machine learning engineer with over 12 years of experience specialising in Natural Language Processing (NLP) and deep learning innovation. Dedicated to making your projects succeed.
Posts By Neri Van Otten
![What Is Semantic Search & How To Implement [Python, BERT, Elasticsearch]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/semantic-search.jpg?fit=960%2C540&ssl=1)
What Is Semantic Search & How To Implement [Python, BERT, Elasticsearch]
What is semantic search? Semantic search is an advanced information retrieval technique that aims to improve the accuracy and relevance of search results by understanding the context and meaning of...
Semantic Analysis In NLP Made Easy, Top 10 Best Tools & Future Trends
What is Semantic Analysis in NLP? Semantic analysis in Natural Language Processing (NLP) is understanding the meaning of words, phrases, sentences, and entire texts in human language. It goes beyond...
![Pre-Trained Models Complete Guide [How To & 21 Top Models In PyTorch, TensorFlow & HuggingFace]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/pre-trained-models.jpg?fit=960%2C540&ssl=1)
Pre-Trained Models Complete Guide [How To & 21 Top Models In PyTorch, TensorFlow & HuggingFace]
Understanding Pre-Trained Models Pre-trained models have become a game-changer in artificial intelligence and machine learning. They offer a shortcut to developing highly capable models for various...
Teacher Forcing In Recurrent Neural Networks (RNNs): An Advanced Concept Made Simple
What is teacher forcing? Teacher forcing is a training technique commonly used in machine learning, particularly in sequence-to-sequence models like Recurrent Neural Networks (RNNs) and...
Mode Collapse In GANs Explained, How To Detect It & Practical Solutions
What is mode collapse in Generative Adversarial Networks (GANs)? Mode collapse is a common issue in generative models, particularly in the context of generative adversarial networks (GANs) and some...
How To Implement Information Extraction Systems Made Simple
What is Information Extraction? Information extraction (IE) is a natural language processing (NLP) task that automatically extracting structured information from unstructured text data. Information...
![Practical How To Guide To Binary Classification [PyTorch, Keras, Scikit-Learn]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/10/binary-classification-fraud-detection.jpg?fit=960%2C540&ssl=1)
Practical How To Guide To Binary Classification [PyTorch, Keras, Scikit-Learn]
Binary classification is a fundamental concept in machine learning, and it serves as the building block for many other classification tasks. In this section, we'll explore the intricacies of binary...
Natural Language Understanding — What Is It & How To Go Beyond NLP
What is Natural Language Understanding? Natural Language Understanding (NLU) is the cornerstone of modern artificial intelligence that empowers machines to grasp the complexities of human language....
Continual Learning Made Simple, How To Get Started & Top 4 Models
The need for continual learning In the ever-evolving landscape of machine learning and artificial intelligence, the ability to adapt and learn continuously (continual learning) has become...
Sequence-to-Sequence Architecture Made Easy & How To Tutorial In Python
What is sequence-to-sequence? Sequence-to-sequence (Seq2Seq) is a deep learning architecture used in natural language processing (NLP) and other sequence modelling tasks. It is designed to handle...
Cross-Entropy Loss — Crucial In Machine Learning — Complete Guide & How To Use It
What is cross-entropy loss? Cross-entropy Loss, often called "cross-entropy," is a loss function commonly used in machine learning and deep learning, particularly in classification tasks. It...
Natural Language Generation Explained & 2 How To Tutorials In Python
What is natural language generation? Natural Language Generation (NLG) is a subfield of artificial intelligence (AI) and natural language processing (NLP) that focuses on the automatic generation of...
Top 8 Loss Functions Made Simple & How To Implement Them In Python
What are loss functions? Loss functions, also known as a cost or objective functions, are critical component in training machine learning models. It quantifies a machine learning model's performance...
How To Implement Cross-lingual Transfer Learning In 5 Different Ways
What is cross-lingual transfer learning? Cross-lingual transfer learning is a machine learning technique that involves transferring knowledge or models from one language to another, typically to...
Text Labelling Made Simple With How To Guide & Tools List
What is text labelling? Text labelling, or text annotation or tagging, assigns labels or categories to text data to make it more understandable and usable for various natural language processing...
![Language Identification Complete How To Guide In Python [With & Without Libraries]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2023/09/language-identification.jpg?fit=960%2C540&ssl=1)
Language Identification Complete How To Guide In Python [With & Without Libraries]
What is language identification? Language identification is a critical component of Natural Language Processing (NLP), a field dedicated to interacting with computers and human languages. At its...
Multilingual NLP Made Simple — Challenges, Solutions & The Future
Understanding Multilingual NLP In the era of globalization and digital interconnectedness, the ability to understand and process multiple languages is no longer a luxury; it's a necessity....
