Author: John Roberts
Publisher: Verso Books
ISBN: 1789601495
Category : Philosophy
Languages : en
Pages : 425
Book Description
Truth and error are interdependent; claims to truth can be made only in the light of previous error. In The Necessity of Errors, John Roberts explores how, up to Hegel, emphasis was placed on error as something that dissolves truth and needs to be eradicated. Drawing on the fragmented corpus of writing on error, from Locke to Luxemburg, Adorno to Vaneigem, and covering five key areas from philosophy to political praxis, this wide-ranging account explores how we learn from error, under what conditions, and with what means. Errors, Roberts finds, are productive, but not in any uniform sense or under all circumstances-a theory of errors needs a dialectics of error.
The Necessity of Errors
Author: John Roberts
Publisher: Verso Books
ISBN: 1789601495
Category : Philosophy
Languages : en
Pages : 425
Book Description
Truth and error are interdependent; claims to truth can be made only in the light of previous error. In The Necessity of Errors, John Roberts explores how, up to Hegel, emphasis was placed on error as something that dissolves truth and needs to be eradicated. Drawing on the fragmented corpus of writing on error, from Locke to Luxemburg, Adorno to Vaneigem, and covering five key areas from philosophy to political praxis, this wide-ranging account explores how we learn from error, under what conditions, and with what means. Errors, Roberts finds, are productive, but not in any uniform sense or under all circumstances-a theory of errors needs a dialectics of error.
Publisher: Verso Books
ISBN: 1789601495
Category : Philosophy
Languages : en
Pages : 425
Book Description
Truth and error are interdependent; claims to truth can be made only in the light of previous error. In The Necessity of Errors, John Roberts explores how, up to Hegel, emphasis was placed on error as something that dissolves truth and needs to be eradicated. Drawing on the fragmented corpus of writing on error, from Locke to Luxemburg, Adorno to Vaneigem, and covering five key areas from philosophy to political praxis, this wide-ranging account explores how we learn from error, under what conditions, and with what means. Errors, Roberts finds, are productive, but not in any uniform sense or under all circumstances-a theory of errors needs a dialectics of error.
Truth and error contrasted; an inquiry into the necessity of promoting the reformation of the Roman Catholics of Ireland, in letters to the editor of Blackwood's magazine, in reply to an article in that publication
Author: Robert James M'Ghee
Publisher:
ISBN:
Category :
Languages : en
Pages : 428
Book Description
Publisher:
ISBN:
Category :
Languages : en
Pages : 428
Book Description
The Scholar Armed Against the Errors of the Time
Author: William Jones
Publisher:
ISBN:
Category : Christianity
Languages : en
Pages : 528
Book Description
Publisher:
ISBN:
Category : Christianity
Languages : en
Pages : 528
Book Description
Reports of Cases, Argued and Determined in the Supreme Court of Errors of the State of Connecticut
Author: Connecticut. Supreme Court of Errors
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 668
Book Description
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 668
Book Description
The Need for a European Contract Law
Author: J. M. Smits
Publisher: Europa Law Publishing
ISBN: 9789076871356
Category : Civil law
Languages : en
Pages : 204
Book Description
The aim of this book is to discuss the need for a uniform contract law in Europe. At present it is debated to what extent uniformity of law is required from the economic perspective. The view of the European Commission seems to be that diversity of law stands in the way of a proper functioning of the internal market, but this view does not seem to be shared by business: in the reactions to the 'Communication on European Contract Law (2001), it was striking to see that most companies do not consider the present diversity to be a true barrier to trade. This book offers five different perspectives on the need for a uniform contract law. These perspectives include economics, behavioral law and economics, psychology and law.
Publisher: Europa Law Publishing
ISBN: 9789076871356
Category : Civil law
Languages : en
Pages : 204
Book Description
The aim of this book is to discuss the need for a uniform contract law in Europe. At present it is debated to what extent uniformity of law is required from the economic perspective. The view of the European Commission seems to be that diversity of law stands in the way of a proper functioning of the internal market, but this view does not seem to be shared by business: in the reactions to the 'Communication on European Contract Law (2001), it was striking to see that most companies do not consider the present diversity to be a true barrier to trade. This book offers five different perspectives on the need for a uniform contract law. These perspectives include economics, behavioral law and economics, psychology and law.
Reports of Cases Argued and Determined in the Supreme Court of Errors of the State of Connecticut
Author: Connecticut. Supreme Court
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 658
Book Description
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 658
Book Description
The Necessity of Faith in Jesus Christ to Obtain Salvation
Author: Antoine Arnauld
Publisher: Xlibris Corporation
ISBN: 1462863523
Category : Religion
Languages : en
Pages : 320
Book Description
There is no available information at this time.
