Pickl AI

NOVEMBER 28, 2024

Decision Trees These trees split data into branches based on feature values, providing clear decision rules. Cloud platforms like AWS , Google Cloud Platform (GCP), and Microsoft Azure provide managed services for Machine Learning, offering tools for model training, storage, and inference at scale.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

DECEMBER 4, 2024

Dive Deep into Machine Learning and AI Technologies Study core Machine Learning concepts, including algorithms like linear regression and decision trees. Familiarise yourself with cloud platforms like AWS, Google Cloud Platform , or Microsoft Azure for storing and processing large datasets.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Pickl AI

APRIL 26, 2024

What are the advantages and disadvantages of decision trees ? Have you worked with cloud-based data platforms like AWS, Google Cloud, or Azure? Then, I would use predictive modelling techniques like logistic regression or decision trees to identify significant predictors of churn and develop strategies to address them.

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Dataconomy

MARCH 13, 2023

Here are some of the essential tools and platforms that you need to consider: Cloud platforms Cloud platforms such as AWS , Google Cloud , and Microsoft Azure provide a range of services and tools that make it easier to develop, deploy, and manage AI applications.

Artificial Intelligence 98

Artificial Intelligence Artificial Intelligence Natural Language Processing Algorithm 98

ODSC - Open Data Science

JANUARY 7, 2025

Classification techniques like random forests, decision trees, and support vector machines are among the most widely used, enabling tasks such as categorizing data and building predictive models. These methods can be grouped into several distinct categories based on their utility and application.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40

DagsHub

OCTOBER 14, 2024

It works with various storage backends, such as AWS S3 , Google Cloud Storage , Azure blog storage , and local storage, to store datasets and model files. It enables developers to define machine learning pipelines with stages like data preprocessing, model training, evaluation, and more.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Heartbeat

MAY 29, 2023

The weak models can be trained using techniques such as decision trees or neural networks, and the outputs are combined using techniques such as weighted averaging or gradient boosting. Boosting can help to improve the accuracy and generalization of the final model.

Machine Learning 78

Machine Learning Machine Learning Natural Language Processing Data Preparation 78

AssemblyAI

NOVEMBER 9, 2023

High variance means overfitting models with high flexibility tend to have high variance like decision trees. Microsoft Azure Text Summarization As part of its Text Analytics suite, Azure ’s Text Summarization API offers extractive summarization for articles, papers, or documents.

AI 102

AI AI Machine Learning Machine Learning 102