Black Science Premiere Vol. 1: The Beginners Guide To Entropy PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Black Science Premiere Vol. 1: The Beginners Guide To Entropy PDF full book. Access full book title Black Science Premiere Vol. 1: The Beginners Guide To Entropy by Rick Remender. Download full books in PDF and EPUB format.
Author: Rick Remender
Publisher: Image Comics
ISBN: 153430021X
Category : Comics & Graphic Novels
Languages : en
Pages : 473
Get Book Here
Book Description
Collecting the first three arcs of the seminal pulp sci-fi smash hit by jive-ass super powered disco dancers RICK REMENDER and MATTEO SCALERA. Crammed with sketches, concept art and other rare goodies in a glorious deluxe edition, truly the most incredible edition of BLACK SCIENCE in all the Eververse. Collects BLACK SCIENCE #1-16.
Author: Rick Remender
Publisher: Image Comics
ISBN: 153430021X
Category : Comics & Graphic Novels
Languages : en
Pages : 473
Get Book Here
Book Description
Collecting the first three arcs of the seminal pulp sci-fi smash hit by jive-ass super powered disco dancers RICK REMENDER and MATTEO SCALERA. Crammed with sketches, concept art and other rare goodies in a glorious deluxe edition, truly the most incredible edition of BLACK SCIENCE in all the Eververse. Collects BLACK SCIENCE #1-16.
Author: Don S. Lemons
Publisher: Cambridge University Press
ISBN: 1107470048
Category : Science
Languages : en
Pages : 195
Get Book Here
Book Description
Striving to explore the subject in as simple a manner as possible, this book helps readers understand the elusive concept of entropy. Innovative aspects of the book include the construction of statistical entropy from desired properties, the derivation of the entropy of classical systems from purely classical assumptions, and a statistical thermodynamics approach to the ideal Fermi and ideal Bose gases. Derivations are worked through step-by-step and important applications are highlighted in over 20 worked examples. Around 50 end-of-chapter exercises test readers' understanding. The book also features a glossary giving definitions for all essential terms, a time line showing important developments, and list of books for further study. It is an ideal supplement to undergraduate courses in physics, engineering, chemistry and mathematics.
Author: Don Lemons
Publisher:
ISBN:
Category :
Languages : en
Pages : 200
Get Book Here
Book Description
Striving to explore the subject in as simple a manner as possible, this book helps readers understand the elusive concept of entropy. Innovative aspects of the book include the construction of statistical entropy from desired properties, the derivation of the entropy of classical systems from purely classical assumptions, and a statistical thermodynamics approach to the ideal Fermi and ideal Bose gases. Derivations are worked through step-by-step and important applications are highlighted in over 20 worked examples. Around 50 end-of-chapter exercises test readers' understanding. The book also features a glossary giving definitions for all essential terms, a time line showing important developments, and list of books for further study. It is an ideal supplement to undergraduate courses in physics, engineering, chemistry and mathematics.
Author: Dwight Mix
Publisher:
ISBN: 9781508567684
Category :
Languages : en
Pages : 64
Get Book Here
Book Description
Entropy, like energy, is a concept. It is not something you can hold in your hand. Yet it is the driving force of nature and it can be expressed in several different ways. It applies to astronomy, quantum mechanics, and everything in between. It has application to system design, pattern recognition, data compression, and communication systems. The purpose of this short book is to explain, hopefully in clear language, what entropy is and how to apply it.
Author: Ghulam Yasin
Publisher: Elsevier
ISBN: 0443221413
Category : Technology & Engineering
Languages : en
Pages : 596
Get Book Here
Book Description
High-Entropy Alloys: Design, Manufacturing, and Emerging Applications presents cutting-edge advances in the field of these materials, covering their mechanics, methods of manufacturing, and applications, all while emphasizing the link between their structure/microstructure and functional properties. The book starts with a section on the fundamentals of high-entropy alloys (HEAs), with chapters discussing their thermodynamics, subgroups (transition metal; refractory; ceramics; metallic glasses and more), physical metallurgy, and microstructural characterization. The next section features chapters which look at manufacturing processes of HEAs, such as liquid metallurgy synthesis, in-situ synthesis, additive manufacturing, machine learning, friction stir welding, and fabrication of coatings for HEAs. The final section of the book covers applications of these materials, including their use as irradiation-resistant structural materials, catalyst materials, electrode materials, HEAs for solid hydrogen storage, and more. The book is a key resource for academic researchers, grad students, and industry professionals working with HEAs across a range of disciplines and applications including aerospace, functional materials, catalyst materials, gas storage, sensing, super-conducting materials, biomedical, civil engineering, energy storage, and energy materials. Covers the mechanics, manufacturing, and applications of functionally-oriented high-entropy alloys (HEAs) Discusses the metallurgical composition of HEAs, their microstructural characterization, thermal stability, and how to manufacture them via powder metallurgy, additive manufacturing, and friction stir welding Reviews applications of HEAs such as for irradiation-resistant structural materials, in biomedical settings, as catalyst materials, for solid hydrogen storage, and more
Author: Indranath Chatterjee
Publisher: Bentham Science Publishers
ISBN: 1681089416
Category : Computers
Languages : en
Pages : 360
Get Book Here
Book Description
Machine Learning and Its Application: A Quick Guide for Beginners aims to cover most of the core topics required for study in machine learning curricula included in university and college courses. The textbook introduces readers to central concepts in machine learning and artificial intelligence, which include the types of machine learning algorithms and the statistical knowledge required for devising relevant computer algorithms. The book also covers advanced topics such as deep learning and feature engineering. Key features: - 8 organized chapters on core concepts of machine learning for learners - Accessible text for beginners unfamiliar with complex mathematical concepts - Introductory topics are included, including supervised learning, unsupervised learning, reinforcement learning and predictive statistics - Advanced topics such as deep learning and feature engineering provide additional information - Introduces readers to python programming with examples of code for understanding and practice - Includes a summary of the text and a dedicated section for references Machine Learning and Its Application: A Quick Guide for Beginners is an essential book for students and learners who want to understand the basics of machine learning and equip themselves with the knowledge to write algorithms for intelligent data processing applications.
