Suchergebnisse

Throughout this internship, I, Abhi Pasupula, have worked with my internship mentor, Barry Federici, in order to help him start up a new service. This service is targeted specifically towards veterans and their paths in their lives after they retire from the military. The service is split up into two categories, those being Jobs and Veteran Benefits. Jobs entailed creating and implement a job board into our website for retired veterans to search for. Veteran benefits showcase a list of benefits that veterans are eligible for, divided up by Federal Benefits, State Benefits, Local Benefits, and a page for all available benefits. For the Job Board page on the website, we got into contact with a job board service known as Hiring Opps and spent many days working through the features and seeing which features would serve us the best for the website. In addition, we set up a Sandbox so that we could physically see the service in action. The benefits required more menial work, such as compiling the list of total benefits and categorizing them into states with links that lead to the state Veteran Benefits commission for more information. Once organized, the benefits were organized into 4 sections, each section having its own page on the website. Both of these websites were connected back to the original website, which served as a homepage for all the services. The homepage also had services to meet with my mentor, Mr. Federici. Working on both of these websites and services really opened my eyes to the professional world of Software Development, where there was so much more apart from just programming. Similar to this internship, the real world will require me to be able to voice my thoughts as well as put them down on paper and be able to explain them well to others, something that I believe this internship set me up for very well. ; https://digitalcommons.imsa.edu/intern_reports_2021/1004/thumbnail.jpg

Cover -- Praise Page -- Title Page -- Copyright Page -- Contents -- Introduction -- Chapter 1: The Context -- Chapter 2: The Intruder -- Chapter 3: The Hidden Problem with Mentorship and Sponsorship -- Chapter 4: The DEI/ERG Positioning -- Chapter 5: The Black Superwoman Benchmark -- Chapter 6: The Impact of Inaction on Black Women -- Chapter 7: Impact Due to Scarcity -- Chapter 8: Challenges and Course Correction -- Chapter 9: The Crutch of Data and Requesting Self-identification -- Chapter 10: How to Create a Values-based Environment -- Chapter 11: Employers of the Future -- Chapter 12: Why the Advancement of Black Women Benefits Everyone -- Chapter 13: Making the Theoretical Practical -- Appendix: Further Thoughts -- Acknowledgements -- Index.

Learn how Artificial Intelligence (AI) is being applied in the fashion industry. With an application focused approach, this book provides real-world examples, breaks down technical jargon for non-technical readers, and provides an educational resource for fashion professionals. The book investigates the ways in which AI is impacting every part of the fashion value chain starting with product discovery and working backwards to manufacturing. Artificial Intelligence for Fashion walks you through concepts, such as connected retail, data mining, and artificially intelligent robotics. Each chapter contains an example of how AI is being applied in the fashion industry illustrated by one major technological theme. There are no equations, algorithms, or code. The technological explanations are cumulative so you'll discover more information about the inner workings of artificial intelligence in practical stages as the book progresses.

Intro -- Table of Contents -- About the Author -- Acknowledgments -- Preface -- Introduction -- Part I: Introduction -- Chapter 1: Basics of Artificial Intelligence -- Why Does AI Matter? -- What Is AI? -- Machine Learning -- What Is Intelligence? -- The Turing Test -- How Machines Learn -- What Is Learning? -- Machine Perception -- Language -- Topics in Artificial Intelligence -- Application Areas -- Natural Language Processing -- Computer Vision -- Predictive Analytics -- Robotics -- Tools and Techniques -- Neural Networks -- Generative Adversarial Networks -- Data Mining -- Summary -- Terminology from This Chapter -- Part II: Shopping and Product Discovery -- Chapter 2: Natural Language Processing and Conversational Shopping -- Natural Language Processing -- ELIZA -- Chatbots -- Specialized Chatbots -- Conversational Commerce -- Natural Language Queries -- Shopping and Messaging -- Personalized Shopping Experiences -- Bot-to-Bot Interaction -- Context-Based Decision Making -- Live Chat -- How Machines Read -- Tokenization -- Word Embeddings -- Skip Grams -- Part-of-Speech Tagging -- Named Entity Recognition -- Natural Language Understanding -- Sentiment Analysis -- Relation Extraction -- Summary -- Terminology from This Chapter -- Chapter 3: Computer Vision and Smart Mirrors -- Retail Meltdown -- Smart Mirrors -- Data Collection -- Social Sharing and Checkout -- Implementation -- Computer Vision -- Transformation -- Filtering -- Feature Extraction -- Edge Detection -- Object Detection -- Image Classification -- Beyond Static and 2D Images -- Summary -- Terminology from This Chapter -- Chapter 4: Neural Networks and Image Search -- Fashion Industry Images -- Image Search -- Image Tagging -- Reverse Image Search -- Visual Search -- Neural Networks -- Types of Neural Networks -- Feed-Forward Neural Networks -- Input Layer -- Hidden Layer.

From gay and lesbian political activism during the 1960s and 70s through the 1980s queer movement inspired by the AIDS crisis to the recent push towards normalization for same-sex couples via registered partnerships and adoption rights, LGBT issues have been moving steadily into the political and cultural mainstream of the German-speaking lands. A host of German LGBT culture has emerged in recent years, including films and literary works. Queerness has also taken hold within the academy of the German-speaking lands. The present volume includes contributions exploring the representation and reality of LGBT individuals and issues in historical and contemporary German-speaking culture. Leanne Dawson is Lecturer in German at the University of Edinburgh