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28 gru 2023 · The collection of 25 free books provides a wealth of knowledge on essential data skills such as SQL, Python, data science, machine learning, and natural language processing. With the help of practical examples and code snippets, you can gain hands-on experience and apply what you learn to build your own applications.
you’ll learn: • What SQL, Python, and machine learning do. • How these powerful technologies help solve real-world challenges. • What types of job roles leverage SQL, Python, and machine learning. • Why you and your organization need to be data literate in order to stay competitive. • How to forge a path by learning these skills.
19 lip 2023 · You'll learn the steps necessary to create a successful machine-learning application with Python and the scikit-learn library. Authors Andreas Muller and Sarah Guido focus on the practical aspects of using machine learning algorithms, rather than the math behind them.
[ML] Introduction to Machine Learning with Python (2017).pdf. Cannot retrieve latest commit at this time. History. 31.6 MB. Repository for Machine Learning resources, frameworks, and projects. Managed by the DLSU Machine Learning Group.
You can find all the books listed below in book folder of this repo: A Course in Machine Learning [Download] Advanced Machine Learning with Python [Download] Big Data, Data Mining, and Machine Learning [Download] Building Intelligent Systems - A Guide to Machine Learning Engineering [Download]
11 lip 2023 · This textbook presents the theory and Python implementation of the most essential elements and techniques in machine learning, supplemented by exercises.
Hands-on Machine Learning with Python: Implement Neural Network Solutions with Scikit-learn and PyTorch. Ashwin Pajankar Nashik, Maharashtra, India. Aditya Joshi Haldwani, Uttarakhand, India. ISBN-13 (pbk): 978-1-4842-7920-5 ISBN-13 (electronic): 978-1-4842-7921-2. https://doi.org/10.1007/978-1-4842-7921-2.
