Mcgrath daniel a (24 Ergebnisse)
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Paperback. Zustand: new. Paperback. As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry or government, this book will provide you with a foundation t…o successfully and confidently process large amounts of quantitative data. Here are just a dozen of the many questions answered within these pages: What does quantitative analysis of a system really mean? What is a system? What are big data and analytics? How do you know your numbers are good? What will the future data science environment look like? How do you determine data provenance? How do you gather and process information, and then organize, store, and synthesize it? How does an organisation implement data analytics? Do you really need to think like a Chief Information Officer? What is the best way to protect data? What makes a good dashboard? What is the relationship between eating ice cream and getting attacked by a shark? The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO). Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 Ts for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow. Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Paperback. Zustand: new. Paperback. As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry or government, this book will provide you with a foundation t…o successfully and confidently process large amounts of quantitative data. Here are just a dozen of the many questions answered within these pages: What does quantitative analysis of a system really mean? What is a system? What are big data and analytics? How do you know your numbers are good? What will the future data science environment look like? How do you determine data provenance? How do you gather and process information, and then organize, store, and synthesize it? How does an organisation implement data analytics? Do you really need to think like a Chief Information Officer? What is the best way to protect data? What makes a good dashboard? What is the relationship between eating ice cream and getting attacked by a shark? The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO). Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 Ts for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow. Whether you work within industry or government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 296 | Sprache: Englisch | Produktart: Bücher | As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry or…government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data. Here are just a dozen of the many questions answered within these pages: What does quantitative analysis of a system really mean? What is a system? What are big data and analystics? How do you know your numbers are good? What will the future data science environment look like? How do you determine data provenance? How do you gather and process information, and then organize, store, and synthesize it? How does an organization implement data analytics? Do you really need to think like a Chief Information Officer? What is the best way to protect data? What makes a good dashboard? What is the relationship between eating ice cream and getting attacked by a shark? The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO). Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
Weitere BilderThe Old-house journal : renovation and maintenance ideas for the antique house. ; The Old-house journal catalog[old house is a way of life; Protecting the aging house from winter storms; Old-house living a brownstone in Brooklyn; Sealing leaky windows; Quieting a steam heating system; Flat-roof repairs; Chimney check up; The care and cleaning of brass; Refinishing secrets of the Boston Museum; The bare-brick mistake; A schoolhouse in Kentucky; Restoring shutters to working order; Surgery on a staircase; Coping with frayed electrical wiring; How to apply French polish; Recipes for reviving and refinishing; Teaching a fireplace not to smoke; Antique wallpaper preservation; Victorian gingerbread; The art of getting plastered; Tricks; etc]
Labine, R A Clem; Flaherty, Carolyn; McLoughlin, Paul T; Hechtman, Martin M; McGrath, James R; Wood, Clair; Drucker, Claire; Christian, R.; Snow, Peter D; Zucker, Howard; Skeele, Joan; Gillett, Jean T; Waldhorn, Judith Lynch; Hunter R C; Welsh, Frank S; Cunningham, Jack R; Lesandro, Jerry; Gola, Edward F; Lloyd, John K; Papian, William N.; Yule, Don; Bucksbaum, Carolyn S; Duryee, Lawrence M; Gerhardt, Tom H; Kahn, Renee; Elliott, Felicia; Jeanloz, Donna; Broadnax, Frank; Huff, Matt; Prudon, Theodore; Houser, Meg; Kalett, Jim; O'Reilly, Joan; Gillespie, David S; Meyer, C R; Mehn, Daniel J; Diller, Lynn; Niederhofer, Gail; Creekmore, Betsey; Mikesell, Richard V; MacDonald, Stephen; Pilling, Ronald W; Raffaele, Marilyn; Potter, Dee; Erdrich
Verlag: Brooklyn, New York : The Old House Journal Corporation, 1973-1979, 1973
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In den WarenkorbNo Binding. Zustand: Fine. No Jacket. loose-leaf publication ; OCLC: 857088726 ; a six-year run of Old-House Journal, as well as The Old-house journal catalog, with the indexes ; lists over 5,873 products and services, with 525 companies for the renovation of old houses; many articles on various aspects of repair; laid the groun…dwork for the Public Television series This Old House ; V.1.no.1: An old house is a way of life -- Protecting the aging house from winter storms -- Old-house living: a brownstone in Brooklyn -- Sealing leaky windows -- Quieting a steam heating system -- Flat-roof repairs -- Chimney check up -- The care and cleaning of brass -- v.1 no.2 : Refinishing secrets of the Boston Museum -- The bare-brick mistake -- A schoolhouse in Kentucky -- Restoring shutters to working order -- Surgery on a staircase -- Coping with frayed electrical wiring -- How to apply French polish -- Recipes for reviving and refinishing - v.1 no.3: Teaching a fireplace not to smoke -- Antique wallpaper preservation -- Victorian gingerbread -- The art of getting plastered -- Tricks an old farmhouse plays -- Matching bricks & mortar -- How to paint a cathedral -- v.2 no1: Catalog your house's secret passages -- An Italian villa in New Haven -- Major repairs to plaster surfaces -- Tips on mixing plaster -- Mansard roof -- A tale of two houses -- V.2 no 2: How to stiffen sagging floors -- Let's do away with incentives that destroy old houses -- Wallpaper in old houses -- Where to buy 18th & 19th century wallpaper -- Duplicating plaster cornices -- v.2 no.3: Duplicate plaster castings -- A townhouse in Trenton -- Parts of a staircase -- One way to insulate an attic -- V.2, no4: Drapes & curtains -- A family plantation in Virginia -- Don't get stuck with the wrong glue -- Restoration of sandstone -- V.2 no.5: Repairing old floors -- Octagon house on the Hudson -- Re-creating period window hangings -- v.2 no 6: A restorationist view of windows -- Queen Anne revival in Little Rock -- Repairing & restoring marble mantels -- Windows and parts -- V.2 no 7: Sawn wood ornament -- Pre-Civil War manse on the Mississippi -- Mix your own wood stain -- Running electrical wire -- Restoring and re-creating sawn wood ornament -- V.2 no 8: Eastlake -- Preserving woodworkers' art in St. Paul -- Restoring rotted window sills -- Improved process for stripping paint -- v.2 no 9: Tips on stripping shutters -- in Covington, a riverboat captain's Italianate berth -- restoring a frame house exterior -- Early American roof types -- Victorian fancywork -- v.2 no 10: The domestic architecture of Downing -- Caustic approach to exterior paint removal -- A restored federal enclave in Charlestown -- Detecting & defeating rot in old houses -- Downing on color -- v.2 no2 : Preventing rot in old houses -- How to make an electrical survey -- Greek revival on the immigrant road -- Classical orders -- v.2 no12: Refinishing old wood floors -- Insuring townhouse living -- Tips on sanding -- Painted floors -- Cast iron fences -- Care & repair of ornamental iron -- v.3 no 1: Early American wall stenciling -- Restored, a hopeless 1865 Greek revival ruin -- Selecting the best floor finish -- v.3 no2: Victorian stenciling -- Romanesque revival in the inner city -- The case against removing paint from brick masonry -- Replacing a clapboard -- Glenview, Victorian stencilling restored -- v.3 no.3 Restoring old brickwork -- Dual personality saves 1836 Greek revival -- The peril in Portland cement -- Marbelizing -- v.3 no 4: Late Victorian art movement -- Reviving a 1745 stone manor -- Selecting & using chemical paint removers -- v.3 no5: Greek revival decoration -- Self-supporting shingle-style seaside cottage -- v.3 no6: How to grain like a professional -- Moving story of a Swiss chalet in Vermont -- Locating buried artifacts -- v.3, no.7 : Lighting for the old house -- Victorian charm re-created in San Francisco -- Rebuiling fireplaces -- Adapting old fixtures -- Fancy butt shingles; etc ; a mark or two; else FINE. Book.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry o…r government, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.Here are just a dozen of the many questions answered within these pages:What does quantitative analysis of a system really mean What is a system What are big data and analystics How do you know your numbers are good What will the future data science environment look like How do you determine data provenance How do you gather and process information, and then organize, store, and synthesize it How does an organization implement data analytics Do you really need to think like a Chief Information Officer What is the best way to protect data What makes a good dashboard What is the relationship between eating ice cream and getting attacked by a shark The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow. 296 pp. Englisch.
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry or gov…ernment, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.Here are just a dozen of the many questions answered within these pages: What does quantitative analysis of a system really mean What is a system What are big data and analystics How do you know your numbers are good What will the future data science environment look like How do you determine data provenance How do you gather and process information, and then organize, store, and synthesize it How does an organization implement data analytics Do you really need to think like a Chief Information Officer What is the best way to protect data What makes a good dashboard What is the relationship between eating ice cream and getting attacked by a shark The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextAs data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether…you work within in.
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -As data holdings get bigger and questions get harder, data scientists and analysts must focus on the systems, the tools and techniques, and the disciplined process to get the correct answer, quickly! Whether you work within industry or go…vernment, this book will provide you with a foundation to successfully and confidently process large amounts of quantitative data.Here are just a dozen of the many questions answered within these pages:What does quantitative analysis of a system really mean What is a system What are big data and analystics How do you know your numbers are good What will the future data science environment look like How do you determine data provenance How do you gather and process information, and then organize, store, and synthesize it How does an organization implement data analytics Do you really need to think like a Chief Information Officer What is the best way to protect data What makes a good dashboard What is the relationship between eating ice cream and getting attacked by a shark The nine chapters in this book are arranged in three parts that address systems concepts in general, tools and techniques, and future trend topics. Systems concepts include contrasting open and closed systems, performing data mining and big data analysis, and gauging data quality. Tools and techniques include analyzing both continuous and discrete data, applying probability basics, and practicing quantitative analysis such as descriptive and inferential statistics. Future trends include leveraging the Internet of Everything, modeling Artificial Intelligence, and establishing a Data Analytics Support Office (DASO).Many examples are included that were generated using common software, such as Excel, Minitab, Tableau, SAS, and Crystal Ball. While words are good, examples can sometimes be a better teaching tool. For each example included, data files can be found on the companion website. Many of the data sets are tied to the global economy because they use data from shipping ports, air freight hubs, largest cities, and soccer teams. The appendices contain more detailed analysis including the 10 T's for Data Mining, Million Row Data Audit (MRDA) Processes, Analysis of Rainfall, and Simulation Models for Evaluating Traffic Flow.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 296 pp. Englisch.
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Taschenbuch. Zustand: Neu. Quantitative Analysis for System Applications | Data Science and Analytics Tools and Techniques | Daniel A. McGrath | Taschenbuch | Kartoniert / Broschiert | Englisch | 2018 | Technics Publications | EAN 9781634624237 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, g…psr[at]libri[dot]de | Anbieter: preigu Print on Demand.
