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An efficient resume should promote your abilities and include tangible accomplishments that are relevant to the job you apply for. You should also prepare a cover letter that is concise and elaborates on how you can put your skills to use in the organization.

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Understand the Basics

Make sure you have a solid understanding of fundamental machine learning concepts such as supervised learning, unsupervised learning, feature engineering, model evaluation, and optimization techniques.

Practice Coding

Be prepared to write code on a whiteboard or in a coding environment. Practice coding commonly used algorithms and data manipulation tasks in Python, such as implementing classifiers, regression models, or neural networks, and understand how to use libraries like NumPy, Pandas, and scikit-learn.

Know Your Algorithms

Familiarize yourself with a variety of machine learning algorithms and their pros and cons. Be prepared to discuss when and why you might choose one algorithm over another for a given problem.

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