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Tabla de Contenidos: “…-- Computer vision is everywhere -- Getting started -- Reading an image -- Image color conversions -- Computer vision research conferences -- Summary -- Chapter 2: Libraries, Development Platform, and Datasets -- Libraries and installation -- Installing Anaconda -- NumPy -- SciPy -- Jupyter notebook -- Installing OpenCV -- OpenCV Anaconda installation -- OpenCV build from source -- Opencv FAQs -- TensorFlow for deep learning -- Keras for deep learning -- Datasets -- ImageNet -- MNIST -- CIFAR-10 -- Pascal VOC -- MSCOCO -- TUM RGB-D dataset -- Summary -- References -- Chapter 3: Image Filtering and Transformations in OpenCV -- Datasets and libraries required -- Image manipulation -- Introduction to filters -- Linear filters -- 2D linear filters -- Box filters -- Properties of linear filters -- Non-linear filters -- Smoothing a photo -- Histogram equalization -- Median filter -- Image gradients -- Transformation of an image -- Translation -- Rotation -- Affine transform -- Image pyramids -- Summary -- Chapter 4: What is a Feature? …”

Texto completo en Odilo

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Tabla de Contenidos: “…Introduction -- Part 1 Theoretical and conceptual approaches to ethics in antimicrobial resistance -- Chapter 1 The practical ethics of antimicrobial resistance as a collective action problem (Julian Savulescu) -- Chapter 2 Collective responsibility for antimicrobial resistance (Angus Dawson) -- Chapter 3 Moral aspects of antimicrobial stewardship (Marcel Verweij) -- Chapter 4 Ethical frameworks for rational antibiotic use (Annette Rid, Jasper Littmann, Alena Buyx) -- Chapter 5 The virtuous physician as antimicrobial prescriber (Justin Oakley) -- Chapter 6 Solidarity and compliance with antimicrobial policy (Søren Holm, Thomas Ploug) -- Chapter 7 Resistance, inequality, and epidemiological transition (Lynette Reid) -- Chapter 8 The price of precaution (Joakim Larsson, Christian Munthe) -- Part 2 Ethics and antimicrobial resistance in context -- Chapter 9 Hospital acquired infection (Lyn Gilbert & Ian Kerridge) -- Chapter 10 Antibiotic use in childhood (Michael Millar) -- Chapter 11 Ethics, animals, public goods (Jonny Anomaly) -- Chapter 12 Malaria (PY Cheah& Mike Parker) -- Chapter 13 Resistant HIV (Bridget Haire) -- Chapter 14 Access & availability of new TB drugs (Diego Silva, Adrian Viens, Jasper Littmann) -- Chapter 15 TB Resistance and Human rights (Leslie London) -- Chapter 16 TB Resistance in developing countries (Richard Coker, Marco Liverani, Mishal Khan) -- Chapter 17 Animal Epidemiology (Lisa Boden & Dominic Mellor) -- Part 3 Ethical, legal and economic aspects of antimicrobial resistance -- Chapter 18 Privacy and data collection(Leslie Francis) -- Chapter 19 Mandatory treatment interventions (Carl Coleman) -- Chapter 20 Ethics and AMR Regulation (Belinda Bennett) -- Chapter 21 Ethics of Drug Development (Nick King) -- Chapter 22 Economics of resistance (Coast/Smith) -- Conclusion…”

Tabla de Contenidos: “…Chapter 8: Magic Words, Templates, and SkinsMagic Words; Templates; User Interface; Summary; Chapter 9: Extensions; MediaWiki Hooks; XML Tag Extensions; Parser Functions; Parser Functions with Messages; Hook Extensions; Special Pages; Summary; Chapter 10: The MediaWiki API; Bots: pywikipedia.py; API.php; Summary; Chapter 11: Wiki Performance; Wikipedia Architecture; Caching; Improving Performance; Maintenance Scripts; Summary; Index…”

“…"Discover powerful ways to effectively solve real-world machine learning problems using key libraries including scikit-learn, TensorFlow, and PyTorch Key Features Learn and implement machine learning algorithms in a variety of real-life scenarios Cover a range of tasks catering to supervised, unsupervised and reinforcement learning techniques Find easy-to-follow code solutions for tackling common and not-so-common challenges Book Description This eagerly anticipated second edition of the popular Python Machine Learning Cookbook will enable you to adopt a fresh approach to dealing with real-world machine learning and deep learning tasks. …”

