Top 10 recommendation mining engineering 2022
When you looking for mining engineering, you must consider not only the quality but also price and customer reviews. But among hundreds of product with different price range, choosing suitable mining engineering is not an easy task. In this post, we show you how to find the right mining engineering along with our top-rated reviews. Please check out our suggestions to find the best mining engineering for you.
1. Mining Engineering Analysis, Second Edition
Description
Here is a book that actually fills the gap between theory and application. Mining engineering students studying mine design and needing guidance in assembling a mine-design project will refer to this book over and over again. It is useful for industry professionals who require a mine-design reference book for daily use or, who wish to prepare for the professional engineers examination.
Chapters include: Introduction, Mine Preplanning, Ventilation, Strata Control, Pumping and Drainage, Power Systems, Hoisting Systems, Rail and Belt Haulage Systems, Rubber-Tired Haulage Systems, and Surface Extraction.
2. Introductory Mining Engineering, 2Nd Ed
Description
Brand New Book in Perfect Condition.Fast Shipping with tracking number.3. Introductory Mining Engineering
Description
An introductory text and reference on mining engineeringhighlighting the latest in mining technologyIntroductory Mining Engineering outlines the role of the miningengineer throughout the life of a mine, including prospecting forthe deposit, determining the site's value, developing the mine,extracting the mineral values, and reclaiming the land afterward.This Second Edition is written with a focus onsustainability-managing land to meet the economic and environmentalneeds of the present while enhancing its ability to also meet theneeds of future generations. Coverage includes aboveground andunderground methods of mining for a wide range of substances,including metals, nonmetals, and fuels.
Completely up to date, this book presents the latest information onsuch technologies as remote sensing, GPS, geophysical surveying,and mineral deposit evaluation, as well as continuous integratedmining operations and autonomous trucks. Also included is newinformation on landscape restoration, regional planning, wetlandsprotection, subsidence mitigation, and much more.
New chapters include coverage of:
* Environmental responsibilities
* Regulations
* Health and safety issues
Generously supplemented with more than 200 photographs, drawings,and tables, Introductory Mining Engineering, Second Edition is anindispensable book for mining engineering students and acomprehensive reference for professionals.
4. The History of Mining: The events, technology and people involved in the industry that forged the modern world
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Used Book in Good ConditionDescription
THE INDUSTRY THAT FORGED THE MODERN WORLDThroughout history metals and raw materials have underpinned human activity. So it is that the industry responsible for extracting these materials from the ground - mining - has been ever present throughout the history of civilisation, from the ancient world of the Egyptians and Romans, to the industrial revolution and the British Empire, and through to the present day, with mining firms well represented on the world's most important stock indexes including the FTSE100.
This book traces the history of mining from those early moments when man first started using tools to the present day where metals continue to underpin economic activity in the post industrial age. In doing so, the history of mining methods, important events, technological developments, the important firms and the sparkling personalities that built the industry are examined in detail. At every stage, as the history of mining is traced from 40,000BC to the present day, the level of detail increases in accordance with the greater social and industrial developments that have played out as time has progressed. This means that a particular focus is given to the period since the industrial revolution and especially the 20th century. A look is also taken into the future in an effort to chart the direction this great industry might take in years to come.
Many books have been written about mining; the majority have focused on a particular metal, geographical area, mining event or mining personality, but 'The History of Mining' has a broader scope and covers all of these essential and fascinating areas in one definitive volume.
5. SME Mining Enginering Handbook, Third Edition, Volumes 1 & 2
Description
This third edition of the SME Mining Engineering Handbook reaffirms its international reputation as the handbook of choice for todays practicing mining engineer. It distills the body of knowledge that characterizes mining engineering as a disciplinary field and has subsequently helped to inspire and inform generations of mining professionals.
Virtually all of the information is original content, representing the latest information from more than 250 internationally recognized mining industry experts.
Within the handbooks 115 thought-provoking chapters are current topics relevant to todays mining professional:
- Analyzing how the mining and minerals industry will develop over the medium and long termwhy such changes are inevitable, what this will mean in terms of challenges, and how they could be managed
- Explaining the mechanics associated with the multifaceted world of mine and mineral economics, from the decisions associated with how best to finance a single piece of high-value equipment to the long-term cash-flow issues associated with mine planning at a mature operation
- Describing the recent and ongoing technical initiatives and engineering developments in relation to robotics, automation, acid rock drainage, block caving optimization, or process dewatering methods
- Examining in detail the methods and equipment available to achieve efficient, predictable, and safe rock breaking
- Identifying the salient points that dictate which is the safest, most efficient, and most versatile extraction method to employ, as well as describing in detail how each alternative is engineered
- Discussing the impacts that social and environmental issues have on mining from the pre-exploration phase to end-of-mine issues and beyond, and how to manage these two increasingly important factors to the benefit of both the mining companies and other stakeholders
6. Underground Mining Methods: Engineering Fundamentals and International Case Studies
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Used Book in Good ConditionDescription
Underground Mining Methods presents the latest principles and techniques in use today. Reflecting the international and diverse nature of the industry, a series of mining case studies is presented covering the commodity range from iron ore to diamonds extracted by operations located in all corners of the world. Industry experts have contributed 77 chapters.
