Tag: Classification

Feed: AWS Big Data Blog. Amazon Redshift is the fastest, most widely used, fully managed, and petabyte-scale cloud data warehouse. Tens of thousands of customers use Amazon Redshift to process exabytes of data every day to power their analytics workloads. Amazon Redshift ML, powered by Amazon SageMaker, makes it easy for SQL users such as data analysts, data scientists, and database developers to create, train, and deploy machine learning (ML) models using familiar SQL commands and then use these models to make predictions on new data for use cases such as churn prediction, customer lifetime value prediction, and product recommendations ... Read More

Feed: Alation. Author: Jason Lim. February 10, 2022 — Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Let’s discuss what data classification is, the processes for classifying data, data types, and the steps to follow for data classification: What is Data Classification? Data classification is the process of analyzing and organizing structured and unstructured data into categories by tagging data based on: File type Contents Metadata Either completed manually or using automation, the data classification process is based ... Read More

Feed: Recent Announcements. Amazon SageMaker Autopilot automatically builds, trains, and tunes the best machine learning models based on your data, while allowing you to maintain full control and visibility. Starting today, SageMaker Autopilot provides new metrics and reports that provide you better visibility into model performance for classification problems. You can leverage these metrics to gather more insights about the best model in the Model leaderboard. New metrics and reports include Confusion Matrix, Area under the receiver operating characteristic (AUC-ROC) curve and Area under the precision-recall curve (AUC-PR), that help in understanding false positives/false negatives, tradeoffs between true positives and false ... Read More

Feed: R-bloggers. Author: finnstats. The post Decision tree regression and Classification appeared first on finnstats. If you want to read the original article, click here Decision tree regression and Classification. Decision tree regression and Classification, Multiple linear regression can yield reliable predictive models when the connection between a group of predictor variables and a response variable is linear. Random forest machine learning Introduction » finnstats Non-linear approaches, on the other hand, can perform better when the relationship between a set of predictors and a response is very non-linear and complex. Regression Trees A regression tree is a method that uses ... Read More

Feed: R-bloggers. Author: R | Olivier Gimenez. [This article was first published on R | Olivier Gimenez, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your content on R-bloggers? click here if you have a blog, or here if you don't. Here I illustrate how to train a CNN with Keras in R to predict from patients’ CT scans those who will develop severe illness from Covid. Michael Blum tweeted about the STOIC2021 – COVID-19 AI challenge. The main goal of this challenge is to predict from the patients’ ... Read More

Feed: Top Blog Posts. Author: Roger Max. Intent classification is also known as intent recognition is a branch of Natural Language Processing that focuses on categorizing text into various groups in order to make it easier to understand. In essence, intent classification is the act of correctly detecting natural language speech from a set of pre-defined intentions. Customer service is valued highly by many businesses. The interaction between an organization's representative and a client may be automated in order to provide better service. The majority of clients have a specific request or question in mind when they contact the company ... Read More

Feed: Top Blog Posts. Author: Roger Max. Intent classification is also known as intent recognition is a branch of Natural Language Processing that focuses on categorizing text into various groups in order to make it easier to understand. In essence, intent classification is the act of correctly detecting natural language speech from a set of pre-defined intentions. Customer service is valued highly by many businesses. The interaction between an organization's representative and a client may be automated in order to provide better service. The majority of clients have a specific request or question in mind when they contact the company ... Read More

Feed: R-bloggers. Author: Gary Hutson. The inclusive NHS-R community have welcomed me to complete my webinar hat trick for this year. In this webinar I focus on building a ML model from scratch. The overview of the webinar is: Build your first Machine Learning classification model with tidymodelsUnderstanding data processing for machine learningEvaluate your machine learning models with ROC curves and Confusion MatricesUnderstand the tidy models process for model creationUnderstand sampling methods in machine learning model creationWork with packages such as recipes, yardstick, rsample, tune, parsnip and caretUsing the ConfusionTableR package to flatten confusion matrix outputs for storing in databasesSerialise ... Read More

Feed: Top Blog Posts. Author: Roger Max. Intent classification is also known as intent recognition is a branch of Natural Language Processing that focuses on categorizing text into various groups in order to make it easier to understand. In essence, intent classification is the act of correctly detecting natural language speech from a set of pre-defined intentions. Customer service is valued highly by many businesses. The interaction between an organization's representative and a client may be automated in order to provide better service. The majority of clients have a specific request or question in mind when they contact the company ... Read More

Feed: Top Blog Posts. Author: Roger Max. Intent classification is also known as intent recognition is a branch of Natural Language Processing that focuses on categorizing text into various groups in order to make it easier to understand. In essence, intent classification is the act of correctly detecting natural language speech from a set of pre-defined intentions. Customer service is valued highly by many businesses. The interaction between an organization's representative and a client may be automated in order to provide better service. The majority of clients have a specific request or question in mind when they contact the company ... Read More