Time Special Edition - The Science of Memory 2026

Time Special Edition - The Science of Memory 2026
Time Special Edition - The Science of English | 100 pages | True | 45.9 MB

Our memory is amazing. We're able to store some 2.5 petabytes of -about 300 million hours of television . But how do we make memories, and why do we forget? What's our memory like now, with our - brains, and what can we do to build a better memory? All of these questions are answered in The Science of Memory, this new special edition from the editors of TIME. You'll learn about the time-bending magic of smell, the myths of aging, and why sleeping is key for memory. Activate your left brain, learning about the five key areas that aid recollection-the hippocampus, amygdala, prefrontal cortex, olfactory bulb, and hypothalamus-and your right brain, exploring why a whiff from a local restaurant may transport you back to your grandmother's dining room. You'll also learn about eight unexpected things that mess with your memory, such as a high-fat diet and a vitamin B12 deficiency, as well as six funny things you can do to remember, such as chewing gum or using a funny font (Comic Sans, anyone?). Unlock the full potential of your mind with TIME: The Science of Memory.

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Working with Data in Public Health A Practical Pathway with R


Free Download Working with in Public Health: A Pathway with R by Peng Zhao
English | March 30, | ISBN: 9819901340 | 207 pages | MOBI | 24 Mb
This book provides a complete practical guide of data in public health with R language. On the basis of the author's research and teaching experiences, this book serves either as a textbook for undergraduates and graduates in public health or as a tutorial for self-learning. Many first-hand examples are presented with source data, R scripts, and graphs, as well as detailed explanations, which could be easily reproduced by readers so as to better understand the data processing principles and procedures. and R packages in public health are introduced as well.
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Ultimate AWS Data Engineering Design, Implement and Optimize Scalable Data Solutions on AWS


Free Download Ultimate Engineering: Design, Implement and Optimize Scalable Data Solutions on AWS with Workflows and Visual Aids for Unmatched Impact (English Edition) by Rathish Mohan, Shekhar Agrawal, Srinivasa Sunil Chippada
English | January 23, 2025 | ISBN: 9348107941 | 460 pages | MOBI | 43 Mb
Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success.
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Statistics and Data Analysis Essentials


Free Download Statistics and Analysis
English | 2025 | ASIN: B0DXWWFCBS | Pages not found | (True) | 7.00 MB
"Statistics and Data Analysis Essentials" is a guide that helps readers master statistical and their applications. Crafted by experts, this textbook combines clear explanations, real-world examples, and engaging exercises to enhance learning. We cover a broad spectrum of topics, including descriptive statistics, inferential statistics, regression analysis, and hypothesis testing, making each section accessible to learners of all levels. Real-life case studies from diverse fields such as economics, , , and engineering demonstrate the relevance of statistical . Each chapter offers exercises from basic calculations to complex data analysis tasks, helping readers and solidify their skills. A detailed glossary provides clear definitions of key statistical terms, and additional resources, including datasets and software tutorials, are available to further support the learning experience.
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Practical Livy for Distributed Data Applications


Free Download Livy for Distributed Applications: Definitive Reference for Developers and Engineers
English | 2025 | ASIN: B0FCXXHH2X | 257 pages | True | 2.9 MB
Practical Livy for Distributed Data Applications" is an guide for architects, data engineers, and developers seeking to the power of Apache Livy as a scalable interface for managing Spark clusters in complex distributed environments. The book opens with a exploration of Livy's foundational role in the Spark ecosystem, demystifying its architecture, session and batch execution , and its extensibility across multiple languages and approaches. Readers are equipped with clear comparisons to Spark interfaces, along with a nuanced understanding of best -and pitfalls-for leveraging Livy in both cloud-native and hybrid data architectures.
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