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Saghafian S: Insight-Driven Problem
Solving

Insight-Driven Problem Solving

Analytics Science to Improve the World

Encyclopedia of Optimization

The Science of Stuck: Breaking Through Inertia to Find Your Path Forward

Critical Approaches and Innovations in Language Teacher Education

This book explores the value and affordances of critical autoethnography, an established qualitative research methodology, for the construction of language teachers' professional identities. Bedrettin Yazan responds to calls in recent scholarship for the incorporation of practitioners in the construction of their own professional knowledge and identities, the use of narrative as a tool for knowledge generation and identity construction, and the integration of identity as an explicit goal in language teacher education practices. He showcases examples of teacher candidates' autoethnographic work from three different groups of language teacher candidates in two university-based teacher education programmes. Through the narration and analysis of the researchers' own stories, the author discusses the potential of autoethnographic activity for the reconceptualization of language teachers as active agents in their own professional learning. He also discusses how these methodological procedures might be enriched by collaboration with colleagues, by potentially writing collaborative autoethnographies.

Critical Autoethnography in Language Teacher Education

Application of Python in Healthcare Technology: Medical Data Analysis and Developing ML/AI Models provides comprehensive coverage of the Python programming language from a medical-based perspective. With a strong focus on utility-based learning rather than technical-based learning of Python, this title clarifies how the application of Python in the healthcare technology industry has a meaningful impact on patient care through the development of deep learning models for early prediction of diseases and the development of Clinical Decision Support System (CDS). In 13 chapters, an extensive range of topics pertaining to the intersection of Python and medical sciences is covered. Coverage defines how to set up an environment to work with python, describes Python class, methods, and functions, explains both basic and advanced statistical analysis in Python, and provides a tool to assist in the development of deep learning models such as API, Git, Github, NumPy, Pandas, and SciPy.

Medical Data Analysis and Developing ML/AI Models

Application of Python in the Healthcare Technology

Cut through the hype with this essential guide for any business professional looking to improve their organization's efficiency through technology.

Use Technology to Improve Your Business

The Practical Guide to Digital Transformation

A Guide to Qualitative Methodologies

Queer and Feminist Research

Best Practices for Scaling and Optimizing Apache Spark

High Performance Spark

Increase efficiency, improve profitability and reduce spend and become more confident handling and analyzing customer data for further insight.

Strategies for Accuracy and Efficiency

Optimizing Sales and Marketing Data

This timely and relevant guide for early career researchers was born out of the pandemic era as a series of talks initiated by Professor Andy Hor. As an experienced mentor of the leading research organization in Singapore, his wisdom and practical advice cover a broad range of essential topics, including grantsmanship, collaboration, lab setup, winning awards, building networks, and achieving impact.The lighthearted tone makes concepts easily digestible, with short, manageable sections. Interactive elements, such as the 'Food for thought' segments, encourage readers to reflect and apply the ideas discussed, enhancing their learning experience.Unlike traditional academic texts, this book offers a casual reading experience, yet remains a valuable resource not just for early career researchers but also for seasoned professionals seeking to refresh their approach and stay motivated. It is designed to be a supportive companion for researchers to help them navigate the complexities of achieving their scientific success and professional goals.

Kickstarter Guide To Research, A: Lunchtime Conversations With Andy

Ethnographic Methods has been a popular book with students and researchers. This new edition retains much of the quality of earlier ones with more detailed examples of methods in practice, and better coverage of digital, virtual and visual approaches. Ethnography is presented here as a reflexive, responsible, and relevant methodology.

Ethnographic Methods

The New Causal Macroeconomics of Surveys and Experiments

Expectations Matter

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Track Disinformation, Spot Bots, and Find Out What's Really Happening

Social Media Exposed

Insight-Driven Problem Solving

Informations bibliographiques

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Informations bibliographiques

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