Mastery in Deep Learning & Natural Language Processing (NLP) & Computer Vision

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Machine Learning and artificial intelligence (AI) are everywhere; if you want to know how companies like Google, Amazon, and even Tesla self-driving cars extract meaning and insights from massive data sets, this “Mastery in Deep Learning, NLP and Computer Vision course is what you need. Data Scientists, Machine Learning Engineers enjoy one of the top-paying jobs, with an average salary of $120,000 according to Glassdoor and Indeed. That’s just the average! And it’s not just about money – it’s interesting work too!

If you’ve got some programming or scripting experience, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry – and prepare you for a move into this hot career path. This comprehensive course includes hands-on Python code examples you can use for reference and for practice.

Each concept is introduced in plain English, avoiding confusing mathematical notation and jargon. It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. You won’t find academic, deeply mathematical coverage of these algorithms in this course – the focus is on practical understanding and application of them. In the end, you’ll be given a final project to apply what you’ve learned!

Who this course is for:

  • Software developers or programmers who want to transition into the lucrative data science and machine learning career path will learn a lot from this course.
  • Technologists curious about how deep learning really works
  • Data analysts in the finance or other non-tech industries who want to transition into the tech industry can use this course to learn how to analyze data using code instead of tools. But, you’ll need some prior experience in coding or scripting to be successful.
  • If you have no prior coding or scripting experience, you should NOT take this course – yet. Go take an introductory Python course first.

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