If you are a software developer who wants to learn how machine learning models work and how to apply them effectively, this book is for you. Familiarity with machine learning fundamentals and Python will be helpful, but is not essential.
Mastering Machine Learning with scikit-learn
β Scribed by Gavin Hackeling
- Publisher
- Packt Publishing
- Year
- 2014
- Tongue
- English
- Leaves
- 238
- Category
- Library
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
Unlock the full potential of machine learning with "Machine Learning," your essential guide to conquering the cutting-edge tools that are reshaping the landscape of data science and artificial intelligence. Whether you're a student, a data science professional, or simply a tech enthusiast eager to d
Key Features β’ Master popular machine learning models including k-nearest neighbors, random forests, logistic regression, k-means, naive Bayes, and artificial neural networks β’ Learn how to build and evaluate performance of efficient models using scikit-learn β’ Practical guide to master your basi
Apply effective learning algorithms to real-world problems using scikit-learnAbout This Book Design and troubleshoot machine learning systems for common tasks including regression, classification, and clustering Acquaint yourself with popular machine learning algorithms, including decision trees, lo