This book is certain to become a standard for every practicing mining engineer and student alike. Sections include: General Mine Design Considerations, Room-and-Pillar Mining of Hard Rock/Soft Rock, Longwall Mining of Hard Rock, Shrinkage Stoping, Sublevel Stoping, Cut-and-Fill Mining, Sublevel Caving, Panel Caving, Foundations for Design, and Underground Mining Looks to the Future.
7. Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Description
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, youll learn techniques for extracting and transforming featuresthe numeric representations of raw datainto formats for machine-learning models. Each chapter guides you through a single data problem, such as how to represent text or image data. Together, these examples illustrate the main principles of feature engineering.
Rather than simply teach these principles, authors Alice Zheng and Amanda Casari focus on practical application with exercises throughout the book. The closing chapter brings everything together by tackling a real-world, structured dataset with several feature-engineering techniques. Python packages including numpy, Pandas, Scikit-learn, and Matplotlib are used in code examples.
Youll examine:
- Feature engineering for numeric data: filtering, binning, scaling, log transforms, and power transforms
- Natural text techniques: bag-of-words, n-grams, and phrase detection
- Frequency-based filtering and feature scaling for eliminating uninformative features
- Encoding techniques of categorical variables, including feature hashing and bin-counting
- Model-based feature engineering with principal component analysis
- The concept of model stacking, using k-means as a featurization technique
- Image feature extraction with manual and deep-learning techniques
8. Building Intelligent Systems: A Guide to Machine Learning Engineering
Description
Produce a fully functioning Intelligent System that leverages machine learning and data from user interactions to improve over time and achieve success.What You'll Learn:
- Understand the concept of an Intelligent System: What it is good for, when you need one, and how to set it up for success
- Design an intelligent user experience: Achieve your objectives and produce data to help make the Intelligent System better over time
- Implement an Intelligent System: Execute, manage, and measure Intelligent Systems in practice
- Create intelligence: Use different approaches, including machine learning
- Orchestrate an Intelligent System: Bring the parts together throughout its life cycle and achieve the impact you want
This Book Is For:
9. Sme Mining Engineering Handbook, Volumes 1 & 2 (set)
Description
SME Mining Engineering Handbook Volume 1 [Hardcover] [Jan 01, 1973] Arthur B. Cummins ...10. Feature Engineering for Machine Learning and Data Analytics (Chapman & Hall/CRC Data Mining and Knowledge Discovery Series)
Description
Feature engineering plays a vital role in big data analytics. Machine learning and data mining algorithms cannot work without data. Little can be achieved if there are few features to represent the underlying data objects, and the quality of results of those algorithms largely depends on the quality of the available features. Feature Engineering for Machine Learning and Data Analytics provides a comprehensive introduction to feature engineering, including feature generation, feature extraction, feature transformation, feature selection, and feature analysis and evaluation.
The book presents key concepts, methods, examples, and applications, as well as chapters on feature engineering for major data types such as texts, images, sequences, time series, graphs, streaming data, software engineering data, Twitter data, and social media data. It also contains generic feature generation approaches, as well as methods for generating tried-and-tested, hand-crafted, domain-specific features.
The first chapter defines the concepts of features and feature engineering, offers an overview of the book, and provides pointers to topics not covered in this book. The next six chapters are devoted to feature engineering, including feature generation for specific data types. The subsequent four chapters cover generic approaches for feature engineering, namely feature selection, feature transformation based feature engineering, deep learning based feature engineering, and pattern based feature generation and engineering. The last three chapters discuss feature engineering for social bot detection, software management, and Twitter-based applications respectively.
This book can be used as a reference for data analysts, big data scientists, data preprocessing workers, project managers, project developers, prediction modelers, professors, researchers, graduate students, and upper level undergraduate students. It can also be used as the primary text for courses on feature engineering, or as a supplement for courses on machine learning, data mining, and big data analytics.
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