Kickstart a new career with this discounted machine learning bundle
TL;DR: The Premium Machine Learning Artificial Intelligence Super Bundle is on sale for £27.90, saving you 98% on list price.
Understanding Python is the key to unlocking the fundamentals of machine learning, and if this career path has been calling to you, you don't have to go back to school and shell out thousands of pounds just to sharpen your skills. You just have to unlock lifetime access to this 12-course bundle that covers deep learning, machine learning, Python, and much more.
Kick off your machine learning journey by learning the fundamentals of Python. The hands-on introductory course will teach you the basics and foundation of Python, along with practical problems and examples that you can solve with step-by-step help. Then, you'll dive into machine learning and data science developer certification.
This training curriculum covers key technologies, principles, and practices you need to play a key role in any data science development team. It'll even help you distinguish yourself professionally by learning how to fill in the blanks or needs of any working team. The rest of the courses cover Scikit, Numpy, Pandas, and much more by providing real-life exercises. Hands-on training is provided throughout the way, and you can learn to create deep learning algorithms on all of the platforms you're practicing on.
Each course is taught by experts in their fields, like Juan E. Galvan who boasts a 4.4 out of five-star instructor rating. Galvan has founded several companies, sold on online marketplaces, and even founded Sezmi SEO, an agency based in Seattle. He knows exactly what you need to know to be successful in this field, and explains it all in easy-to-digest lessons.
With the Premium Machine Learning Artificial Intelligence Super Bundle, you get lifetime access to all 12 courses and 438 lessons that come included in this series. And for a limited time, you can unlock access to all of the courses for just £27.90.
✍ Credit given to the original owner of this post : ☕ Mashable
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