Prediction by the Numbers
(eVideo)
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Published
[Place of publication not identified] : PBS, [2018].
Format
eVideo
Language
English
Notes
General Note
Originally released by PBS, 2018.
General Note
Streaming video file encoded with permission for digital streaming by Infobase on January 29, 2019.
Description
Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and "big data," the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, Prediction by the Numbers explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don't understand how they arrive at them? And how far ahead can we really forecast?
Target Audience
9 - 12, Academic/AP
Language
Closed-captioned.
Local note
InfoBase Learning,Films on Demand: Master Academic Collection - US
Citations
APA Citation, 7th Edition (style guide)
(2018). Prediction by the Numbers . PBS.
Chicago / Turabian - Author Date Citation, 17th Edition (style guide)2018. Prediction By the Numbers. [Place of publication not identified]: PBS.
Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)Prediction By the Numbers [Place of publication not identified]: PBS, 2018.
Harvard Citation (style guide)(2018). Prediction by the numbers. [Place of publication not identified]: PBS.
MLA Citation, 9th Edition (style guide)Prediction By the Numbers PBS, 2018.
Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.
Staff View
Grouped Work ID
48d262e6-9a0d-ad16-80db-a6401b8c7050-eng
Grouping Information
| Grouped Work ID | 48d262e6-9a0d-ad16-80db-a6401b8c7050-eng |
|---|---|
| Full title | prediction by the numbers |
| Author | infobase |
| Grouping Category | movie |
| Last Update | 2024-08-18 07:54:41AM |
| Last Indexed | 2025-02-12 02:10:23AM |
Book Cover Information
| Image Source | default |
|---|---|
| First Loaded | Nov 1, 2024 |
| Last Used | Nov 1, 2024 |
Marc Record
| First Detected | Aug 13, 2024 02:34:59 PM |
|---|---|
| Last File Modification Time | Aug 13, 2024 02:34:59 PM |
MARC Record
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| 505 | 0 | 0 | |t Power of Prediction (5:03);|t History of Predictions (2:15);|t Chance and Percentage (4:09);|t History of Probability Theory (3:10);|t Weather Prediction (6:34);|t Making Accurate Predictions (6:11);|t 2016 Presidential Election (4:29);|t Possible Polling Errors (5:08);|t Baseball Statistics (3:12);|t Search and Rescue (6:28);|t Artificial Intelligence (5:19);|t Credits; Prediction by the Number (0:46); |
| 520 | |a Predictions underlie nearly every aspect of our lives, from sports, politics, and medical decisions to the morning commute. With the explosion of digital technology, the internet, and "big data," the science of forecasting is flourishing. But why do some predictions succeed spectacularly while others fail abysmally? And how can we find meaningful patterns amidst chaos and uncertainty? From the glitz of casinos and TV game shows to the life-and-death stakes of storm forecasts and the flaws of opinion polls that can swing an election, Prediction by the Numbers explores stories of statistics in action. Yet advances in machine learning and big data models that increasingly rule our lives are also posing big, disturbing questions. How much should we trust predictions made by algorithms when we don't understand how they arrive at them? And how far ahead can we really forecast? | ||
| 521 | 2 | |a 9 - 12, Academic/AP | |
| 546 | |a Closed-captioned. | ||
| 588 | |a Title from distributor's description | ||
| 590 | |a InfoBase Learning|b Films on Demand: Master Academic Collection - US | ||
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| 650 | 0 | |a Probabilities. | |
| 650 | 0 | |a Probability learning. | |
| 650 | 0 | |a Statistics. | |
| 650 | 6 | |a Mathématiques. | |
| 650 | 6 | |a Probabilités. | |
| 650 | 6 | |a Apprentissage de probabilités. | |
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