This course seamlessly connects data development, artificial intelligence, and data analysis, and will challenge you to earn an annual salary of 300,000 yuan. You will start learning Python from scratch, and the development environment uses the latest version of python3.10. From software downloads and IDE use, students can understand Python step by step, master Python basic syntax, master the specifications and techniques of code writing, and the ability to debug bugs, and use Python third-party libraries to make visual charts. The course + supporting exercises combine learning and practice to train students' ability to solve problems independently and draw inferences from one example. The class is lively and interesting, not boring.
Total of 164 lessons1 days and 7 hours and 30 minutes and 38 seconds
Machine learning algorithm basics
Total of 79 lessons20 hours and 14 minutes and 25 seconds
Artificial intelligence is the hottest technology today. All major manufacturers want to make their own artificial intelligence products, but the entry threshold for artificial intelligence is very high. It is not easy to quickly make artificial intelligence products. This course will introduce you to it. This open source robot language recognition framework allows everyone to quickly implement their own artificial intelligence products and implement customized functions such as speech recognition, semantic understanding, and speech output.
Total of 15 lessons3 hours and 1 minutes and 6 seconds
Content in the tutorial includes: * A quick introduction to Python 3 for experienced developers. * Create functions and objects * Use Python's built-in objects and classes * Use loops and iterations to loop through code * Understand and use conditional expressions * Use inheritance to create statements * Use objects and libraries to reuse code * Use exceptions to handle errors
Total of 86 lessons6 hours and 23 minutes and 42 seconds
(1) Understand machine learning and introduce classic algorithms by introducing the basic problems of machine learning (classification, clustering, regression, dimensionality reduction); (2) Python third-party library sklearn (scikit-learn), explain how to apply machine learning algorithms to quickly solve problems approach to practical problems.
Total of 27 lessons3 hours and 17 minutes and 52 seconds
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