Learn the best and most modern programming language for data science, machine learning, deep learning and AI
Do you want to learn data science, machine learning, deep learning, and AI but you are not sure about the programming language to learn?
What you’ll learn
- Learn the groundbreaking Julia language: Speed of C, ease of Python.
- Master Julia language to be able to use it in data science, machine learning and artificial intelligence.
- Learn the fundamental principles of programming that you can use while learning other programming languages..
- Program in Julia language professionally.
Course Content
- Introduction –> 4 lectures • 23min.
- Starting with Julia –> 4 lectures • 29min.
- Variables, Data Types and Operations –> 9 lectures • 2hr 1min.
- Data Structures –> 10 lectures • 1hr 28min.
- Conditionals and Loops –> 10 lectures • 53min.
- Functions –> 9 lectures • 48min.
Requirements
- The only prerequisite is the motivation of learning..
- No programming experience is required..
- A computer running Windows, MAC or Linux..
Do you want to learn data science, machine learning, deep learning, and AI but you are not sure about the programming language to learn?
Or you may be using Python and R, but you are tired of their low speed.
Julia is a modern programming language developed for data science, machine learning and AI. It is a dynamically typed language which is easy to learn and use and has the speed of C.
This is the first of a series of courses I plan to teach data science, machine learning and deep learning using Julia. Other courses, “Data Science with Julia”, “Machine Learning with Julia” and “Deep Learning with Julia” will follow. In this course, you will learn programming in Julia proficiently. In the upcoming courses you will learn both machine learning and deep learning algorithms and how to build those algorithms from scratch using Julia.
Besides being ideal for data science and machine learning, Julia is also ideal for production environments. Being one of the most modern languages, Julia can be used to build entire applications and microservices.
Julia combines best features of dynamic languages like Python and R and low-level languages like C, C# and Java. You can develop a machine learning model or an algorithm in Julia and use that code in a production environment. You don’t have to use different languages for development and production.
New sections and lectures will be added every two or three weeks.