Calculus for Data Science & Machine Learning – 2020

Calculus for Data Science & Machine Learning – 2020
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CALCULUS for DATA SCIENCE & MACHINE LEARNING COURSE DESCRIPTIONWhat is Calculus?Applications of Calculus in MLCalculus Notation Computation Map Linear Functions Derivative Product & Quotient Rule Exponential & Logarithm Rule Sine and Cosine Functions Sigmoid Function Hyperbolic Function Chain Rule Differentiation Multivariable Functions Partial Differentiation Sigma Notation Taylor/Mclaurin Series Expansion Integration Area Between Curves Distance Measurement Argmax – Argmin WHY CALCULUS?Calculus is absolutely key to understanding the linear algebra and statistics you need in machine learning and data science. If you can understand machine learning methods at the level of derivative you will improve your intuition for how and when they work. A deeper understanding of the algorithm and its constraints will allow you to customize its application and better understand the impact of tuning parameters on the results. THE OPPORTUNITIES YOU WILL HAVE WITH THIS COURSEIn-class support: We don’t just give you video lessons. We have created a professional Python Programmer team and community to support you. This means that you will get answers to your questions within 24 hours. WHO WE ARE: DATAI TEAM ACADEMYDATAI TEAM is a team of Python Programmers and Data Scientists. Let’s register for the course and start to Calculus for Data Science & Machine Learning.

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