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…
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…
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…
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…