How To Use The Learning Curve
DOWNLOAD
Download How To Use The Learning Curve PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get How To Use The Learning Curve book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
How To Use The Learning Curve
DOWNLOAD
Author : Raymond Jordan
language : en
Publisher:
Release Date : 1972
How To Use The Learning Curve written by Raymond Jordan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1972 with categories.
Profit From The Learning Curve
DOWNLOAD
Author : Winfred B. Hirschmann
language : en
Publisher:
Release Date : 1964-01-01
Profit From The Learning Curve written by Winfred B. Hirschmann and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1964-01-01 with categories.
How To Use The Learning Curve
DOWNLOAD
Author : Raymond B. Jordan
language : en
Publisher:
Release Date : 1965
How To Use The Learning Curve written by Raymond B. Jordan and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1965 with Costs, Industrial categories.
The Curve Of Time
DOWNLOAD
Author : M. Wylie Blanchet
language : en
Publisher: Harbour Publishing
Release Date : 2024-10-05
The Curve Of Time written by M. Wylie Blanchet and has been published by Harbour Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-05 with Biography & Autobiography categories.
A beloved and bestselling Pacific Northwest classic, now available in paperback from Harbour Publishing! Widowed at the age of thirty-five, Muriel Wylie Blanchet packed up her five children in the summers that followed and set sail aboard the twenty-five-foot Caprice. For fifteen summers, in the 1920s and 1930s, the family explored the coves and islands of the BC coast, encountering settlers and hermits, hungry bears and dangerous tides, and falling under the spell of the region’s natural beauty. Driven by curiosity, the family followed the quiet coastline, and Blanchet—known as Capi, after her boat—recorded their wonder as they threaded their way between the snowfields, slept under the bright stars and wandered through Indigenous winter villages left empty in the summer months. The Curve of Time weaves the story of these years into a memoir that has inspired generations to seek out their own adventures on the wild west coast. First published in 1961, less than a year before the author died, Blanchet’s captivating work has become a classic of travel writing, and one of the bestselling BC books of all time.
Cost Estimation
DOWNLOAD
Author : Gregory K. Mislick
language : en
Publisher: John Wiley & Sons
Release Date : 2015-05-04
Cost Estimation written by Gregory K. Mislick and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-05-04 with Business & Economics categories.
Presents an accessible approach to the cost estimation tools, concepts, and techniques needed to support analytical and cost decisions Written with an easy-to-understand approach, Cost Estimation: Methods and Tools provides comprehensive coverage of the quantitative techniques needed by professional cost estimators and for those wanting to learn about this vibrant career field. Featuring the underlying mathematical and analytical principles of cost estimation, the book focuses on the tools and methods used to predict the research and development, production, and operating and support costs for successful cost estimation in industrial, business, and manufacturing processes. The book begins with a detailed historical perspective and key terms of the cost estimating field in order to develop the necessary background prior to implementing the presented quantitative methods. The book proceeds to fundamental cost estimation methods utilized in the field of cost estimation, including working with inflation indices, regression analysis, learning curves, analogies, cost factors, and wrap rates. With a step-by-step introduction to the practicality of cost estimation and the available resources for obtaining relevant data, Cost Estimation: Methods and Tools also features: Various cost estimating tools, concepts, and techniques needed to support business decisions Multiple questions at the end of each chapter to help readers obtain a deeper understanding of the discussed methods and techniques An overview of the software used in cost estimation, as well as an introduction to the application of risk and uncertainty analysis A Foreword from Dr. Douglas A. Brook, a professor in the Graduate School of Business and Public Policy at the Naval Postgraduate School, who spent many years working in the Department of Defense acquisition environment Cost Estimation: Methods and Tools is an excellent reference for academics and practitioners in decision science, operations research, operations management, business, and systems and industrial engineering, as well as a useful guide in support of professional cost estimation training and certification courses for practitioners. The book is also appropriate for graduate-level courses in operations research, operations management, engineering economics, and manufacturing and/or production processes.
Cost Estimator S Reference Manual
DOWNLOAD
Author : Rodney D. Stewart
language : en
Publisher: John Wiley & Sons
Release Date : 1995-04-03
Cost Estimator S Reference Manual written by Rodney D. Stewart and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-04-03 with Business & Economics categories.
