Search Results - do NOT adjust (your OR you) set*

Trade Unions on YouTube Online Revitalization in Sweden / by Jansson, Jenny, Uba, Katrin

Table of Contents: “…Introduction -- 2. Audiences: Who Do Unions Target? -- 3. Messages: Political Action - Agenda-Setting, Elections and Protest -- 4. …”
Full-text access
View in OPAC

Reading / by Davis, Philip (Philip Maurice), Magee, Fiona

Table of Contents: “…-- Against 'Professionalism' -- In Favour of the Practical -- Starting Up -- Getting In -- Staying In -- Breaking Through -- It's Not Over -- Contexts for the Delivery of Shared Reading -- Family Home -- Care Homes -- Health Care Settings -- Prisons and Secure Settings -- Notes -- 6: What are the Challenges and How to Overcome Them? …”
Full-text access
View in OPAC

From Bench to Boardroom The R&D Leader's Guide / by Spiro, Clifford L.

Full-text access
View in OPAC

Accessible instructional design

Full-text access
View in OPAC

Adolescent experiences and adult work outcomes

Full-text access
View in OPAC

Designing Machine Learning Systems. by Huyen, Chip

Table of Contents: “…Infrastructure and Tooling for MLOps -- Storage and Compute -- Public Cloud Versus Private Data Centers -- Development Environment -- Dev Environment Setup -- Standardizing Dev Environments -- From Dev to Prod: Containers -- Resource Management -- Cron, Schedulers, and Orchestrators -- Data Science Workflow Management -- ML Platform -- Model Deployment -- Model Store -- Feature Store -- Build Versus Buy -- Summary -- Chapter 11. …”
Full-text access
View in OPAC

Deep Learning with Python, Second Edition. by Chollet, Francois

Table of Contents: “…-- 3.3 Keras and TensorFlow: A brief history -- 3.4 Setting up a deep learning workspace -- 3.4.1 Jupyter notebooks: The preferred way to run deep learning experiments -- 3.4.2 Using Colaboratory -- 3.5 First steps with TensorFlow -- 3.5.1 Constant tensors and variables -- 3.5.2 Tensor operations: Doing math in TensorFlow -- 3.5.3 A second look at the GradientTape API -- 3.5.4 An end-to-end example: A linear classifier in pure TensorFlow -- 3.6 Anatomy of a neural network: Understanding core Keras APIs -- 3.6.1 Layers: The building blocks of deep learning -- 3.6.2 From layers to models -- 3.6.3 The "compile" step: Configuring the learning process -- 3.6.4 Picking a loss function -- 3.6.5 Understanding the fit() method -- 3.6.6 Monitoring loss and metrics on validation data -- 3.6.7 Inference: Using a model after training -- Summary -- 4 Getting started with neural networks: Classification and regression -- 4.1 Classifying movie reviews: A binary classification example -- 4.1.1 The IMDB dataset -- 4.1.2 Preparing the data -- 4.1.3 Building your model -- 4.1.4 Validating your approach.…”
Full-text access
View in OPAC

Transforming virtual world learning

Full-text access
View in OPAC

Disputes in everyday life social and moral orders of children and young people /

Full-text access
View in OPAC

Gender and race matter global perspectives on being a woman.

Full-text access
View in OPAC

Identifying leaders for urban charter, autonomous and independent schools above and beyond the standards /

Full-text access
View in OPAC

Generative AI with LangChain : Build Large Language Model (LLM) Apps with Python, ChatGPT, and Other LLMs. by Auffarth, Ben

Table of Contents: “…-- Comparing LangChain with other frameworks -- Summary -- Questions -- Chapter 3: Getting Started with LangChain -- How to set up the dependencies for this book -- pip -- Poetry -- Conda -- Docker -- Exploring API model integrations -- Fake LLM -- OpenAI -- Hugging Face -- Google Cloud Platform -- Jina AI -- Replicate -- Others -- Azure -- Anthropic -- Exploring local models -- Hugging Face Transformers -- llama.cpp -- GPT4All -- Building an application for customer service -- Summary -- Questions -- Chapter 4: Building Capable Assistants -- Mitigating hallucinations through fact-checking -- Summarizing information -- Basic prompting -- Prompt templates -- Chain of density -- Map-Reduce pipelines -- Monitoring token usage -- Extracting information from documents -- Answering questions with tools -- Information retrieval with tools -- Building a visual interface -- Exploring reasoning strategies -- Summary -- Questions -- Chapter 5: Building a Chatbot like ChatGPT -- What is a chatbot? …”
Full-text access
View in OPAC

Video research in disciplinary literacies

Table of Contents: “…Johnson, Burke Scarbrough -- Growing in the disciplinary literacy of writing: videotaped peer talk and reflection in a sixth-grade classroom / Karen Kreider Yoder -- Affordances of digital video editing among prospective English and science teachers / David Bruce, Randy Yerrick, Michael Radosta, Chris Shively -- Exploring the use of video coding in literacy and English teacher preparation / Seth A. Parsons, Audra K. Parker, Kristien Zenkov, Christine Degregory, Laurel Taylor, Daniel Kye, Summer Haury -- How do I know what I think until I see what I produce in my video?…”
Full-text access
View in OPAC

Proceedings of the Sixth International Conference on Green and Human Information Technology ICGHIT 2018 /

Table of Contents: “…Development of DC Smart Plug Control System (by Narakorn Songkittirote, Worajit Setthapun, Kobsak Sriprapha and Hathaithip Ninsonti) -- 26. …”
Full-text access
View in OPAC

Qualitative urban analysis an international perspective /

Full-text access
View in OPAC

Innovation in Language Teaching and Learning The Case of Japan /

Full-text access
View in OPAC