Python Data Science Handbook

當數據科學家使用Python處理數據，並希望創建展示ML模型的數據應用程序，以及進行易於創建的交互式可視化時，那麼Streamlit將是最理想的選擇。Streamlit for Data Science(第2版)向數據科學家展示了如何在Python內快速創建和部署小部件和儀錶板。這可以幫助他們在幾小時內而不是幾天內創建原型。 為了掌握Streamlit這項技術，需要通過大量的實際案例來學習。本書由一個富有創造力的Streamlit用戶編寫，他在第一版發佈後就一直使用該技術，本選題建立在前一版的實用性基礎上，帶來大量的更新，包括將Streamlit連接到Snowflake數據倉庫，部署在Hugging Face上，以及在GitHub上提供完全更新的代碼庫，通過這些內容可以幫助讀者練習新發佈的技能。 讀者將從Streamlit的基礎知識開始Streamlit的學習，並通過使用機器學習模型和製作高質量的交互式應用程序逐漸熟悉Streamlit的使用技巧。本書通過實際示例幫讀者掌握許多更具挑戰性的主題，如Streamlit組件、美化應用程序和快速部署。 通過本書，讀者將能夠輕鬆快速地在Streamlit中創建動態web應用程序。

Handbook of Computational Intelligence in Biomedical Engineering and Healthcare helps readers analyze and conduct advanced research in specialty healthcare applications surrounding oncology, genomics and genetic data, ontologies construction, bio-memetic systems, biomedical electronics, protein structure prediction, and biomedical data analysis. The book provides the reader with a comprehensive guide to advanced computational intelligence, spanning deep learning, fuzzy logic, connectionist systems, evolutionary computation, cellular automata, self-organizing systems, soft computing, and hybrid intelligent systems in biomedical and healthcare applications. Sections focus on important biomedical engineering applications, including biosensors, enzyme immobilization techniques, immuno-assays, and nanomaterials for biosensors and other biomedical techniques.Other sections cover gene-based solutions and applications through computational intelligence techniques and the impact of nonlinear/un

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic

This book integrates philosophy of science, data acquisition methods, and statistical modeling techniques to present readers with a forward-thinking perspective on clinical science. It reviews modern research practices in clinical psychology that support the goals of psychological science, study designs that promote good research, and quantitative methods that can test specific scientific questions. It covers new themes in research including intensive longitudinal designs, neurobiology, developmental psychopathology, and advanced computational methods such as machine learning. Core chapters examine significant statistical topics, for example missing data, causality, meta-analysis, latent variable analysis, and dyadic data analysis. A balanced overview of observational and experimental designs is also supplied, including preclinical research and intervention science. This is a foundational resource that supports the methodological training of the current and future generations of clinic

從事資料科學方面的工作時，活用各種相關函式庫、軟體框架、模組、工具包是很好的做法，但如果原本完全不懂資料科學，從頭開始也是一種不錯的做法。本書將採取土法煉鋼從頭學起的方式，帶領讀者認識與資料科學相關的許多工具與演算法。你只要具備基本的數學能力，以及程式設計的基礎，本書就可以幫你在遇到相關的數學與統計知識時，不至於感到害怕，而且還能讓你學會一個資料科學家所需具備的相關駭客技術。如今到處充斥著各種雜亂

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"This book explores the various methods for inventory control and management using optimization techniques, data mining concepts and genetic algorithms. It explores how inventory control and managemen

Developments in the areas of biology and bioinformatics are continuously evolving and creating a plethora of data that needs to be analyzed and decrypted. Since it can be difficult to decipher the mul

The 22 papers in this collection explore simulation theory, Petri nets, Monte Carlo, visualization, real-time simulation, and applications to neural networks, data mining, wireless networks, banks, an

This book provides an excellent reference guide to basic theoretical arguments, practical quantitative techniques and the methodologies that the majority of social science researchers are likely to re