Cloud Computing, Decision Trees and Hadoop

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Cloud Computing

Decision Trees

Hadoop

Must-Have Skills for a Machine Learning Engineer

Pickl AI

NOVEMBER 28, 2024

Familiarity with cloud computing tools supports scalable model deployment. Decision Trees These trees split data into branches based on feature values, providing clear decision rules. A solid foundation in mathematics enhances model optimisation and performance.

Machine Learning

Machine Learning Machine Learning ML ML

Data science vs. machine learning: What’s the difference?

IBM Journey to AI blog

JULY 6, 2023

Today, machine learning has evolved to the point that engineers need to know applied mathematics, computer programming, statistical methods, probability concepts, data structure and other computer science fundamentals, and big data tools such as Hadoop and Hive.

Machine Learning

Machine Learning Machine Learning Data Science Big Data

Predicting the Future of Data Science

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. Dive Deep into Machine Learning and AI Technologies Study core Machine Learning concepts, including algorithms like linear regression and decision trees.

Data Science

Data Science Data Scientist Machine Learning Machine Learning

Webinars

Automation, Evolved: Your New Playbook For Smarter Knowledge Work

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Data Science Current

Must-Have Skills for a Machine Learning Engineer

Data science vs. machine learning: What’s the difference?

Predicting the Future of Data Science

Webinars

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