If you are here, you already know the truth: machine learning is the future of everything.
In the coming years, there will not be a single industry in the world that is not affected by machine learning. As a transforming force, you can choose to understand it now or leave behind a wave of incredible changes.
You are probably already using applications based on machine learning techniques several times a day. So why stay in the dark for longer?
I thought Machine Learning was all about Python and R?
Does this course focus on algorithms or math or tensor flow or what?
Let’s face it: the vast majority of available ML courses dance online on confusing topics. They encourage you to use pre-built algorithms and functions that do all the work for you. While this can lead to rapid success, it ultimately affects your ability to understand LD. You can only understand the application of ML techniques if you understand the underlying algorithms.
That is the objective of this course: I want you to understand the exact math and programming techniques used in the most common ML algorithms. Once you have this knowledge, you can quickly learn new algorithms and create much more interesting projects and applications than other engineers who only understand how to share data with a magic library.
Do you not have a mathematical background? It’s okay! I pay special attention to ensure that no conference goes too far from the topic of “mathematics” without giving an adequate introduction to the processes.
Requirements for the Course
Who Is This Course For
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