Duration: 3h 32m | .MKV 1280x720, 24fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 1.62 GB
Genre: eLearning | Language: English
The Julia Programming Langauge is a sweetheart of the data science community. Everyone who has worked with it thinks it's going to be a big part of the future of data science and machine learning. The elegance of Julia when it comes to translating thoughts and models to code is brilliant.
Learn the core of Julia in this course and get up to speed with this next-generation language. We will start off with the basics of the language and then apply the concepts to data science and machine learning.
This is a concise course. We will get through the concepts quickly without getting bogged down with the basic concepts such as loops. We will discuss how these concepts are differently handled in Julia but concisely.
You will learn how to use Julia to do some data wrangling and then machine learning - including deep learning and neural networks. Finally, we will get to creating our own neural networks from scratch in Julia.
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