In today's hypercompetitive global marketplace, accurate costestimating is crucial to bottom-line results. Nowhere is this moreevident than in the design and development of new products andservices. Among managing engineers responsible for developingrealistic cost estimates for new product designs, the number-onesource of information and guidance has been the Cost Estimator'sReference Manual. Comprehensive, authoritative, and practical, the Manual instructsreaders in the full range of cost estimating techniques andprocedures currently used in the fields of development, testing,manufacturing, production, construction, software, generalservices, government contracting, engineering services, scientificprojects, and proposal preparation. The authors clearly explain howto go about gathering the data essential to preparing a realisticestimate of costs and guide the reader step by step through eachprocedure. This new Second Edition incorporates a decade of progress in themethods, procedures, and strategies of cost estimating. All thematerial has been updated and five new chapters have been added toreflect the most recent information on such increasingly importanttopics as activity-based costing, software estimating,design-to-cost techniques, and cost implications of new concurrentengineering and systems engineering approaches to projects. Indispensable to virtually anyone whose work requires accurate costestimates, the Cost Estimator's Reference Manual will be especiallyvaluable to engineers, estimators, accountants, and contractors ofproducts, projects, processes, and services to both government andindustry. The essential ready-reference for the techniques, methods, andprocedures of cost estimating COST ESTIMATOR'S REFERENCE MANUAL Second Edition Indispensable for anyone who depends on accurate cost estimates forengineering projects, the Cost Estimator's Reference Manual guidesthe user through both the basic and more sophisticated aspects ofthe estimating process. Authoritative and comprehensive, the Manualseamlessly integrates the many functions--accounting, financial,statistical, and management--of modern cost estimating practice.Its broad coverage includes estimating procedures applied to suchareas as: * Production * Software * Development * General services * Testing * Government contracting * Manufacturing * Engineering * Proposal preparation * Scientific projects * Construction This updated and expanded Second Edition incorporates all the mostimportant recent developments in cost estimating, such asactivity-based costing, software estimating, design-to-costtechniques, computer-aided estimating tools, concurrentengineering, and life cycle costing. For engineers, estimators, accountants, planners, and others whoare involved in the cost aspects of projects, the Cost Estimator'sReference Manual is an invaluable information source that will payfor itself many times over.
Encyclopedia Of Production And Manufacturing Management
DOWNLOAD
Author : Paul M. Swamidass
language : en
Publisher: Springer Science & Business Media
Release Date : 2000-06-30
Encyclopedia Of Production And Manufacturing Management written by Paul M. Swamidass and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-06-30 with Business & Economics categories.
Production and manufacturing management since the 1980s has absorbed in rapid succession several new production management concepts: manufacturing strategy, focused factory, just-in-time manufacturing, concurrent engineering, total quality management, supply chain management, flexible manufacturing systems, lean production, mass customization, and more. With the increasing globalization of manufacturing, the field will continue to expand. This encyclopedia's audience includes anyone concerned with manufacturing techniques, methods, and manufacturing decisions.
The First 20 Hours
DOWNLOAD
Author : Josh Kaufman
language : en
Publisher: Penguin UK
Release Date : 2013-06-06
The First 20 Hours written by Josh Kaufman and has been published by Penguin UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-06 with Self-Help categories.
'Lots of books promise to change your life. This one actually will' Seth Godin, bestselling author of Purple Cow Have you always wanted to learn a new language? Play an instrument? Launch a business? What's holding you back from getting started? Are you worried about the time it takes to acquire new skills - time you can't spare? ------------------------------------------------ Pick up this book and set aside twenty hours to go from knowing nothing to performing like a pro. That's it. Josh Kaufman, author of international bestseller The Personal MBA, has developed a unique approach to mastering anything. Fast. 'After reading this book, you'll be ready to take on any number of skills and make progress on that big project you've been putting off for years' Chris Guillebeau, bestselling author of Un-F*ck Yourself 'All that's standing between you and playing the ukulele is your TV time for the next two weeks' Laura Vanderkam, author of What the Most Successful People Do Before Breakfast
Machine Learning With Scikit Learn Quick Start Guide
DOWNLOAD
Author : Kevin Jolly
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-10-30
Machine Learning With Scikit Learn Quick Start Guide written by Kevin Jolly and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-30 with Mathematics categories.
