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Take Five! for Science transforms those first five minutes of class into engaging writing opportunities. Students will brainstorm their way through 75 topics within three main science divisions: earth, life, and physical science. All prompts are aligned with NGSS and ELA CCSS as students debate, compare, investigate, question, and design in response to 150 prompts. Whether your students are working to save endangered ecosystems, investigating distant constellations, creating unusual animals, or constructing a design solution, these diverse and creative prompts will have students looking forward to each day when they're asked to "Take Five!" for Science. Begin every day of the school year with a burst of writing in the science discipline with this comprehensive and fun resource. Ready? Set? Take Five!
Features reproducible intellectually stimulating activities that promote learning, reinforce what has been covered, sparks students' interest and takes only a few minutes to use.
Presents lessons on using an almanac.
Presents lessons on using an almanac.
Create a vibrant writing classroom! Take 5! for Language Arts: Writing that builds critical-thinking skills supports K-2 students who are just beginning to grasp the elements of writing. This resource will help you introduce students to the writing process through mini-lessons and daily writing prompts. Writing prompts support writing and drawing exercises in engaging ways that relate to content and are within the framework of college and career readiness standards. They also provide support on the different writing purposes: informative, opinion, narrative, and descriptive writing. This resource is filled with diverse prompts that will have students looking forward to the part of the day when they're asked to "Take 5!" for language arts. Each ready-to-use prompt includes corresponding standards, supply lists, language arts links, teacher tips, assessment options, rubrics, digital connections and resources, and opportunities for teacher-modeled writing and independent writing activities. Begin every day of the school year with a burst of critical thinking and fun with this comprehensive resource. Ready? Set? Take 5!
Simplify data science infrastructure to give data scientists an efficient path from prototype to production. In Effective Data Science Infrastructure you will learn how to: Design data science infrastructure that boosts productivity Handle compute and orchestration in the cloud Deploy machine learning to production Monitor and manage performance and results Combine cloud-based tools into a cohesive data science environment Develop reproducible data science projects using Metaflow, Conda, and Docker Architect complex applications for multiple teams and large datasets Customize and grow data science infrastructure Effective Data Science Infrastructure: How to make data scientists more productive is a hands-on guide to assembling infrastructure for data science and machine learning applications. It reveals the processes used at Netflix and other data-driven companies to manage their cutting edge data infrastructure. In it, you’ll master scalable techniques for data storage, computation, experiment tracking, and orchestration that are relevant to companies of all shapes and sizes. You’ll learn how you can make data scientists more productive with your existing cloud infrastructure, a stack of open source software, and idiomatic Python. The author is donating proceeds from this book to charities that support women and underrepresented groups in data science. About the technology Growing data science projects from prototype to production requires reliable infrastructure. Using the powerful new techniques and tooling in this book, you can stand up an infrastructure stack that will scale with any organization, from startups to the largest enterprises. About the book Effective Data Science Infrastructure teaches you to build data pipelines and project workflows that will supercharge data scientists and their projects. Based on state-of-the-art tools and concepts that power data operations of Netflix, this book introduces a customizable cloud-based approach to model development and MLOps that you can easily adapt to your company’s specific needs. As you roll out these practical processes, your teams will produce better and faster results when applying data science and machine learning to a wide array of business problems. What's inside Handle compute and orchestration in the cloud Combine cloud-based tools into a cohesive data science environment Develop reproducible data science projects using Metaflow, AWS, and the Python data ecosystem Architect complex applications that require large datasets and models, and a team of data scientists About the reader For infrastructure engineers and engineering-minded data scientists who are familiar with Python. About the author At Netflix, Ville Tuulos designed and built Metaflow, a full-stack framework for data science. Currently, he is the CEO of a startup focusing on data science infrastructure. Table of Contents 1 Introducing data science infrastructure 2 The toolchain of data science 3 Introducing Metaflow 4 Scaling with the compute layer 5 Practicing scalability and performance 6 Going to production 7 Processing data 8 Using and operating models 9 Machine learning with the full stack
Reprint of the original, first published in 1872. The publishing house Anatiposi publishes historical books as reprints. Due to their age, these books may have missing pages or inferior quality. Our aim is to preserve these books and make them available to the public so that they do not get lost.
"The Encyclopedia of Library and Information Science provides an outstanding resource in 33 published volumes with 2 helpful indexes. This thorough reference set--written by 1300 eminent, international experts--offers librarians, information/computer scientists, bibliographers, documentalists, systems analysts, and students, convenient access to the techniques and tools of both library and information science. Impeccably researched, cross referenced, alphabetized by subject, and generously illustrated, the Encyclopedia of Library and Information Science integrates the essential theoretical and practical information accumulating in this rapidly growing field."