ler totalmente Machine Learning Algorithms: A Hands-On Approach with Python (English Edition)

This ebook, "Machine Learning Algorithms: A Hands-On Approach with Python," takes you on a comprehensive journey through the world of machine learning. Starting from the fundamentals, you learn about the basics of machine learning and set up your environment for experimentation. The book covers data preprocessing and feature engineering techniques to prepare your data for analysis.

You then dive into regression algorithms, including linear regression, polynomial regression, and regularized regression, to predict continuous values. Moving on to classification algorithms, you explore logistic regression, Naive Bayes, decision trees, random forests, and their applications in categorizing data.

The book also delves into clustering algorithms like k-means, hierarchical clustering, and density-based clustering, enabling you to identify patterns and groupings in your data. Dimensionality reduction techniques, such as PCA, LDA, and t-SNE, are discussed to help you reduce the dimensionality of your data while preserving important characteristics.

In the realm of neural networks and deep learning, you explore feedforward neural networks, convolutional neural networks (CNN), and recurrent neural networks (RNN), gaining insights into their architectures and applications.

Throughout the book, you learn about model evaluation and selection, hyperparameter tuning, and the importance of cross-validation. You also explore the concepts of overfitting and underfitting and learn techniques to mitigate these issues.

The ebook concludes with a chapter on model selection and comparison, highlighting the importance of choosing the most suitable model for a given task. It also offers insights into next steps for further learning, including expanding your knowledge, applying your skills to real-world projects, exploring specialized areas, contributing to the community, and continuing your education.

By the end of this ebook, you have acquired a solid understanding of various machine learning algorithms, their implementation in Python, and the techniques used to evaluate, select, and optimize models. You are equipped with the knowledge and skills to tackle real-world machine learning challenges and continue your journey in this exciting field.

Procurando Machine Learning Algorithms: A Hands-On Approach with Python (English Edition)? Aqui você encontra tudo sobre este livro de Shrikant Jadhav em 21 de maio de 2023. Nesta página estão a descrição da obra, os detalhes da edição (106 páginas) e os formatos disponíveis para baixar: pdf, epub, txt, djvu. Se você gosta de Inglês e Outras Línguas, Por Idioma, eBooks em inglês, Computação, internet e mídia digital, explore também outros títulos da mesma categoria no Encontrando os melhores livros. Veja ainda as outras obras de Shrikant Jadhav em nosso catálogo.