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Supercharge your skill set with 9 free machine learning courses

Data Science Dojo

Machine Learning for Data Science by Carlos Guestrin This is an intermediate-level course that teaches you how to use machine learning for data science tasks. The course covers topics such as data wrangling, feature engineering, and model selection. Step up your game and make accurate predictions based on vast datasets.

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Data Science Dojo - Untitled Article

Data Science Dojo

They offer the ability to challenge one’s knowledge and get hands-on practice to boost their skills in areas, including, but not limited to, exploratory data analysis, data visualization, data wrangling, machine learning, and everything essential to learning data science.

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Top 7 data science, AI and large language models blogs of 2023

Data Science Dojo

They offer the ability to challenge one’s knowledge and get hands-on practice to boost their skills in areas, including, but not limited to, exploratory data analysis, data visualization, data wrangling, machine learning, and everything essential to learning data science.

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Getting Started with AI

Towards AI

McKinney, Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython, 2nd ed., Natural Language Processing with Python — Analyzing Text with the Natural Language Toolkit. Mirjalili, Python Machine Learning, 2nd ed. Packt, ISBN: 978–1787125933, 2017. Klein, and E.

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Big Data Analysis with PySpark Bharti Motwani | Associate Professor | University of Maryland, USA Ideal for business analysts, this session will provide practical examples of how to use PySpark to solve business problems. Finally, you’ll discuss a stack that offers an improved UX that frees up time for tasks that matter.

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Enabling Resilient Machine Learning Systems

ODSC - Open Data Science

This new feature enables you to run large data wrangling operations efficiently, within Azure ML, by leveraging Azure Synapse Analytics to get access to an Apache Spark pool. Causal analysis , to understand the causal effects of treatment features on real-world outcomes.

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Introduction to R Programming For Data Science

Pickl AI

As a programming language it provides objects, operators and functions allowing you to explore, model and visualise data. The programming language can handle Big Data and perform effective data analysis and statistical modelling.