Informit – Calculus for Machine Learning LiveLessons (Video Training) 2021-1 – Download

explanation

Calculus for Machine Learning LiveLessons (video training) is an algebra course for machine learning. This topic is necessary because calculating derivatives using optimization-based derivatives often involves machine learning patterns (including those used in deep learning, such as backpropagation and stochastic gradient descent). As you learn this theory, you will gain a functional understanding of how to use algebra to compute limits and derivative functions.

Here’s what you’ll learn in the Calculus for Machine Learning LiveLessons (video training) course:

Develop an understanding of how machine learning algorithms work, including those used in deep learning.
Use AutoDiff in the popular TensorFlow 2 and PyTorch libraries to calculate the derivative of a function.
Ability to understand other topics in the machine learning subset, including partial (relative derivative) information, multivariate algebras widely used in machine learning, information theory, and optimization algorithms.
Use integration to determine the area under the curve. For example, calculate the area under the ROC curve to evaluate model performance.

Course specifications

Publisher: Infomeet
teacher: john crone
Language: English
Level: Medium
Course: 58
Duration: 6 hours 14 minutes

Course Topics:

Lesson 1: Calculus Orientation

Unit 2: Limits

Lesson 3: Differentiation

Lesson 4: Advanced Differentiation Rules

Lesson 5: Automatic Differentiation

Chapter 6: Fractional Derivatives

Lesson 7: Gradients

Unit 8: Integrations

Course Prerequisites:

math: Once you become familiar with middle school level math, the lessons will be easier to follow. If you’re good at manipulating quantitative information, such as understanding charts and rearranging simple equations, you should be well prepared to keep up with all the math.

programming: All code demos are in Python, so having experience with Python or another object-oriented programming language will help you follow along with the hands-on examples.