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Jump into machine learning with these concise and rigorous hands-on Python tutorials.
Machine learning is one of the hottest new technologies to emerge in the last decade, transforming fields from consumer electronics and healthcare to retail. This has led to intense curiosity about the industry among many students and working professionals.
If you’re a tech professional—such as a software developer, business analyst, or even a product manager—you might be curious about how machine learning can change the way you work and take your career to the next level. However, as a busy professional, you’re probably also looking for a way to get a solid understanding of machine learning that’s not only rigorous and practical, but also concise and fast. This machine learning tutorial will help you achieve your goals.
There are many wonderful online resources to get you started on machine learning. However, we’ve curated this free machine learning course with the following aims in mind:
At the end of this learning path, you’ll have a clear idea of what machine learning is, what the most common techniques in the field are, and through hands-on tutorials, you'll learn how to implement actual machine learning systems in Python.
You’re comfortable programming in at least one language and curious about transitioning to data science. In particular, you want to have a strong understanding of what machine learning is, what the different techniques are, and what machine learning can actually do. You want to understand how to work with this new technology with a free machine learning python tutorial.
None! Anyone with an interest in machine learning is welcome to enroll and enjoy this course!
This machine learning training does not come with a job guarantee but is a great way to explore the subject OR refresh your skills before a job search.
Absolutely! This learning path was designed with beginners in mind and is structured to cover the basics of machine learning and pything.
Both machine learning and Python take effort and time to learn. Machine learning involves math, but libraries like TensorFlow, Keras, Scikit-Learn simplify implementation.