Data Science Blog

FEBRUARY 23, 2023

1, Data is the new oil, but labeled data might be closer to it Even though we have been in the 3rd AI boom and machine learning is showing concrete effectiveness at a commercial level, after the first two AI booms we are facing a problem: lack of labeled data or data themselves.

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Pickl AI

NOVEMBER 4, 2024

Here are some recommended projects to help reinforce your learning: Data Analysis Project Start with a dataset from sources like Kaggle or UCI Machine Learning Repository. Perform exploratory Data Analysis (EDA) using Pandas and visualise your findings with Matplotlib or Seaborn.

Data Science 52

Data Science Python Machine Learning Machine Learning 52

ODSC - Open Data Science

AUGUST 9, 2023

Our focus will be hands-on, with an emphasis on the practical application and understanding of essential machine learning concepts. Attendees will be introduced to a variety of machine learning algorithms, placing a spotlight on logistic regression, a potent supervised learning technique for solving binary classification problems.

Machine Learning 52

Machine Learning Machine Learning AWS Big Data 52

Pickl AI

FEBRUARY 12, 2024

This theorem is crucial in inferential statistics as it allows us to make inferences about the population parameters based on sample data. Differentiate between supervised and unsupervised learning algorithms. What is the Central Limit Theorem, and why is it important in statistics?

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Pickl AI

SEPTEMBER 12, 2024

Association Rule Learning: A rule-based Machine Learning method to discover interesting relationships between variables in large databases. B Big Data : Large datasets characterised by high volume, velocity, variety, and veracity, requiring specialised techniques and technologies for analysis.

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Data Analyst Data Science Machine Learning Machine Learning 52