Julia Programming Language Next Gen Data Science and Machine Learning
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3:31:30
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01-the next gen language-julia.mp4
02:34
02-installing julia (windows linux and macos) .mp4
03:14
03-packages and interactive notebook.mp4
04:56
04-basic syntax variables and operations.mp4
11:15
05-control structures iterations and ranges.mp4
04:23
06-data structures in julia listsarrays tuples named tuples .mp4
09:49
07-dictionaries (maps) symbols in julia.mp4
03:47
08-arrays matrices tensors reshaping helper functions.mp4
16:07
09-data type details casting among types.mp4
02:53
10-defining functions overloading multiple-dispatch.mp4
12:19
11-anonymous functions (and their importance) splatting and slurping .mp4
09:43
12-functional programming broadcasting-most important concept in julia.mp4
11:05
13-interfacing with python and r.mp4
04:09
14-plotting basics-prettier julia plots.mp4
05:15
15-data wrangling reading csv files descriptive case study .mp4
14:08
16-further data manipulation apache arrow grouping and analysis.mp4
19:18
17-case study clustering for housingmap data.mp4
10:23
18-classification with decision treesrandom forests.mp4
09:54
19-writing a neural network from scratch in a few lines.mp4
16:04
20-multiple layers state-of-the-art in a few more lines .mp4
07:35
21-case study mnist modifying data for model avoiding pitfalls .mp4
14:14
22-mnist continued creating the deep model training and testing .mp4
09:02
23-saving and loading models exploring more options .mp4
05:38
24-where to go from here pointers for further learning .mp4
03:45
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- language english
- Training sessions 24
- duration 3:31:30
- Release Date 2024/03/07
