Catalog Search Results
Author
Accelerated Reader
IL: MG - BL: 5.2 - AR Pts: 8
Language
English
Description
"Mason and Ty were once the very best of friends, like two nerdy sides of the same coin . . . until seventh grade, when Ava Petrakis came along. Now Mason can trace everything bad in his life to that terrible fight they had over the new girl. The one thing he'd give anything for is a do-over. But that can't happen in real life--can it? As a science kid, Mason knows do-overs are impossible, so he can't believe it when he wakes up from a freak accident...
2) The do-over
Author
Accelerated Reader
IL: UG - BL: 5.4 - AR Pts: 11
Language
English
Formats
Description
Sixteen-year-old Emilie, stuck in a cosmic Groundhog/Valentine's Day nightmare where she discovers her family is splitting up and her boyfriend is cheating on her, decides to embark upon The Day of No Consequences, but when her repetitive day suddenly ends, she must face the consequences of her actions.
After a dumpster fire of a Valentine's Day, Emilie Hornby escapes to her grandmother's house for some comfort. She passes out on the couch, but when...
Author
Series
Harlequin special edition volume 2211
Publisher
Harlequin
Pub. Date
2012.
Language
English
Publisher
Kanopy Streaming
Pub. Date
2014.
Language
English
Description
The math is simple: the fossil fuel industry has five times the amount of coal, gas and oil that even the most conservative governments know is safe to burn. Left to their own devices, they’ll push us past the brink of cataclysmic disaster and life as we know it will be irrevocably altered forever - unless we rise up and fight back. In November 2012, best-selling author and environmental activist Bill McKibben and 350.org -- the organization he...
Publisher
The Great Courses
Pub. Date
2020.
Language
English
Description
No one deliberately taught you how to speak. After hearing and processing millions of words over many months (and with a brain that is wired for speech) you started talking. Dive into the world of machine learning to discover whether or not machines can teach themselves, the way we do, and what the implications might be both for machines and for ourselves.
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