- 1. UDEMY 2021 - Build a real world responsive website with Html 5 css 3 & JS
- 2. UDEMY 2021 - iOS 11 & Swift 4 – The Complete iOS App Development Bootcamp
- 3. UDEMY 2021 - C# Intermediate Classes, Interfaces and OOP
- 4. UDEMY 2021 - Practical Data Structures & Algorithms in Java + HW
What you’ll learn
Understand how ML works without relying on mysterious libraries
In the coming years, there won’t be a single industry in the world untouched by Machine Learning. A transformative force, you can either choose to understand it now, or lose out on a wave of incredible change. You probably already use apps many times each day that rely upon Machine Learning techniques. So why stay in the dark any longer?
There are many courses on Machine Learning already available. I built this course to be the bestintroduction to the topic. No subject is left untouched, and we never leave any area in the dark. If you take this course, you will be prepared to enter and understand any sub-discipline in the world of Machine Learning.
Does this course focus on algorithms, or math, or Tensorflow, or what?!?!
Let’s be honest – the vast majority of ML courses available online dance around the confusing topics. They encourage you to use pre-build algorithms and functions that do all the heavy lifting for you. Although this can lead you to quick successes, in the end it will hamper your ability to understand ML. You can only understand how to apply ML techniques if you understand the underlying algorithms.
That’s the goal of this course – I want you to understand the exact math and programming techniquesthat are used in the most common ML algorithms. Once you have this knowledge, you can easily pick up new algorithms on the fly, and build far more interesting projects and applications than other engineers who only understand how to hand data to a magic library.
Don’t have a background in math? That’s OK! I take special care to make sure that no lecture gets too far into ‘mathy’ topics without giving a proper introduction to what is going on.
A short list of what you will learn:
Who is the target audience?
Created by Stephen GriderLast updated 12/2019EnglishEnglish [Auto-generated]