Author: Rick Remender
Publisher: Image Comics
ISBN:
Category : Comics & Graphic Novels
Languages : en
Pages : 32
Get Book Here
Book Description
The last surviving Dimensionaut delves deeper into the beating heart of the Godworld to uncover the secrets of the Eververse, and a lurking shadow of his own past.
Author: William Sullivan
Publisher: PublishDrive
ISBN:
Category : Computers
Languages : en
Pages : 150
Get Book Here
Book Description
Python Machine Learning Illustrated Guide For Beginners & Intermediates Machines Can Learn ?! Automation and systematization is taking over the world. Slowly but surely we continuously see the rapid expansion of artificial intelligence, self-check out cash registers, automated phone lines, people-less car-washes , etc. The world is changing, find out how python programming ties into machine learning so you don't miss out on this next big trend! This is your beginner's step by step guide with illustrated pictures! Let's face it, machine learning is here to stay for the foreseeable future and will impact the lives billions worldwide! Drastically changing the world we live in the most fundamental ways, from our perceptions, life-style, thinking and in other aspects as well. What You Will Learn Linear & Polynomial Regression Support Vector Machines Decision Trees Random Forest KNN Algorithm Naive Bayes Algorithm Unsupervised Learning Clustering Cross Validation Grid Search And, much, much more! If you want to learn more about python machine learning it is highly recommended you start from the ground up by using this book. Normally books on this subject matter are expensive! Why not start off by making a small and affordable investment with your illustrated beginners guide that walks you through python machine learning step by step Why choose this book? Addresses Fundamental Concepts Goes Straight To The Point, uNo fluff or Nonsense Practical Examples High Quality Diagrams "Noob friendly" (Good For Beginners & Intermediates) Contains Various Aspects of Machine Learning Endorses Learn "By Doing Approach" Concise And To The Point I been working tirelessly to provide you quality books at an affordable price. I believe this book will give you the confidence to tackle python machine learning at a fundamental level. What are you waiting for? Make the greatest investment in YOUR knowledge base right now. Buy your copy now!
Author: Shaun Best
Publisher: SAGE
ISBN: 9780761965336
Category : Philosophy
Languages : en
Pages : 292
Get Book Here
Book Description
Offering a comprehensive overview of social theory from classical sociology to the present day, this text guides students through the work of Durkheim, Marx and Weber, feminism, postmodernism and contemporary thinkers like Foucault.
Author: Aaron Koenig
Publisher: FinanzBuch Verlag
ISBN: 3862488772
Category : Business & Economics
Languages : en
Pages : 173
Get Book Here
Book Description
In 1976, Nobel Prize Laureate Friedrich August von Hayek called for the abolishment of the state monopoly on money and the introduction of freely competing currencies. Few people could imagine such a free market of money at the time. Today the denationalization of money is in full swing: digital currencies like Bitcoin are fully independent of banks and governments. This book explains the phenomenon of decentralized, stateless money in an easily understandable and entertaining way. It also provides a basic insight into the Austrian School of Economics. The Austrian School's most prominent masterminds, Ludwig von Mises, Friedrich August von Hayek and Murry N. Rothbard, have explained why we must overcome our present debt-based monetary system, which widens the gap between the rich and the poor. Bitcoin is the world's first global payment system that is open to anyone on this planet with Internet access. Payments are cheap, fast and cannot be blocked. With interviews of Bitcoin experts Roger Ver – Stephanie Murphy – Moran Shaked – Eddy Travia – Julia Touranski – Marek Palatinus – David Johnston – Susanne Tarkowski Tempelhof – Satoshi Nakamoto.
