Marktechpost

AUGUST 13, 2024

AI’s capacity for intelligent analysis, modeling, and management is becoming crucial in sectors like agriculture and forestry, where it aids in the sustainable use and protection of natural resources. However, the challenge lies in integrating and explaining multimodal data from various sources, such as sensors and images.

Robotics 107

Robotics Explainability Explainable AI Categorization 107

Marktechpost

JUNE 9, 2024

Explainable AI (xAI) methods, such as saliency maps and attention mechanisms, attempt to clarify these models by highlighting key ECG features. This approach enhances the interpretability and reliability of ECG classifications, bridging the gap between clinical needs and automated analysis. Check out the Paper.

Convolutional Neural Networks 125

Convolutional Neural Networks Neural Network Deep Learning Big Data 125

Pickl AI

FEBRUARY 17, 2025

Summary: Machine Learning’s key features include automation, which reduces human involvement, and scalability, which handles massive data. It uses predictive modelling to forecast future events and adaptiveness to improve with new data, plus generalization to analyse fresh data.

Machine Learning 52

Machine Learning Algorithm Explainability Data Quality 52

Unite.AI

JULY 5, 2024

Establishing strong information governance frameworks ensures data quality, security and regulatory compliance. This includes defining data standards, policies and processes for data management, as well as leveraging advanced analytics and big data technologies to extract actionable insights from health data.

Data Integration 147

Data Integration Data Quality Algorithm AI Modeling 147

Marktechpost

AUGUST 24, 2023

You will never miss any updates on ML/AI/CV/NLP fields because it is posted on a daily basis and highly moderated to avoid any spam. r/Automate The sub has more than 75k members participating in discussions and posts focused on automation.

Artificial Intelligence 97

Artificial Intelligence Artificial Intelligence Machine Learning Computer Vision 97

The MLOps Blog

JUNE 27, 2023

This includes features for hyperparameter tuning, automated model selection, and visualization of model metrics. Automated pipelining and workflow orchestration: Platforms should provide tools for automated pipelining and workflow orchestration, enabling you to define and manage complex ML pipelines.

Machine Learning 134

Machine Learning Metadata Data Scientist Data Quality 134

ODSC - Open Data Science

JUNE 1, 2023

With augmented analytics (and embedded insights), anyone can become a citizen data scientist, regardless of their advanced analytics expertise. Big Data and the Blue Economy Since the concept of the blue economy relies on managing and developing something so broad, utilizing big data may be necessary.

ML 52

ML Data Scientist Big Data Data Science 52

Mlearning.ai

SEPTEMBER 5, 2023

By analyzing granular data, InsightsAct uncovers vital insights that get lost in consolidated reports. Automated Discovery No more waiting around for manual analysis. InsightsAct’s AI engine works continuously in the background to surface relevant insights. First, automated insight detection.

Business Intelligence 52

Business Intelligence Automation Big Data Explainable AI 52

AWS Machine Learning Blog

NOVEMBER 9, 2023

Batch predictions with model monitoring – The inference pipeline built with Amazon SageMaker Pipelines runs on a scheduled basis to generate predictions along with model monitoring using SageMaker Model Monitor to detect data drift. data/ mammo-train-dataset-part2.csv data/mammo-batch-dataset.csv – Will be used to generate inferences.

Data Drift 121

Data Drift Auto-complete ML Automation 121

Pickl AI

JANUARY 13, 2025

It simplifies complex AI topics like clustering , dimensionality , and regression , providing practical examples and numeric calculations to enhance understanding. Key Features: Explains AI algorithms like clustering and regression. Explains big datas role in AI. Discusses structuring Big Data for AI.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Neural Network Machine Learning 52

Pickl AI

APRIL 2, 2024

Understanding Data Structured Data: Organized data with a clear format, often found in databases or spreadsheets. Unstructured Data: Data without a predefined structure, like text documents, social media posts, or images. Data Cleaning: Process of identifying and correcting errors or inconsistencies in datasets.

Data Science 52

Data Science Data Scientist Machine Learning Big Data 52

Pickl AI

JULY 24, 2024

The combination of increased computational power and innovative algorithms laid the foundation for the next wave of AI advancements. AI in the 21st Century The 21st century has witnessed an unprecedented boom in AI research and applications. 2011: IBM Watson defeats Ken Jennings on the quiz show “Jeopardy!

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Natural Language Processing Neural Network 52

Dlabs.ai

MAY 22, 2022

The first is for Data Scientists / Machine Learning Engineers, consisting of eight parts: Big Data & Machine Learning Fundamentals Perform Foundational Data, ML, and AI Tasks in Google Cloud Machine Learning on Google Cloud Advanced Machine Learning with TensorFlow on Google Cloud Platform MLOps (Machine Learning Operations) Fundamentals ML Pipelines (..)

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence Machine Learning Neural Network 52