Description
Deep Learning Prerequisites: The Numpy Stack in Python (V2+), is a training package for deep learning prerequisites in the Python programming language. These prerequisites include Numpy, Scipy, Pandas and Matplotlib modules, which this training course will teach you and prepare you for the development of deep and machine learning and artificial intelligence. Today, many people are trying to learn these concepts and technologies, but many of them stop continuing because they are not familiar with the necessary modules for this work. One of these modules is called Numpy. This module is the basis of everything else and is used to build arrays that are designed for change and speed, as a result, they can be used to build operational matrices such as their multiplication and addition.
The next module is called Pandas. This library is designed to create DataFrame (similar to R language), which is very useful for processing and managing a huge amount of information. With the help of this module, it is easy to do things like filtering, applying functions and combining. The Matplotlib module is used to draw various graphs such as linear and histograms, and the Scipy module is also used to calculate statistical characteristics. With the help of this module, you can calculate values such as PDF and CDF, take a sample from a distribution and perform statistical tests. Overall, if you want to enter the world of deep learning and artificial intelligence, mastering these modules is vital, this training package will equip you with commands, applications, functions and everything these modules have to offer. teaches .
What do you learn:
- Supervised machine learning such as classification and regression using real examples and Scikit-Learn
- How to use Numpy, Scipy, Matplotlib and Pandas to implement numerical algorithms
- How to implement Stack in Numpy
- Learning the differences and strengths and weaknesses of different machine learning models
- And …
This training is suitable for people who:
- People with little or no experience with Numpy who want to learn deep and machine learning later
- People who have tried machine learning or data science before but were unsuccessful
Specifications of Deep Learning Prerequisites: The Numpy Stack in Python (V2+):
- Publisher: Udemy
- teacher : Lazy Programmer Inc
- English language
- Education level: from elementary to advanced
- Number of courses: 51
- Duration: 6 hours and 8 minutes
Headlines
prerequisites
- Understand linear algebra and the Gaussian distribution
- Be comfortable with coding in Python
- You should already know “why” things like a dot product, matrix inversion, and Gaussian probability distributions are useful and what they can be used for
Images of Deep Learning Prerequisites: The Numpy Stack in Python (V2+)
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 1080p
Changes:
The version of 2020/11 has increased by at least 3 lessons and about half an hour compared to 2020/5.
The version of 2022/11 compared to 2020/11 has increased by 1 lesson and duration of 14 minutes. Also, the course quality has been increased from 720p to 1080p.
download link
Password file(s): www.downloadly.ir
Size
2.35 GB
Be the first to comment