Explanation
Julia Programming Language – Next Gen Data Science and Machine Learning, The Julia Programming Language is the heart of the data science community. Everyone who has worked with it thinks it will be a big part of the future of data science and machine learning. Julia’s beauty when it comes to translating ideas and models to code is amazing. Learn the core of Julia in this course and get up to speed with this next-generation language. We will start with the basics of the language and then apply concepts from data science and machine learning.
This is a short course. We’ll go through the concepts quickly without getting bogged down in basic concepts like circles. We will discuss how to handle these ideas differently than Julia but briefly. You will learn how to use Julia to do some data crunching and then machine learning – including deep learning and neural networks. Finally, we will get to create neural networks from Julia. See attached file. It has all the materials we will use in the course. Your end of course project will build a neural network using the Flux library we discuss in class. You can use a neural network for any type of problem: natural language processing, computer vision, classification, or anything else you might be interested in.
What will you learn?
- basic syntax variables and operations
- Control structure of repetition and variation
- data structures in julia listsarrays tuples
- named tuples
- dictionaries (maps) julia signs
- processes Tenors matrices for reshaping auxiliary functions
- data type of casting details among the types
- defining Excessive sending of many tasks
- secret The functions (and their importance) of apples and apples
- working broadcasting programs – the main idea of julia
- interface with Python and r
- conspiracy foundation-sites beautiful julia
- data random reading of csv files for descriptive case studies
- extra apache data manipulation clustering and analysis
Specification of Julia Programming Language – Next Gen Data Science and Machine Learning
- Publisher: skillshare
- Teacher: Mohamed Nauman
- Language : English
- Level : All Levels
- Number of courses: 24
- Duration : 3 hours and 32 minutes
Julia Programming Language Essentials – Next Gen Data Science and Machine Learning
Pictures
Sample Clip
Installation Guide
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Subtitle : English
Quality: 720p
Download Links
Password file: free download software
file size
1.59 GB