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8 Steps to Python for AI-Engaged Enterprise Developers
0
Python Basics for Machine Learning and AI
This article provides some tips for experienced programmers to get up to speed with the basics of Python.
Added 15 Jun 2020
1
Python Tuples, Lists, Destructuring, and Loops
Now that you know some of the basics of Python we can go a bit deeper, with the lists and tuples data structures and see how to work with them.
Added 15 Jun 2020
2
Python Generators and Classes
In this article we go a bit further with generators and classes.
Added 16 Jun 2020
3
Python AI and Machine Learning Libraries
In this article we can take a look at what libraries are available to work on AI and ML tasks.
Added 17 Jun 2020
4
Introduction to OpenCV
In this article let's get started hands-on with OpenCV.
Added 18 Jun 2020
5
Introduction to Natural Language Processing with NLTK
In this article we take a look at what you can do with the Natural Language Toolkit (NLTK).
Added 19 Jun 2020
6
Introduction to Keras
In this article, let’s dive into Keras, a high-level library for neural networks.
Added 22 Jun 2020
7
Introduction to NumPy, TensorFlow, and scikit-learn
In this article we take a quick look at NumPy and TensorFlow also do a short overview of the scikit-learn library.
Added 23 Jun 2020
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