Hacker News

JULY 1, 2025

You will mostly work with Python and a range of ML frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers to solve hard Machine Learning tasks and help bring these application into production by building data pipelines and cloud infrastructure on all of the major cloud providers (GCP, AWS, Azure).

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Python AWS ML ML 100

Pickl AI

MAY 15, 2024

Dreaming of a Data Science career but started as an Analyst? This guide unlocks the path from Data Analyst to Data Scientist Architect. Data Analyst to Data Scientist: Level-up Your Data Science Career The ever-evolving field of Data Science is witnessing an explosion of data volume and complexity.

Data Analyst 52

Data Analyst Data Scientist Data Science Machine Learning 52

Dataconomy

SEPTEMBER 27, 2023

The Microsoft Certified Solutions Associate and Microsoft Certified Solutions Expert certifications cover a wide range of topics related to Microsoft’s technology suite, including Windows operating systems, Azure cloud computing, Office productivity software, Visual Studio programming tools, and SQL Server databases.

Database Administration 113

Database Administration Azure Database Cloud Computing 113

Smart Data Collective

NOVEMBER 8, 2020

CRON is best for small tasks, while Apache Airflow handles advanced and interdependent data. Learn Cloud Computing. The importance of cloud computing in data engineering cannot be avoided. Cloud platforms also distribute processing power equally. Should You Become a Data Engineer?

Data Engineering 104

Data Engineering Data Engineering Data Engineer Data Engineering 104

IBM Journey to AI blog

JUNE 5, 2024

SaaS takes advantage of cloud computing infrastructure and economies of scale to provide clients a more streamlined approach to adopting, using and paying for software. However, SaaS architectures can easily overwhelm DevOps teams with data aggregation, sorting and analysis tasks.

Analytics 94

Analytics Analytics AI AI 94

Pickl AI

JANUARY 13, 2025

Key Skills Experience with cloud platforms (AWS, Azure). Data Analyst Data Analysts gather and interpret data to help organisations make informed decisions. They play a crucial role in shaping business strategies based on data insights. They ensure that AI systems are scalable and efficient.

AI 52

AI AI Machine Learning Machine Learning 52

Pickl AI

DECEMBER 4, 2024

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. Embrace Cloud Computing Cloud computing is integral to modern Data Science practices. Additionally, familiarity with cloud platforms (e.g.,

Data Science 52

Data Science Data Scientist Machine Learning Machine Learning 52