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Announcing the ODSC East 2024 Pre-Bootcamp Primer Courses

ODSC - Open Data Science

ODSC Bootcamp Primer: Data Wrangling with SQL Course January 25th @ 2PM EST This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in AI.

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Start Learning AI With the ODSC West Data Primer Series

ODSC - Open Data Science

SQL Primer Thursday, September 7th, 2023, 2 PM EST This SQL coding course teaches students the basics of Structured Query Language, which is a standard programming language used for managing and manipulating data and an essential tool in learning AI. You will learn how to design and write SQL code to solve real-world problems.

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How to become an AI Architect?

Pickl AI

The salary of an Artificial Intelligence Architect in India ranges between ₹ 18.0 An AI Architect is a skilled professional responsible for designing and implementing artificial intelligence solutions within an organization. from 2023 to 2030. Lakhs to ₹ 56.7 Their average annual salary is ₹ 31.8 Who is an AI Architect?

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Training Sessions Coming to ODSC APAC 2023

ODSC - Open Data Science

Build Classification and Regression Models with Spark on AWS Suman Debnath | Principal Developer Advocate, Data Engineering | Amazon Web Services This immersive session will cover optimizing PySpark and best practices for Spark MLlib. Finally, you’ll explore how to handle missing values and training and validating your models using PySpark.

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Journeying into the realms of ML engineers and data scientists

Dataconomy

With the explosion of big data and advancements in computing power, organizations can now collect, store, and analyze massive amounts of data to gain valuable insights. Machine learning, a subset of artificial intelligence , enables systems to learn and improve from data without being explicitly programmed.

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Introduction to R Programming For Data Science

Pickl AI

The programming language can handle Big Data and perform effective data analysis and statistical modelling. Hence, you can use R for classification, clustering, statistical tests and linear and non-linear modelling. How is R Used in Data Science? This tool may mimic difficult regression as well as classification issues.

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All You Need to Know about Transitioning your Career to Data Science from Computer Science

Pickl AI

By transitioning from computer science to data science, you can tap into a broader range of job opportunities and potentially increase your earning potential. Leveraging existing skills: Computer science provides a strong foundation in programming, algorithms, and problem-solving, which are highly valuable in data science.