Board on mathematical sciences and their (45 Ergebnisse)

Paperback. Zustand: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Paperback. Zustand: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Fine.

Zustand: Fair. Acceptable condition. (Mathematics, Education, Teaching) A readable, intact copy that may have noticeable tears and wear to the spine. All pages of text are present, but they may include extensive notes and highlighting or be heavily stained. Includes reading copy only books.

Zustand: New. 162 pp., paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

Paperback. Zustand: As New. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDNear Fine.

Paperback. Zustand: As New. Prompt Shipment, shipped in Boxes, Tracking PROVIDEDfrom foundation library with blindstamp and pocket looks unused.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

paperback. Zustand: Very Good.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. 96 pp., paperback, new. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. Num Pages: 116 pages, illustrations. BIC Classification: PNRW; UY. Category: (P) Professional & Vocational. Dimension: 229 x 152 x 8. Weight in Grams: 249. . 2011. Paperback. . . . . Books ship from the US and Ireland.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. In English.

Zustand: New. 2015. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Zustand: Brand New. 114 pages. 9.61x6.81x0.31 inches. In Stock.

Zustand: New. In English.

Zustand: New. In English.

Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Zustand: New. "Board on Atmospheric Sciences and Climate, Climate Research Committee, Board on Mathematical Sciences and Their Applications, Committee on Applied and Theoretical Statistics, Space Studies Board, Committee on Earth Studies, Division on Earth and Life Studies, Division on Engineering and Physical Sciences, National Research Council." Editor(s): Weidman, Scott. Num Pages: 63 pages, colour illustrations, maps, figures. BIC Classification: RBP. Category: (P) Professional & Vocational. Dimension: 220 x 151 x 4. Weight in Grams: 126. . 2009. Paperback. . . . . Books ship from the US and Ireland.…

Taschenbuch. Zustand: Neu. Neuware - As the availability of high-throughput data-collection technologies, such as information-sensing mobile devices, remote sensing, internet log records, and wireless sensor networks has grown, science, engineering, and business have rapidly transitioned from striving to develop information from scant data to a situation in which the challenge is now that the amount of information exceeds a human's ability to examine, let alone absorb, it. Data sets are increasingly complex, and this potentially increases the problems associated with such concerns as missing information and other quality concerns, data heterogeneity, and differing data formats. The nation's ability to make use of data depends heavily on the availability of a workforce that is properly trained and ready to tackle high-need areas. Training students to be capable in exploiting big data requires experience with statistical analysis, machine learning, and computational infrastructure that permits the real problems associated with massive data to be revealed and, ultimately, addressed. Analysis of big data requires cross-disciplinary skills, including the ability to make modeling decisions while balancing trade-offs between optimization and approximation, all while being attentive to useful metrics and system robustness. To develop those skills in students, it is important to identify whom to teach, that is, the educational background, experience, and characteristics of a prospective data-science student; what to teach, that is, the technical and practical content that should be taught to the student; and how to teach, that is, the structure and organization of a data-science program. Training Students to Extract Value from Big Data summarizes a workshop convened in April 2014 by the National Research Council's Committee on Applied and Theoretical Statistics to explore how best to train students to use big data. The workshop explored the need for training and curricula and coursework that should be included. One impetus for the workshop was the current fragmented view of what is meant by analysis of big data, data analytics, or data science. New graduate programs are introduced regularly, and they have their own notions of what is meant by those terms and, most important, of what students need to know to be proficient in data-intensive work. This report provides a variety of perspectives about those elements and about their integration into courses and curricula.…

Zustand: New. 2015. Illustrated. paperback. . . . . . Books ship from the US and Ireland.