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10 Must-Have AI Engineering Skills in 2024

Data Science Dojo

Python Python is perhaps the most critical programming language for AI due to its simplicity and readability, coupled with a robust ecosystem of libraries like TensorFlow, PyTorch, and Scikit-learn, which are essential for machine learning and deep learning.

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6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

For frameworks and languages, there’s SAS, Python, R, Apache Hadoop and many others. Cloud Computing and Related Mechanics. Big data, advanced analytics, machine learning, none of these technologies would exist without cloud computing and the resulting infrastructure.

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Data Science Blogathon 30th Edition- Women in Data Science

Analytics Vidhya

The Biggest Data Science Blogathon is now live! Knowledge is power. Sharing knowledge is the key to unlocking that power.”― Martin Uzochukwu Ugwu Analytics Vidhya is back with the largest data-sharing knowledge competition- The Data Science Blogathon.

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Data Science Career FAQs Answered: Educational Background

Mlearning.ai

Mathematics for Machine Learning and Data Science Specialization Proficiency in Programming Data scientists need to be skilled in programming languages commonly used in data science, such as Python or R. Check out this course to upskill on Apache Spark —  [link] Cloud Computing technologies such as AWS, GCP, Azure will also be a plus.

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Discover the Most Important Fundamentals of Data Engineering

Pickl AI

Among these tools, Apache Hadoop, Apache Spark, and Apache Kafka stand out for their unique capabilities and widespread usage. Apache Hadoop Hadoop is a powerful framework that enables distributed storage and processing of large data sets across clusters of computers.