“…This fine book shows you how to build fun, cool arcade games using the Python programming language and the PyGame framework, a Python-based game application development engine. …”

“…Featuring graphs and highlighted code examples throughout, the book features tests with Python’s Numpy, Pandas, Scikit-Learn, and SciPy data science libraries. If you’re a software engineer or business analyst interested in data science, this book will help you: Reference real-world examples to test each algorithm through engaging, hands-on exercises Apply test-driven development (TDD) to write and run tests before you start coding Explore techniques for improving your machine-learning models with data extraction and feature development Watch out for the risks of machine learning, such as underfitting or overfitting data Work with K-Nearest Neighbors, neural networks, clustering, and other algorithms…”

“…The last section explains how to develop a game by installing PyGame and how to use basic animation, and concludes with coverage of Python web development with web servers and Python web frameworks. …”

“…They teach you how to effectively implement ensemble concepts such as stacking and boosting and to utilize popular libraries such as Keras, Scikit Learn, TensorFlow, PyTorch, and Microsoft LightGBM. Tips are presented to apply ensemble learning in different data science problems, including time series data, imaging data, and NLP. …”

“…Wenn Sie zusätzlich mit den Bibliotheken NumPy und matplotlib vertraut sind, hilft Ihnen dies, noch mehr aus diesem Buch herauszuholen…”

Tabla de Contenidos: “…-- Python Installation -- Python IDEs -- PyCharm -- Spyder -- Jupyter Notebook -- Python Programming with IDLE -- Python Comments -- Python Data Types -- Numeric Data Types -- int -- float -- complex -- bool -- Numeric Operators -- Sequence Data Types -- list -- tuple -- str -- set -- dict -- Type Conversion -- Control Flow Statements -- if Statement -- if-else Statement -- if...elif...else statement -- while loop -- for loop -- Exception Handling -- Functions -- Python Libraries for Data Science -- NumPy and SciPy for Scientific Computation -- Scikit-Learn for Machine Learning -- Pandas for Data Analysis -- TensorFlow for Machine Learning -- Chapter 3: Introduction to the Raspberry Pi -- What Can You Do with the Raspberry Pi? …”

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Tabla de Contenidos: “…Repudiation -- Information disclosure - confidentiality -- Denial of service - availability -- Elevation of privilege - authorization -- Test strategies -- Summary -- Chapter 8: Source Code Review -- Programming background -- Enterprise secure coding guidelines -- Static code analysis - manual scan versus automatic scan -- Secure coding checklist -- Summary -- Chapter 9: Network Penetration Testing -- Passive information gathering - reconnaissance - OSINT -- Web search engines -- Google Hacking Database - Google dorks -- Online tools -- Kali Linux tools -- WHOIS lookup -- Domain name system - DNS enumeration -- Gathering email addresses -- Active information gathering - services enumeration -- Identifying live hosts -- Identifying open ports/services -- Service probing and enumeration -- Vulnerability assessment -- OpenVas -- Exploitation -- Finding exploits -- Listener setup -- Generating a shell payload using msfvenom -- Custom shells -- Privilege escalation -- File transfers -- Using PowerShell -- Using VBScript -- Administrator or root -- Summary -- Chapter 10: Web Intrusion Tests -- Web Intrusion Test workflow -- Identifying hidden contents -- Common web page checklist -- Special pages checklist -- Reporting -- Common Vulnerability Scoring System - CVSS -- First case - SQLi -- Second case - Reflected XSS -- Report template -- Summary -- Chapter 11: Pentest Automation Using Python -- Python IDE -- Downloading and installing PyCharm -- PyCharm quick overview -- Penetration testing automation -- Automate.py in action -- Utility functions -- Service enumeration -- DTO service class -- The scanner core -- Summary -- Appendix A: Nmap Cheat Sheet -- Target specification -- Host discovery -- Scan types and service versions -- Port specification and scan order -- Script scan -- Timing and performance -- Firewall/IDS evasion and spoofing -- Output…”

Texto completo en Odilo

Texto completo en Odilo

Texto completo en Odilo