Smith gary cordes jay (27 resultados)

Condición: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condición: New. pp. 272.

Condición: New. pp. 272.

Condición: New. pp. 272.

Condición: New. Brand New.

Hardcover. Condición: New. Estado de la sobrecubierta: New. First Edition. Dark blue hardback in brand-new condition: firm and square with bright gilt lettering. Complete with original dustjacket, neat and sharp, not showing any scuffs, tears or chips. Contents crisp, tight and clean; no pen-marks. Not from a library so no such stamps or labels. Looks and feels unread. Thus a very nice copy. …

Hardcover. Condición: As New. Estado de la sobrecubierta: As New. 1st Edition. This is an almost immaculate copy with no marks or inscriptions. Quite interesting too, proving that you can never trust a graph. Particularly on a Thursday. When it's raining.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: New. Estado de la sobrecubierta: New. First Edition. Dark blue hardback with gilt lettered spine, complete with original dustjacket. In new condition: firm and square with strong joints, no bumps, no rubs. Contents are crisp, tight and clean; no pen-marks. Thus a very nice copy that looks and feels unread, now offered for sale at a very reasonable price.…

Condición: New.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Hardcover. Condición: Brand New. 272 pages. 7.75x5.25x0.50 inches. In Stock.

Condición: New. The 9 Pitfalls of Data Science (Hardback or Cased Book).

Hardback. Condición: New. Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pitfalls of Data Science shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession. Gary Smith and Jay Cordes emphasise how scientific rigor and critical thinking skills are indispensable in this age of Big Data, as machines often find meaningless patterns that can lead to dangerous false conclusions. The ^9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures. These cautionary tales will not only help data scientists be more effective, but also help the public distinguish between good and bad data science.…

Condición: New.

Hardcover. Condición: Brand New. 272 pages. 7.75x5.00x0.75 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. In English.

Hardcover. Condición: Brand New. 272 pages. 7.75x5.25x0.50 inches. In Stock.

Condición: As New. Unread book in perfect condition.

Hardcover. Condición: Brand New. 272 pages. 7.75x5.00x0.75 inches. In Stock.

Gebunden. Condición: New. Patterns in data are often used as evidence, but how can you tell if that evidence is worth believing? The Phantom Pattern Problem helps readers avoid being duped by data, tricked into worthless investing strategies, or scared out of getting vaccinations. B.

Hardback. Condición: New. Data science has never had more influence on the world. Large companies are now seeing the benefit of employing data scientists to interpret the vast amounts of data that now exists. However, the field is so new and is evolving so rapidly that the analysis produced can be haphazard at best. The 9 Pitfalls of Data Science shows us real-world examples of what can go wrong. Written to be an entertaining read, this invaluable guide investigates the all too common mistakes of data scientists - who can be plagued by lazy thinking, whims, hunches, and prejudices - and indicates how they have been at the root of many disasters, including the Great Recession. Gary Smith and Jay Cordes emphasise how scientific rigor and critical thinking skills are indispensable in this age of Big Data, as machines often find meaningless patterns that can lead to dangerous false conclusions. The ^9 Pitfalls of Data Science is loaded with entertaining tales of both successful and misguided approaches to interpreting data, both grand successes and epic failures. These cautionary tales will not only help data scientists be more effective, but also help the public distinguish between good and bad data science.…