Publisher: Xlibris Corporation
ISBN: 1462863523
Category : Religion
Languages : en
Pages : 320
Book Description
There is no available information at this time.
Machine Learning Model Serving Patterns and Best Practices
Author: Md Johirul Islam
Publisher: Packt Publishing Ltd
ISBN: 1803242531
Category : Computers
Languages : en
Pages : 336
Book Description
Become a successful machine learning professional by effortlessly deploying machine learning models to production and implementing cloud-based machine learning models for widespread organizational use Key FeaturesLearn best practices about bringing your models to productionExplore the tools available for serving ML models and the differences between themUnderstand state-of-the-art monitoring approaches for model serving implementationsBook Description Serving patterns enable data science and ML teams to bring their models to production. Most ML models are not deployed for consumers, so ML engineers need to know the critical steps for how to serve an ML model. This book will cover the whole process, from the basic concepts like stateful and stateless serving to the advantages and challenges of each. Batch, real-time, and continuous model serving techniques will also be covered in detail. Later chapters will give detailed examples of keyed prediction techniques and ensemble patterns. Valuable associated technologies like TensorFlow severing, BentoML, and RayServe will also be discussed, making sure that you have a good understanding of the most important methods and techniques in model serving. Later, you'll cover topics such as monitoring and performance optimization, as well as strategies for managing model drift and handling updates and versioning. The book will provide practical guidance and best practices for ensuring that your model serving pipeline is robust, scalable, and reliable. Additionally, this book will explore the use of cloud-based platforms and services for model serving using AWS SageMaker with the help of detailed examples. By the end of this book, you'll be able to save and serve your model using state-of-the-art techniques. What you will learnExplore specific patterns in model serving that are crucial for every data science professionalUnderstand how to serve machine learning models using different techniquesDiscover the various approaches to stateless servingImplement advanced techniques for batch and streaming model servingGet to grips with the fundamental concepts in continued model evaluationServe machine learning models using a fully managed AWS Sagemaker cloud solutionWho this book is for This book is for machine learning engineers and data scientists who want to bring their models into production. Those who are familiar with machine learning and have experience of using machine learning techniques but are looking for options and strategies to bring their models to production will find great value in this book. Working knowledge of Python programming is a must to get started.
Publisher: Packt Publishing Ltd
ISBN: 1803242531
Category : Computers
Languages : en
Pages : 336
Book Description
Become a successful machine learning professional by effortlessly deploying machine learning models to production and implementing cloud-based machine learning models for widespread organizational use Key FeaturesLearn best practices about bringing your models to productionExplore the tools available for serving ML models and the differences between themUnderstand state-of-the-art monitoring approaches for model serving implementationsBook Description Serving patterns enable data science and ML teams to bring their models to production. Most ML models are not deployed for consumers, so ML engineers need to know the critical steps for how to serve an ML model. This book will cover the whole process, from the basic concepts like stateful and stateless serving to the advantages and challenges of each. Batch, real-time, and continuous model serving techniques will also be covered in detail. Later chapters will give detailed examples of keyed prediction techniques and ensemble patterns. Valuable associated technologies like TensorFlow severing, BentoML, and RayServe will also be discussed, making sure that you have a good understanding of the most important methods and techniques in model serving. Later, you'll cover topics such as monitoring and performance optimization, as well as strategies for managing model drift and handling updates and versioning. The book will provide practical guidance and best practices for ensuring that your model serving pipeline is robust, scalable, and reliable. Additionally, this book will explore the use of cloud-based platforms and services for model serving using AWS SageMaker with the help of detailed examples. By the end of this book, you'll be able to save and serve your model using state-of-the-art techniques. What you will learnExplore specific patterns in model serving that are crucial for every data science professionalUnderstand how to serve machine learning models using different techniquesDiscover the various approaches to stateless servingImplement advanced techniques for batch and streaming model servingGet to grips with the fundamental concepts in continued model evaluationServe machine learning models using a fully managed AWS Sagemaker cloud solutionWho this book is for This book is for machine learning engineers and data scientists who want to bring their models into production. Those who are familiar with machine learning and have experience of using machine learning techniques but are looking for options and strategies to bring their models to production will find great value in this book. Working knowledge of Python programming is a must to get started.
Digest of Cases in Supreme Court and Court of Errors of the State of New York
Author: Thomas W. Clerke
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 742
Book Description
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 742
Book Description
Reports of Cases, Argued and Determined in the Supreme Court of Errors, of the State of Connecticut, in the Years 1802[-1813]...
Author: Connecticut. Supreme Court of Errors
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 522
Book Description
Publisher:
ISBN:
Category : Law reports, digests, etc
Languages : en
Pages : 522
Book Description