Lijing Wang (44 results)

paperback. Condition: Very Good. In stock ready to dispatch from the UK.

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

Paperback. Condition: Like New. First Edition. In nearly new condition: firm and square with strong joints, no creases. Just a few hardly noticeable rubs or very mild bumps. Hence a non-text page shows a small 'damaged' stamp. Despite such this book looks and feels unread. Thus the contents are crisp, fresh and tight. And so a very nice book in great condition, now offered for sale at a reasonable price.…

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New. New edition NO-PA16APR2015-KAP.

Condition: New.

Condition: New.

Paperback. Condition: new. Paperback. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide. An accessible text that provides students and instructors with the data science foundations to address earth science questions using real-world case studies. Focusing on intuitive reasoning, students are encouraged to develop their understanding through exercises utilizing Python notebooks and real datasets. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condition: New. In English.

Condition: New.

Condition: New. 2023. New. paperback. . . . . .

Condition: As New. Unread book in perfect condition.

hardcover. Condition: Very Good.

Condition: Very Good. Has some wear and creases. Has a remainder mark. hardcover Used - Very Good 2023.

Condition: New. 2023. New. paperback. . . . . . Books ship from the US and Ireland.

Paperback. Condition: Brand New. 250 pages. 9.96x7.99x0.71 inches. In Stock.

Condition: As New. Unread book in perfect condition.

Condition: New.

Condition: New.

Condition: New. 2023. New. hardcover. . . . . .

Condition: New. In English.

Condition: As New. Unread book in perfect condition.

Hardback. Condition: New. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.…

Hardcover. Condition: Brand New. 250 pages. 10.08x7.95x0.79 inches. In Stock.

Condition: New. 2023. New. hardcover. . . . . . Books ship from the US and Ireland.

Hardcover. Condition: Brand New. 250 pages. 10.08x7.95x0.79 inches. In Stock.

Condition: New.

Hardback. Condition: New. Data Science for the Geosciences provides students and instructors with the statistical and machine learning foundations to address Earth science questions using real-world case studies in natural hazards, climate change, environmental contamination and Earth resources. It focuses on techniques that address common characteristics of geoscientific data, including extremes, multivariate, compositional, geospatial and space-time methods. Step-by-step instructions are provided, enabling readers to easily follow the protocols for each method, solve their geoscientific problems and make interpretations. With an emphasis on intuitive reasoning throughout, students are encouraged to develop their understanding without the need for complex mathematics, making this the perfect text for those with limited mathematical or coding experience. Students can test their skills with homework exercises that focus on data scientific analysis, modeling, and prediction problems, and through the use of supplemental Python notebooks that can be applied to real datasets worldwide.…

Condition: As New. Unread book in perfect condition.