Krishnan sundar (54 resultados)

paperback. Condición: Good.

Condición: New.

Condición: As New. Unread book in perfect condition.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New.

xv, 419 p. Hardcover. Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch.

16 x 24 cm. XV, 419 S. XV, 419 p. 262 illus., 184 illus. in color. hARDCOVER: Versand aus Deutschland / We dispatch from Germany via Air Mail. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. (Energy, Environment, and Sustainability). Sprache: Englisch.…

Paperback. Condición: New. Second Edition. This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basics of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments. This edition also includes methods to measure engagement and identify actionable populations for effective churn treatments. Additionally, a dedicated chapter on experimentation design has been added, covering steps to efficiently design, conduct, test, and measure the results of your models. All code examples have been updated to reflect the latest stable version of Spark. You will:Gain an overview of end-to-end predictive model buildingUnderstand multiple variable selection techniques and their implementationsLearn how to operationalize modelsPerform data science experiments and learn useful tips.…

Condición: As New. Unread book in perfect condition.

Condición: New.

Paperback. Condición: New. Second Edition. This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basics of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments. This edition also includes methods to measure engagement and identify actionable populations for effective churn treatments. Additionally, a dedicated chapter on experimentation design has been added, covering steps to efficiently design, conduct, test, and measure the results of your models. All code examples have been updated to reflect the latest stable version of Spark. You will:Gain an overview of end-to-end predictive model buildingUnderstand multiple variable selection techniques and their implementationsLearn how to operationalize modelsPerform data science experiments and learn useful tips.…

Condición: As New. Unread book in perfect condition.

Condición: New.

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

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

Paperback. Condición: Brand New. 436 pages. 9.25x6.10x1.00 inches. In Stock.

Condición: New. In English.

Paperback. Condición: New. Second Edition. This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basics of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments. This edition also includes methods to measure engagement and identify actionable populations for effective churn treatments. Additionally, a dedicated chapter on experimentation design has been added, covering steps to efficiently design, conduct, test, and measure the results of your models. All code examples have been updated to reflect the latest stable version of Spark. You will:Gain an overview of end-to-end predictive model buildingUnderstand multiple variable selection techniques and their implementationsLearn how to operationalize modelsPerform data science experiments and learn useful tips.…

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Condición: Hervorragend. Zustand: Hervorragend | Seiten: 436 | Sprache: Englisch | Produktart: Bücher | This book covers the various advanced reciprocating combustion engine technologies that utilize natural gas and alternative fuels for transportation and power generation applications. It is divided into three major sections consisting of both fundamental and applied technologies to identify (but not limited to) clean, high-efficiency opportunities with natural gas fueling that have been developed through experimental protocols, numerical and high-performance computational simulations, and zero-dimensional, multizone combustion simulations. Particular emphasis is placed on statutes to monitor fine particulate emissions from tailpipe of engines operating on natural gas and alternative fuels.…

Condición: New.

Condición: New.

Condición: New.

Paperback. Condición: New. Second Edition. This comprehensive guide, featuring hand-picked examples of daily use cases, will walk you through the end-to-end predictive model-building cycle using the latest techniques and industry tricks. In Chapters 1, 2, and 3, we will begin by setting up the environment and covering the basics of PySpark, focusing on data manipulation. Chapter 4 delves into the art of variable selection, demonstrating various techniques available in PySpark. In Chapters 5, 6, and 7, we explore machine learning algorithms, their implementations, and fine-tuning techniques. Chapters 8 and 9 will guide you through machine learning pipelines and various methods to operationalize and serve models using Docker/API. Chapter 10 will demonstrate how to unlock the power of predictive models to create a meaningful impact on your business. Chapter 11 introduces some of the most widely used and powerful modeling frameworks to unlock real value from data. In this new edition, you will learn predictive modeling frameworks that can quantify customer lifetime values and estimate the return on your predictive modeling investments. This edition also includes methods to measure engagement and identify actionable populations for effective churn treatments. Additionally, a dedicated chapter on experimentation design has been added, covering steps to efficiently design, conduct, test, and measure the results of your models. All code examples have been updated to reflect the latest stable version of Spark. You will:Gain an overview of end-to-end predictive model buildingUnderstand multiple variable selection techniques and their implementationsLearn how to operationalize modelsPerform data science experiments and learn useful tips.…

Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book covers the various advanced reciprocating combustion engine technologies that utilize natural gas and alternative fuels for transportation and power generation applications. It is divided into three major sections consisting of both fundamental and applied technologies to identify (but not limited to) clean, high-efficiency opportunities with natural gas fueling that have been developed through experimental protocols, numerical and high-performance computational simulations, and zero-dimensional, multizone combustion simulations. Particular emphasis is placed on statutes to monitor fine particulate emissions from tailpipe of engines operating on natural gas and alternative fuels.…

Hardcover. Condición: new. Hardcover. Biomaterials play a vital role in medicine today, including restoring function and facilitating diagnosis and disease prevention. Biomaterial-based products consist of either natural or synthetic materials. Biomaterials derived from natural products can consist of materials such as proteins, polysaccharides, lipids, glycoproteins, lipoproteins, cellular matrix, and its components. These products may be used as alternatives to animal-derived and synthetic chemical products to develop new therapeutic and diagnostic approaches with greater eco-friendliness and sustainability, according to new research. They are also biocompatible, biodegradable, renewable, non-toxic, and capable of remodelling.Recently, scientists have been exploring the potential use of plant-based cellular matrix-based biomaterials for the treatment of various communicable and noncommunicable diseases, a trend that has attracted the attention of global biomedical research. Globally, there has been an increase in the need for more effective treatment and diagnostics as a result of the overwhelming disease burden in society. Current Applications of Nanobiomaterials, Volume 1 and Volume 2 together, outline the most widely used biomaterials derived from non-animal natural resources, such as plants, fungi, algae, and microbes, with a focus on novel therapeutic and diagnostic applications. These products may be used as alternatives to animal-derived and synthetic chemical products to develop new therapeutic and diagnostic approaches with greater eco-friendliness and sustainability, according to new research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Condición: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 6-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.…

Hardcover. Condición: new. Hardcover. Biomaterials play a vital role in medicine today, including restoring function and facilitating diagnosis and disease prevention. Biomaterial-based products consist of either natural or synthetic materials. Biomaterials derived from natural products can consist of materials such as proteins, polysaccharides, lipids, glycoproteins, lipoproteins, cellular matrix, and its components. These products may be used as alternatives to animal-derived and synthetic chemical products to develop new therapeutic and diagnostic approaches with greater eco-friendliness and sustainability, according to new research. They are also biocompatible, biodegradable, renewable, non-toxic, and capable of remodelling.Recently, scientists have been exploring the potential use of plant-based cellular matrix-based biomaterials for the treatment of various communicable and noncommunicable diseases, a trend that has attracted the attention of global biomedical research. Globally, there has been an increase in the need for more effective treatment and diagnostics as a result of the overwhelming disease burden in society. Current Applications of Nanobiomaterials, Volume 1 and Volume 2 together, outline the most widely used biomaterials derived from non-animal natural resources, such as plants, fungi, algae, and microbes, with a focus on novel therapeutic and diagnostic applications. These products may be used as alternatives to animal-derived and synthetic chemical products to develop new therapeutic and diagnostic approaches with greater eco-friendliness and sustainability, according to new research. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…