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Imperial Riding Bomber jacket Special Facts
129,95 € *
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Funny bomber jacket made of functional materialDetachable hood with synthetic fur (We only use animal-friendly vegan fur. The fur trimming are detachable for easy cleaning.) The sparkling frontal 2-way zip is a real eye-catcher. Outer jacket and lining made of technical fabric. The jacket has sealable outer pockets, and it also has a sealable inner pocket for your mobile phone. On the front, there is a continuous sparkling 2-way zip with wind protection. Even when we are not doing any sports at all, our body is generating heat, and we begin to sweat. A healthy adult produces 200 to 700 ml of sweat on average on a daily basis. It goes without saying that this is higher when you engage in physical exercise or during the summer. In order to keep our body temperature at a comfortable level and to keep sweat levels on the skin as low as possible, a jacket must have good ventilating properties as well as breathability. The material of the Funny Facts bomber jacket can absorb up to 1000 g of steam within 24 hours per square metre, and it has the ability to transfer this to the outside. An ISO standard says that water-tight textiles must have a water column of at least 1,300 mm. In a lab, a tube is placed on a sample of the fabric to be examined, and after this, the tube is filled with water. This process checks which water level penetrates the fabric. This means that, if the water only penetrates the fabric at more than 1,300 mm, the material is deemed water-tight. The Funny Facts bomber jacket only lets water through from 3,000 mm.

Anbieter: Horze
Stand: 15.07.2020
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The Real Work of Data Science
48,90 CHF *
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The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
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AQA AS/A-Level Design and Technology: Fashion a...
30,00 CHF *
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Exam board: AQA Level: A-level Subject: Design and Technology First teaching: September 2017 First exams: Summer 2018 (AS) Summer 2019 (A-Level) Encourage your students to be creative, innovative and critical designers with a textbook that builds in-depth knowledge and understanding of the materials, components and processes associated with the creation of fashion and textile products. Our experienced author team will help guide you through the requirements of the specification, covering the core technical and designing and making principles needed for the 2017 AQA AS and A-level Design and Technology Fashion and Textiles specification. - Explores real-world contexts for fashion and textiles - Develops practical skills and theoretical knowledge and builds student confidence - Supports students with the application of maths skills to fashion and textiles - Helps guide students through the requirements of the Non-Exam Assessments and the written exams at both AS and A-level

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
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The Real Work of Data Science
30,00 CHF *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
31,00 CHF *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Orell Fuessli CH
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
39,99 € *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Thalia AT
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
27,99 € *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Thalia AT
Stand: 15.07.2020
Zum Angebot
The Real Work of Data Science
27,99 € *
ggf. zzgl. Versand

The essential guide for data scientists and for leaders who must get more from their data science teams The Economist boldly claims that data are now 'the world's most valuable resource.' But, as Kenett and Redman so richly describe, unlocking that value requires far more than technical excellence. The Real Work of Data Science explores understanding the problems, dealing with quality issues, building trust with decision makers, putting data science teams in the right organizational spots, and helping companies become data-driven. This is the work that spells the difference between a good data scientist and a great one, between a team that makes marginal contributions and one that drives the business, between a company that gains some value from its data and one in which data truly is 'the most valuable resource.' 'These two authors are world-class experts on analytics, data management, and data quality; they've forgotten more about these topics than most of us will ever know. Their book is pragmatic, understandable, and focused on what really counts. If you want to do data science in any capacity, you need to read it.' --Thomas H. Davenport, Distinguished Professor, Babson College and Fellow, MIT Initiative on the Digital Economy 'I like your book. The chapters address problems that have faced statisticians for generations, updated to reflect today's issues, such as computational Big Data.' --Sir David Cox, Warden of Nuffield College and Professor of Statistics, Oxford University 'Data science is critical for competitiveness, for good government, for correct decisions. But what is data science? Kenett and Redman give, by far, the best introduction to the subject I have seen anywhere. They address the critical questions of formulating the right problem, collecting the right data, doing the right analyses, making the right decisions, and measuring the actual impact of the decisions. This book should become required reading in statistics and computer science departments, business schools, analytics institutes and, most importantly, by all business managers.' --A. Blanton Godfrey, Joseph D. Moore Distinguished University Professor, Wilson College of Textiles, North Carolina State University

Anbieter: Thalia AT
Stand: 15.07.2020
Zum Angebot
AQA AS/A-Level Design and Technology: Fashion a...
27,99 € *
ggf. zzgl. Versand

Exam board: AQA Level: A-level Subject: Design and Technology First teaching: September 2017 First exams: Summer 2018 (AS) Summer 2019 (A-Level) Encourage your students to be creative, innovative and critical designers with a textbook that builds in-depth knowledge and understanding of the materials, components and processes associated with the creation of fashion and textile products. Our experienced author team will help guide you through the requirements of the specification, covering the core technical and designing and making principles needed for the 2017 AQA AS and A-level Design and Technology Fashion and Textiles specification. - Explores real-world contexts for fashion and textiles - Develops practical skills and theoretical knowledge and builds student confidence - Supports students with the application of maths skills to fashion and textiles - Helps guide students through the requirements of the Non-Exam Assessments and the written exams at both AS and A-level

Anbieter: Thalia AT
Stand: 15.07.2020
Zum Angebot