Understanding Stochastic Gradient Descent (SGD) In Machine Learning Stochastic Gradient Descent (SGD) is a pivotal optimization algorithm widely utilized in machine learning for training models....
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
![The BERT Algorithm (NLP) Made Simple [Understand How Large Language Models (LLMs) Work]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/self-attention-example-1.jpg?fit=1200%2C675&ssl=1)
The BERT Algorithm (NLP) Made Simple [Understand How Large Language Models (LLMs) Work]
What is BERT in the context of NLP? In Natural Language Processing (NLP), the quest for models genuinely understanding and generating human language has been a longstanding challenge. One...
Fact-Checking With Large Language Models (LLMs): Is It A Powerful NLP Verification Tool?
Can a Machine Tell a Lie? Picture this: you're scrolling through social media, bombarded by claims about the latest scientific breakthrough, political scandal, or celebrity gossip. Each post seems...
Cognitive Computing Made Simple: Powerful Artificial Intelligence (AI) Capabilities & Examples
What is Cognitive Computing? The term "cognitive computing" has become increasingly prominent in today's rapidly evolving technological landscape. As our society generates and processes vast amounts...
Multilayer Perceptron Explained And How To Train & Optimise MLPs
What is a Multilayer perceptron (MLP)? In artificial intelligence and machine learning, the Multilayer Perceptron (MLP) stands as one of the foundational architectures, wielding remarkable...
Learning Rate In Machine Learning And Deep Learning Made Simple
Machine learning algorithms are at the core of many modern technological advancements, powering everything from recommendation systems to autonomous vehicles. Optimisation is central to the...
The Cold-Start Problem In Machine Learning Explained & 6 Mitigating Strategies
What is the Cold-Start Problem in Machine Learning? The cold-start problem refers to a common challenge encountered in machine learning systems, particularly in recommendation systems, where the...
![Bayesian Network Made Simple [How It Is Used In Artificial Intelligence & Machine Learning]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/bayesian-netowork-node-edges.jpg?fit=1920%2C1080&ssl=1)
Bayesian Network Made Simple [How It Is Used In Artificial Intelligence & Machine Learning]
What is a Bayesian Network? Bayesian network, also known as belief networks or Bayes nets, are probabilistic graphical models representing random variables and their conditional dependencies via a...
![Knowledge Graph Reasoning Made Simple [3 Technical Methods & How To Handle Uncertanty]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/02/query2vec.jpg?fit=1200%2C675&ssl=1)
Knowledge Graph Reasoning Made Simple [3 Technical Methods & How To Handle Uncertanty]
What is Knowledge Graph Reasoning? Knowledge Graph Reasoning refers to drawing logical inferences, making deductions, and uncovering implicit information within a knowledge graph. A knowledge graph...
![How To Implement Speech Recognition [3 Ways & 7 Machine Learning Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/speech-recognition.jpg?fit=1200%2C675&ssl=1)
How To Implement Speech Recognition [3 Ways & 7 Machine Learning Models]
What is Speech Recognition? Speech recognition, also known as automatic speech recognition (ASR) or voice recognition, is a technology that converts spoken language into written text. The primary...
![Conversational AI Explained: Top 9 Tools & How To Guide [Including GPT]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/key-components-of-conversational-ai.jpg?fit=1440%2C810&ssl=1)
Conversational AI Explained: Top 9 Tools & How To Guide [Including GPT]
What is Conversational AI? Conversational AI, short for Conversational Artificial Intelligence, refers to using artificial intelligence and natural language processing (NLP) technologies to enable...
![Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/nlp-tools.jpg?fit=1200%2C675&ssl=1)
Top 10 Most Useful Natural Language Processing (NLP) Tools [Libraries & Frameworks] LLMs Included
What are Common Natural Language Processing (NLP) Tools? Natural Language Processing (NLP) tools are software components, libraries, or frameworks designed to facilitate the interaction between...
Computational Linguistics: An Easy Explanation With Examples, Advancements & Future Trends
What is Computational Linguistics? Computational linguistics is an interdisciplinary field that combines principles of linguistics and computer science to develop computational models and algorithms...
Link Prediction For Graph Neural Networks (GNN) Made Simple & 6 Powerful Tools
What is Link Prediction Based on Graph Neural Networks? Link prediction, a crucial aspect of network analysis, is the predictive compass guiding our understanding of complex relationships within...
Entity Resolution Explained: Top 12 Techniques, Practical Guide & 5 Pythons/R Libraries
What is Entity Resolution? Entity resolution, also known as record linkage or deduplication, is a process in data management and data analysis where records that correspond to the same entity across...
Node2Vec: Extensive Guide & How To Tutorial In Python
What is Node2Vec? Node2Vec is a popular algorithm for learning continuous representations (embeddings) of nodes in a graph. It is a technique in network representation learning, which involves...
![Coreference Resolution In Natural Language Processing (NLP) Simplified [8 Powerful Techniques & 2 Models]](https://i0.wp.com/spotintelligence.com/wp-content/uploads/2024/01/coreference-resolution-nlp.jpg?fit=1200%2C675&ssl=1)
Coreference Resolution In Natural Language Processing (NLP) Simplified [8 Powerful Techniques & 2 Models]
What is Coreference Resolution in NLP? Coreference resolution is a crucial aspect of Natural Language Processing (NLP) that involves identifying and linking expressions in text that refer to the...
Knowledge Representation And Reasoning In Artificial Intelligence (AI) Made Simple
What is Knowledge Representation and Reasoning (KRR)? Knowledge Representation and Reasoning (KRR) are fundamental concepts in artificial intelligence (AI) that focus on how intelligent systems can...
