Pickl AI

SEPTEMBER 5, 2024

Summary: This blog provides a comprehensive roadmap for aspiring Azure Data Scientists, outlining the essential skills, certifications, and steps to build a successful career in Data Science using Microsoft Azure. What is Azure?

Azure 52

Azure Data Scientist Data Science Machine Learning 52

Becoming Human

MAY 11, 2023

It covers everything from data preparation and model training to deployment, monitoring, and maintenance. The MLOps process can be broken down into four main stages: Data Preparation: This involves collecting and cleaning data to ensure it is ready for analysis.

Machine Learning 78

Machine Learning Machine Learning DataOps Cloud Computing 78

ODSC - Open Data Science

OCTOBER 9, 2023

BPCS’s deep understanding of Databricks can help organizations of all sizes get the most out of the platform, with services spanning data migration, engineering, science, ML, and cloud optimization. HPCC is a high-performance computing platform that helps organizations process and analyze large amounts of data.

Machine Learning 52

Machine Learning Machine Learning Data Science AI 52

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Data Transformation Transforming data prepares it for Machine Learning models. Encoding categorical variables converts non-numeric data into a usable format for ML models, often using techniques like one-hot encoding.

Machine Learning 52

Machine Learning Machine Learning ML ML 52

Pickl AI

DECEMBER 4, 2024

Currently, organisations across sectors are leveraging Data Science to improve customer experiences, streamline operations, and drive strategic initiatives. A key aspect of this evolution is the increased adoption of cloud computing, which allows businesses to store and process vast amounts of data efficiently.

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52

Becoming Human

MAY 15, 2023

It includes a range of tools and features for data preparation, model training, and deployment, making it an ideal platform for large-scale ML projects. Three of the most popular cloud platforms are Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure.

Data Science 75

Data Science Machine Learning Machine Learning Database 75

Pickl AI

NOVEMBER 4, 2024

By implementing efficient data pipelines , organisations can enhance their data processing capabilities, reduce time spent on data preparation, and improve overall data accessibility. Data Storage Solutions Data storage solutions are critical in determining how data is organised, accessed, and managed.

Data Engineering 52

Data Engineering Data Engineer Data Engineering Data Engineering 52