Pickl AI

AUGUST 9, 2024

Summary: A comprehensive Big Data syllabus encompasses foundational concepts, essential technologies, data collection and storage methods, processing and analysis techniques, and visualisation strategies. Fundamentals of Big Data Understanding the fundamentals of Big Data is crucial for anyone entering this field.

Big Data 52

Big Data Big Data Big Data Analytics Big Data Analytics 52

Pickl AI

JANUARY 12, 2025

4 Steps to Combine Both Approaches Data-driven and AI-driven modelling involves integration in well-defined, structured steps where each surely can assure a mix of efficiency and insight with a broader view. Unify Data Sources Collect data from multiple systems into one cohesive dataset.

Artificial Intelligence 52

Artificial Intelligence Artificial Intelligence AI AI 52

Dataconomy

JUNE 13, 2023

These may include machine learning algorithms like neural networks, decision trees, support vector machines, or reinforcement learning. The chosen algorithms are then trained using the prepared data to learn patterns, make predictions, or generate recommendations.

Power BI 103

Power BI Data Analysis Data Analysis Artificial Intelligence 103

ODSC - Open Data Science

JANUARY 7, 2025

Scala is worth knowing if youre looking to branch into data engineering and working with big data more as its helpful for scaling applications. Data Engineering Data engineering remains integral to many data science roles, with workflow pipelines being a key focus.

Data Scientist 40

Data Scientist Data Science Machine Learning Machine Learning 40