Deploy supervised and unsupervised machine learning algorithms using scikit-learn to perform classification, regression, and clustering. Key FeaturesBuild your first machine learning model using scikit-learnTrain supervised and unsupervised models using popular techniques such as classification, regression and clusteringUnderstand how scikit-learn can be applied to different types of machine learning problemsBook Description Scikit-learn is a robust machine learning library for the Python programming language. It provides a set of supervised and unsupervised learning algorithms. This book is the easiest way to learn how to deploy, optimize, and evaluate all of the important machine learning algorithms that scikit-learn provides. This book teaches you how to use scikit-learn for machine learning. You will start by setting up and configuring your machine learning environment with scikit-learn. To put scikit-learn to use, you will learn how to implement various supervised and unsupervised machine learning models. You will learn classification, regression, and clustering techniques to work with different types of datasets and train your models. Finally, you will learn about an effective pipeline to help you build a machine learning project from scratch. By the end of this book, you will be confident in building your own machine learning models for accurate predictions. What you will learnLearn how to work with all scikit-learn's machine learning algorithmsInstall and set up scikit-learn to build your first machine learning modelEmploy Unsupervised Machine Learning Algorithms to cluster unlabelled data into groupsPerform classification and regression machine learningUse an effective pipeline to build a machine learning project from scratchWho this book is for This book is for aspiring machine learning developers who want to get started with scikit-learn. Intermediate knowledge of Python programming and some fundamental knowledge of linear algebra and probability will help.
Hate Speech Detection And Sentiment Analysis Using Machine Learning And Deep Learning With Python Gui
DOWNLOAD
Author : Vivian Siahaan
language : en
Publisher: BALIGE PUBLISHING
Release Date : 2023-08-04
Hate Speech Detection And Sentiment Analysis Using Machine Learning And Deep Learning With Python Gui written by Vivian Siahaan and has been published by BALIGE PUBLISHING this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-08-04 with Computers categories.
The purpose of this project is to develop a comprehensive Hate Speech Detection and Sentiment Analysis system using both Machine Learning and Deep Learning techniques. The project aims to create a robust and accurate system that can automatically identify hate speech in text data and perform sentiment analysis to determine the emotions and opinions expressed in the text. The project is designed to address the growing concern over the spread of hate speech and offensive content online. By implementing an automated detection system, it can help social media platforms, content moderators, and online communities to proactively identify and remove harmful content, fostering a safer and more inclusive online environment. Additionally, sentiment analysis plays a crucial role in understanding public opinions, customer feedback, and social media trends. By accurately predicting sentiment, businesses can make data-driven decisions, improve customer satisfaction, and gain valuable insights into consumer preferences. This project focuses on Hate Speech Detection and Sentiment Analysis using both Machine Learning and Deep Learning techniques. It begins with exploring the dataset, analyzing feature distributions, and predicting sentiment using Machine Learning models like Logistic Regression, Support Vector Machines, K-Nearest Neighbors, Decision Trees, Random Forests, Gradient Boosting, Extreme Gradient Boosting, Light Gradient Boosting, and AdaBoost, while optimizing their performance through Grid Search for hyperparameter tuning. Subsequently, Deep Learning LSTM and 1D CNN models are implemented for sentiment analysis to capture long-term dependencies and local patterns in the text data. The project starts with exploring the dataset, understanding its structure, and analyzing the distribution of classes for hate speech and sentiment labels. This initial step allows us to gain insights into the dataset and potential challenges. After exploring the data, the distribution of text features, such as word frequency and sentiment scores, is analyzed to identify any patterns or biases that could impact the model's performance. The dataset is then divided into training, validation, and testing sets to evaluate the models' generalization capabilities. Early stopping techniques are utilized during training to prevent overfitting and enhance model generalization. Performance evaluation involves calculating metrics like accuracy, precision, recall, and F1-score to gauge the models' effectiveness. Confusion matrices and visualizations provide further insights into model predictions and potential areas for improvement. A graphical user interface (GUI) is developed using PyQt to facilitate user interaction with the Hate Speech Detection and Sentiment Analysis system. Before training the Deep Learning models, the text data is tokenized and padded for uniform input sequences. The dataset is split into training and validation sets for model evaluation, and early stopping is used to prevent overfitting during training. The final system combines predictions from both Machine Learning and Deep Learning models to provide robust sentiment analysis results. The PyQt GUI allows users to input text and receive real-time sentiment analysis predictions. The LSTM and 1D CNN models, along with their optimized hyperparameters, are saved and deployed for future sentiment analysis tasks. Users can interact with the GUI, analyze sentiment in different texts, and provide feedback for continuous improvement of the Hate Speech Detection and Sentiment Analysis system.