Published on: 2024-05-25 04:14:57
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Machine Learning, Data Science and Generative AI with Python , name of the training video series in the field of machine learning, science, data, and deep learning with Python can be. Period, you as a comprehensive course for the complete training of machine learning with knowledge, data, etc. Tensorflow, etc., artificial intelligence, and neural networks can be. You are viewing the course video to be able to build artificial neural networks with Tensorflow and Keras, you will. On the other hand, you’ll learn to deep learning, etc. images. data automatically, and with the use of artificial intelligence classification, the.
Set before you also give you the techniques and skills quite practical will teach. You, as well as a thorough classification of data using K-Means to learn. Also training, this collection somehow have been prepared that you view and analyze it to understand the very desirable from a machine learning (Machine Learning) hands you’ll find.
You’re students, dear, with, view and learn the concepts, skills and techniques available in the training set by machine learning from scratch will be familiar. Also, you complete with the application of the training provided in the training set will be familiar. Also, you, the students respected, for finishing the course, video, etc. 91 the meeting Training Video On Your have.
After the Extract with the Player your custom view.
The previous title of this tutorial, Data Science, Deep Learning & Machine Learning with Python has been.
Subtitle: English
Quality: 720p
Changes:
Version 2021/1 compared to 2020/5 change in the number of courses and didn’t have the time, but due to the passage of more than 6 months from the previous update, etc. is updated.
Version 2021/2 compared to 2021/1 about 6 hours Rise Time and about 2 GB of increasing size have been.
Version 2022/9 compared to 2021/2 has increased the number of 5 lessons and the duration of 1 hours and 16 minutes.
Version 2024/4 compared to 2022/9 has increased the number of 23 lessons and the duration of 3 hours and 13 minutes. Also, the Quality of the course has decreased from 1080p to 720p.
7.42 GB
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