Notes: Bayesian networks are a type of probabilistic graphical model that can be used to represent and reason about complex domains with uncertainty. They are based on Bayesian statistics, which is a…
Tag: machine learning
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100 Best BigML Videos
Notes: BigML is a company that provides a cloud-based platform for machine learning. The company was founded with the mission of making machine learning easy and accessible for a wide range of…
TiMBL (Tilburg Memory Based Learner) & Dialog Systems
Notes: TiMBL is an open-source software package that implements memory-based learning algorithms for classification tasks. It is primarily used in natural language processing as a machine learning classifier component, but its use…
Machine Learning as a Service (MLaaS)
Notes: Machine learning as a service (MLaaS) is a cloud-based model for delivering machine learning services and capabilities. MLaaS providers offer machine learning algorithms, models, and tools as a service, allowing developers…
TensorFlow & Chatbots
Notes: These are the three main categories of machine learning algorithms. In supervised learning, the algorithm is trained on a labeled dataset, where the correct output is provided for each example in…
Machine Learning & Dialog Systems
Notes: Machine learning and neural networks are both related to the field of artificial intelligence (AI) and are often used together, but they are not the same thing. Machine learning is a broader…
Machine Learning Meta Guide
Notes: Machine learning is a subfield of Artificial Intelligence that deals with the development of algorithms and statistical models that enable computers to learn from data and make predictions or decisions without…
MALLET (MAchine Learning for LanguagE Toolkit) & Dialog Systems
Notes: MALLET (MAchine Learning for LanguagE Toolkit) is a free, open-source machine learning software package written in Java that was developed for natural language processing (NLP) tasks. It was developed at the…
Learning Classifier & Dialog Systems
Notes: Learning Classifier System (LCS) is a rule-based machine learning paradigm that combines a discovery component, such as a genetic algorithm, with a learning component that performs supervised learning, reinforcement learning or…