Data Science Dojo

AUGUST 11, 2023

Machine learning is a field of computer science that uses statistical techniques to build models from data. These models can be used to predict future outcomes or to classify data into different categories. There are many different types of models that can be used in data science.

Data Science 195

Data Science Python Data Scientist Decision Trees 195

ODSC - Open Data Science

FEBRUARY 17, 2023

Data Science Fundamentals Going beyond knowing machine learning as a core skill, knowing programming and computer science basics will show that you have a solid foundation in the field. Computer science, math, statistics, programming, and software development are all skills required in NLP projects.

Data Science 111

Data Science Deep Learning Deep Learning Natural Language Processing 111

Flipboard

AUGUST 17, 2023

AWS Glue is a serverless data integration service that makes it easy to discover, prepare, and combine data for analytics, ML, and application development. Here we use RedshiftDatasetDefinition to retrieve the dataset from the Redshift cluster. We attached the IAM role to the Redshift cluster that we created earlier.

ML 123

ML ML AWS Data Warehouse 123

AWS Machine Learning Blog

OCTOBER 23, 2024

He focuses on Deep learning including NLP and Computer Vision domains. Greg Benson is a Professor of Computer Science at the University of San Francisco and Chief Scientist at SnapLogic. Greg has published research in the areas of operating systems, parallel computing, and distributed systems.

AI 85

AI AI AWS Database 85

Pickl AI

JULY 25, 2023

Data engineers are essential professionals responsible for designing, constructing, and maintaining an organization’s data infrastructure. They create data pipelines, ETL processes, and databases to facilitate smooth data flow and storage. Read more to know. Cloud Platforms: AWS, Azure, Google Cloud, etc.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52

Data Science Dojo

JULY 3, 2024

Machine Learning : Supervised and unsupervised learning algorithms, including regression, classification, clustering, and deep learning. Big Data Technologies : Handling and processing large datasets using tools like Hadoop, Spark, and cloud platforms such as AWS and Google Cloud.

Data Science 150

Data Science Machine Learning Machine Learning Data Visualization 150

AWS Machine Learning Blog

SEPTEMBER 18, 2023

With Ray and AIR, the same Python code can scale seamlessly from a laptop to a large cluster. The managed infrastructure of SageMaker and features like processing jobs, training jobs, and hyperparameter tuning jobs can use Ray libraries underneath for distributed computing. You can specify resource requirements in actors too.

Machine Learning 129

Machine Learning Machine Learning ML ML 129