Data Science Dojo

MAY 27, 2024

A prominent example is Google’s Duplex , a technology that enables AI assistants to make phone calls on behalf of users for tasks like scheduling appointments and reservations.

K-nearest Neighbors 338

K-nearest Neighbors Supervised Learning AI AI 338

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? It is one of the best AI models.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

Dataconomy

APRIL 4, 2023

Some of the common types are: Linear Regression Deep Neural Networks Logistic Regression Decision Trees AI Linear Discriminant Analysis Naive Bayes Support Vector Machines Learning Vector Quantization K-nearest Neighbors Random Forest What do they mean? It is one of the best AI models.

K-nearest Neighbors 91

K-nearest Neighbors Decision Trees AI AI 91

IBM Journey to AI blog

DECEMBER 20, 2023

And retailers frequently leverage data from chatbots and virtual assistants, in concert with ML and natural language processing (NLP) technology, to automate users’ shopping experiences. Classification algorithms include logistic regression, k-nearest neighbors and support vector machines (SVMs), among others.

Machine Learning 92

Machine Learning Machine Learning Supervised Learning Clustering 92

Mlearning.ai

JULY 4, 2023

One such intriguing aspect is the potential to predict a user’s race based on their tweets, a task that merges the realms of Natural Language Processing (NLP), machine learning, and sociolinguistics. This allowed us to gain rapid insights into the dataset, paving the way for model selection and evaluation.

Machine Learning 52

Machine Learning Machine Learning K-nearest Neighbors Support Vector Machines 52

AWS Machine Learning Blog

FEBRUARY 25, 2025

Model invocation We use Anthropics Claude 3 Sonnet model for the natural language processing task. This LLM model has a context window of 200,000 tokens, enabling it to manage different languages and retrieve highly accurate answers. temperature This parameter controls the randomness of the language models output.

Algorithm 73

Algorithm Machine Learning Machine Learning K-nearest Neighbors 73

Pickl AI

DECEMBER 9, 2024

Every Machine Learning algorithm, whether a decision tree, support vector machine, or deep neural network, inherently favours certain solutions over others. k-Nearest Neighbors (k-NN) The k-NN algorithm assumes that similar data points are close to each other in feature space.

Machine Learning 52

Machine Learning Machine Learning Decision Trees Natural Language Processing 52