Machine Learning Prerequisites for 2021
- 4.3
-
![]()
![]()
![]()
![]()
Brief Introduction
Learn the foundation and prerequisites to become a Machine Learning EngineerDescription
In this course, you are going to learn the prerequisites for machine learning. Machine Learning is a vast subject that involved various other fields like Mathematics and Statistics which makes it complex. So when someone starts this journey there are very high chances to get confused due to too many concepts bombarded at you. It's an experienced opinion that a strong foundation can help us to make this journey much easier, this will provide a jump start for modern machine learning by teaching the important concepts required to get started with machine learning.
We will start this course by getting ourself introduced withe machine learning then we will set up the development environment on various systems and move towards mathematics where we will explore various important concepts from Calculus and Linear Algebra followed by Statistics where we will learn about the Probability distribution, bias, and variance, mean, median and mode along with various other important concepts.
Requirements
- Requirements
- Basics of Python
Pythonist org
4.3 Raiting
Machine Learning, Data Science and Deep Learning with Python
- 4.7
-
![]()
![]()
![]()
![]()
![]()
Complete hands-on machine learning tutorial with data science, Tensorflow, artificial intelligence, and neural networks New! Updated for 2021 with extra content on generative models: variational auto-encoders (VAE's) and generative adversarial models (GAN's)...
Bayesian Machine Learning in Python: A/B Testing
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Data Science, Machine Learning, and Data Analytics Techniques for Marketing, Digital Media, Online Advertising, and More This course is all about A/B testing....
Deep Learning Prerequisites: Logistic Regression in Python
- 4.6
-
![]()
![]()
![]()
![]()
![]()
Data science, machine learning, and artificial intelligence in Python for students and professionals We cover the theory from the ground up: derivation of the solution, and applications to real-world problems....
Cloud Computing Foundations
- 4.7
-
![]()
![]()
![]()
![]()
![]()
You will also learn how to apply Agile software development techniques to projects which will be useful in building portfolio projects and global-scale Cloud infrastructures....
