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Become fluent in machine learning with this 6-course bundle on sale

January 21, 2022
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Deal pricing and availability subject to change after time of publication.

TL;DR: As of Jan. 21, The Ultimate Deep Learning & NLP Certification Bundle (worth $1,200) is on sale for just $29.99, which is over 97% off.


If you want to advance your career or learn a new skill, the least intimidating way to do it is to be able to learn on your own time and at your own pace. With the six-course Deep Learning and NLP Certification Bundle, you can do both and get ready to pass your NLP test in the process.

This course bundle has over 300 lessons on everything you need to know about machine learning. Start by learning how to bridge the gap between basic CNN and modern architectures, and even learn advanced applications of CNNs. From there, build on your skills with advanced NLP courses. You’ll not only gain the fundamental building blocks of Deep NLP, but you’ll also gain a higher level of thinking by building systems using all of the components you’ve absorbed so far. You’ll be able to build applications for problems like text classification, machine translation, and even stock predictions. From there, courses will cover matrix factorization algorithms, building models that classify images, sentiment analysis for problem-solving, and much more.

Each course is taught by an expert, like the Lazy Programmer — a data scientist, full-stack software engineer, and big data engineer. He has taught thousands of students about data science, statistics, machine learning, and more at schools like Columbia University, NYU, Humber College, and The New School. As both a front and back-end programmer, he knows all the ropes and what jobs will require of you once you jump into the field.

The six-course Deep Learning and NLP Certification Bundle is valued at $1,200, since you can learn everything at your own pace and courses never expire. But for a limited time, you can save 97% and start learning on your couch for just $29.99.

 Prices subject to change.

Credit: Lazy Programmer

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