Math for Machine Learning

Learn the core topics of Machine Learning to open doors to data science and artificial intelligence.

Math for Machine Learning
Math for Machine Learning

Math for Machine Learning udemy course

Learn the core topics of Machine Learning to open doors to data science and artificial intelligence.

What you'll learn:

Mathematical Foundations of Machine Learning

  • Understand the principles of linear algebra and calculus, which are key mathematical concepts in machine learning and data analytics.
  • Use all three of the most important Python tensor libraries to manipulate tensors: NumPy, TensorFlow, and PyTorch are three Python libraries.
  • How to use all of the necessary vector and matrix operations in machine learning and data science.
  • Using eigenvectors, SVD, and PCA, reduce the dimensionality of complex data to the most informative elements.
  • Solve for unknowns using both simple and complicated strategies (e.g., elimination) (e.g., pseudo inversion)
  • Learn how calculus works from the ground up with interactive Python code samples.
  • Understand complex differentiation principles such as the chain rule in depth.
  • Calculate the partial derivatives of machine-learning cost functions using TensorFlow and PyTorch as well as by hand.
  • Understand what gradients are and why they are necessary for ML to work via gradient descent.
  • Calculate the area under any curve using integral calculus.
  • To be able to grasp the details of cutting-edge machine learning publications in greater depth.
  • Develop a grasp of what goes on behind the scenes of machine learning algorithms, especially deep learning algorithms.

Requirements:

  • Because all of the code demos will be in Python or another object-oriented programming language, prior expertise with it or another object-oriented programming language will be beneficial in following along with the hands-on examples.
  • It will be simpler to follow along with the class if you are familiar with secondary school mathematics. You should be able to follow along with all of the mathematics if you are familiar with dealing with quantitative information, such as comprehending charts and rearranging simple equations.

Description:

Would you like to learn a mathematics subject that is crucial for many high-demand lucrative career fields such as:

  • Computer Science
  • Data Science
  • Artificial Intelligence

If you're looking to gain a solid foundation in Machine Learning to further your career goals, in a way that allows you to study on your own schedule at a fraction of the cost it would take at a traditional university, this online course is for you. If you're a working professional needing a refresher on machine learning or a complete beginner who needs to learn Machine Learning for the first time, this online course is for you. Math for Machine Learning Udemy

Why you should take this online course: You need to refresh your knowledge of machine learning for your career to earn a higher salary. You need to learn machine learning because it is a required mathematical subject for your chosen career field such as data science or artificial intelligence. You intend to pursue a masters degree or PhD, and machine learning is a required or recommended subject.

Why you should choose this instructor: I earned my PhD in Mathematics from the University of California, Riverside. I have created many successful online math courses that students around the world have found invaluable—courses in linear algebra, discrete math, and calculus.

In this course, I cover the core concepts such as:

  • Linear Regression
  • Linear Discriminant Analysis
  • Logistic Regression
  • Artificial Neural Networks
  • Support Vector Machines

After taking this course, you will feel CARE-FREE AND CONFIDENT. I will break it all down into bite-sized no-brainer chunksI explain each definition and go through each example STEP BY STEP so that you understand each topic clearly. I will also be AVAILABLE TO ANSWER ANY QUESTIONS you might have on the lecture material or any other questions you are struggling with.

Practice problems are provided for you, and detailed solutions are also provided to check your understanding.

30 day full refund if not satisfied.

Grab a cup of coffee and start listening to the first lecture. I, and your peers, are here to help. We're waiting for your insights and questions! Enroll now!

Who this course is for:

Course Details:

  • 5 hours on-demand video
  • 14 articles
  • 23 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Math for Machine Learning udemy free download

Learn the core topics of Machine Learning to open doors to data science and artificial intelligence.

Demo Link: https://www.udemy.com/course/mathematics-for-machine-learning/