"Middlemarch" by George Eliot is a novel written in the mid-19th century that explores the lives and interactions of residents in a provincial English town. The story primarily centers around Dorothea Brooke, a young woman with high ideals and aspirations for a meaningful life, who grapples with her search for love and purpose amid societal expectations. The novel addresses themes of marriage, ambition, and the intersection of personal and social values in a rapidly changing world. At the start of the novel, we are introduced to Miss Brooke, who is depicted as a strikingly beautiful and intelligent young woman, yet may be seen as eccentric due to her lofty aspirations and disregard for societal norms. She lives with her sister Celia and their uncle, Mr. Brooke, in a quiet country house, harboring dreams of making a significant impact on the world. As the opening chapters unfold, we see her rejection of traditional feminine pursuits and her desire to be with a man of intellect who can match her aspirations. Important characters such as the learned Reverend Edward Casaubon and the kind Sir James Chettam emerge, each representing different paths and values that will challenge Dorothea in her quest for fulfillment. The complexities of their interactions are foreshadowed early on, setting the stage for a rich exploration of human relationships and personal growth. (This is an automatically generated summary.)
Python Machine Learning, Third Edition is a comprehensive guide to machine learning and deep learning with Python. It acts as both a step-by-step tutorial, and a reference you'll keep coming back to as you build your machine learning systems. Packed with clear explanations, visualizations, and working examples, the book covers all the essential machine learning techniques in depth. While some books teach you only to follow instructions, with this machine learning book, Raschka and Mirjalili teach the principles behind machine learning, allowing you to build models and applications for yourself. Updated for TensorFlow 2.0, this new third edition introduces readers to its new Keras API features, as well as the latest additions to scikit-learn. It's also expanded to cover cutting-edge reinforcement learning techniques based on deep learning, as well as an introduction to GANs. Finally, this book also explores a subfield of natural language processing (NLP) called sentiment analysis, helping you learn how to use machine learning algorithms to classify documents. This book is your companion to machine learning with Python, whether you're a Python developer new to machine learning or want to deepen your knowledge of the latest developments.