Data Science Dojo

FEBRUARY 20, 2023

Spark is well suited to applications that involve large volumes of data, real-time computing, model optimization, and deployment. Read about Apache Zeppelin: Magnum Opus of MLOps in detail AWS SageMaker AWS SageMaker is an AI service that allows developers to build, train and manage AI models.

Machine Learning 195

Machine Learning Machine Learning AWS Azure 195

Data Science Connect

JANUARY 27, 2023

Data engineering is a crucial field that plays a vital role in the data pipeline of any organization. It is the process of collecting, storing, managing, and analyzing large amounts of data, and data engineers are responsible for designing and implementing the systems and infrastructure that make this possible.

Data Engineering 130

Data Engineering Data Engineer Data Engineering Data Engineering 130

Pickl AI

MAY 15, 2024

As a Data Analyst, you’ve honed your skills in data wrangling, analysis, and communication. But the allure of tackling large-scale projects, building robust models for complex problems, and orchestrating data pipelines might be pushing you to transition into Data Science architecture.

Data Analyst 52

Data Analyst Data Scientist Data Science Machine Learning 52

ODSC - Open Data Science

FEBRUARY 17, 2023

Computer science, math, statistics, programming, and software development are all skills required in NLP projects. Cloud Computing, APIs, and Data Engineering NLP experts don’t go straight into conducting sentiment analysis on their personal laptops. Google Cloud is starting to make a name for itself as well.

Deep Learning 111

Deep Learning Deep Learning Data Science Natural Language Processing 111

phData

MAY 25, 2023

Snowflake is a cloud computing–based data cloud company that provides data warehousing services that are far more scalable and flexible than traditional data warehousing products. In a perfect world, Microsoft would have clients push even more storage and compute to its Azure Synapse platform.

Power BI 84

Power BI Analytics Analytics Azure 84

The MLOps Blog

JUNE 27, 2023

For example, if you use AWS, you may prefer Amazon SageMaker as an MLOps platform that integrates with other AWS services. SageMaker Studio offers built-in algorithms, automated model tuning, and seamless integration with AWS services, making it a powerful platform for developing and deploying machine learning solutions at scale.

Machine Learning 134

Machine Learning Machine Learning ML ML 134