Data Science Dojo

MAY 24, 2024

For example, predictive maintenance in manufacturing uses machine learning to anticipate equipment failures before they occur, reducing downtime and saving costs. Deep Learning Deep learning is a subset of machine learning based on artificial neural networks, where the model learns to perform tasks directly from text, images, or sounds.

AI 195

AI AI Deep Learning Deep Learning 195

AWS Machine Learning Blog

MAY 16, 2024

Therefore, we decided to introduce a deep learning-based recommendation algorithm that can identify not only linear relationships in the data, but also more complex relationships. With Amazon EMR, which provides fully managed environments like Apache Hadoop and Spark, we were able to process data faster.

AWS 126

AWS ML ML Deep Learning 126

Analytics Vidhya

MARCH 8, 2023

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

Data Science 345

Data Science Analytics Analytics Apache Hadoop 345

Pickl AI

JULY 25, 2023

Machine Learning: Supervised and unsupervised learning techniques, deep learning, etc. Big Data Technologies: Hadoop, Spark, etc. ETL Tools: Apache NiFi, Talend, etc. Big Data Processing: Apache Hadoop, Apache Spark, etc. Cloud Platforms: AWS, Azure, Google Cloud, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

DagsHub

OCTOBER 23, 2024

Apache Hadoop Apache Hadoop is an open-source framework that supports the distributed processing of large datasets across clusters of computers. Tabular Data Extraction Deep learning models can extract structured information from unstructured sources, such as PDFs and images, into tabular formats.

Machine Learning 52

Machine Learning Machine Learning AI AI 52

Pickl AI

JULY 20, 2023

Image Recognition with Deep Learning: Use Python with TensorFlow or PyTorch to build an image recognition model (e.g., When working on these projects, students should focus on understanding the principles of big data analytics, data preprocessing, machine learning, and data visualization using Python libraries. ImageNet).

Analytics 40

Analytics Analytics Big Data Big Data 40