Calculus for Machine Learning LiveLessons (Video Training)

Calculus for Machine Learning LiveLessons (Video Training)

Description

Calculus for Machine Learning LiveLessons (Video Training), is an algebra training course (introductory math) for machine learning. These topics are necessary because derivative calculations using basic derivation optimize most machine learning patterns (including those used in deep learning such as backpropagation and stochastic gradient descent). While learning this theory, you will gain a working understanding of how algebra can be used to calculate limit functions and derivatives.

What you will learn in Calculus for Machine Learning LiveLessons (Video Training):

  • Developing an understanding of how machine learning algorithms work, including those used in deep learning.
  • Calculate the derivative of functions using AutoDiff in the popular TensorFlow 2 and PyTorch libraries
  • The ability to understand partial derivative information (relative derivative), multivariate algebra, which is widely used in machine learning, and other subcategories of machine learning, including information theory and optimization algorithms.
  • Using the integral to determine the area under the curve, for example calculating the area under the ROC curve to evaluate the performance of the model

Course details

Publisher: Informit
Instructors: Jon Krohn
English language
Education level: Intermediate
Number of courses: 58
Duration: 6 hours and 14 minutes

Course topics:

Lesson 1: Orientation to Calculus

Lesson 2: Limits

Lesson 3: Differentiation

Lesson 4: Advanced Differentiation Rules

Lesson 5: Automatic Differentiation

Lesson 6: Partial Derivatives

Lesson 7: Gradients

Lesson 8: Integrals

Course prerequisites:

Mathematics: Familiarity with secondary school-level mathematics will make the class easier to follow. If you are comfortable dealing with quantitative information, such as understanding charts and rearranging simple equations, you should be well prepared to follow along with all the mathematics.

Programming: All code demos are in Python, so experience with it or another object-oriented programming language would be helpful for following along with the hands-on examples.

Pictures

Sample video

Installation guide

After Extract, view with your favorite Player.

Subtitle: None

Quality: 720p

download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 2 GB

Download part 5 – 633 MB

Password file(s): www.downloadly.ir

Size

8.6 GB

4.2/5 – (3668 points)

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