databricks

JUNE 12, 2025

It gives these users a single, intuitive entry point to interact with data and AI—without needing to understand clusters, queries, models, or notebooks. Databricks One is a new product experience designed specifically for business users. The Future of Databricks One This is just the beginning for Databricks One.

Data Engineer 253

Data Engineer Data Engineering Data Engineering Data Engineering 253

Flipboard

JUNE 13, 2025

Unsupervised Learning: Focuses on identifying patterns in unlabeled data, such as clustering customers based on purchasing behavior or reducing data dimensions for visualization. Cloud Computing: Scaling AI Solutions Cloud computing platforms like AWS, Google Cloud, and Microsoft Azure are indispensable for deploying and scaling AI models.

Artificial Intelligence 73

Artificial Intelligence Artificial Intelligence Exploratory Data Analysis Machine Learning 73

Hacker News

JULY 1, 2025

I have about 3 YoE training PyTorch models on HPC clusters and 1 YoE optimizing PyTorch models, including with custom CUDA kernels. Familiar with cloud systems administration on AWS, GCP, and Azure. Ideal job would be designing, developing (CRDs, operators), monitoring and troubleshooting K8s clusters. CCNA, SCSA, MCP.

Python 69

Python AWS SQL ML 69

Data Science Blog

JUNE 30, 2023

The skill clusters are formed via the discipline of Topic Modelling , a method from unsupervised machine learning , which show the differences in the distribution of requirements between them. DATANOMIQ Jobskills Webapp The whole web app is hosted and deployed on the Microsoft Azure Cloud via CI/CD and Infrastructure as Code (IaC).

Data Engineering 130

Data Engineering Data Engineering Data Engineering Data Engineer 130

Data Science Dojo

JULY 3, 2024

Tools like Tableau, Power BI, and Python libraries such as Matplotlib and Seaborn are commonly taught. Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Tools and frameworks like Scikit-Learn, TensorFlow, and Keras are often covered.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

phData

DECEMBER 4, 2023

Thirty seconds is a good default for human users; if you find that queries are regularly queueing, consider making your warehouse a multi-cluster that scales on-demand. Cluster Count If your warehouse has to serve many concurrent requests, you may need to increase the cluster count to meet demand. authorization server.

Clustering 98

Clustering Database SQL Data Pipeline 98

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Cloud Storage: Services like Amazon S3, Google Cloud Storage, and Microsoft Azure Blob Storage provide scalable storage solutions that can accommodate massive datasets with ease. Data lakes and cloud storage provide scalable solutions for large datasets.

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52