Raising Chickens for Eggs For Beginners How to keep chickens Raising Chickens for Eggs For Beginners
English | 2021 | ASIN : B09DKST78L | 60 pages | PDF, AZW3, EPUB, MOBI | 32.57 MB
You want to eat fresh eggs on a daily basis. Are you considering keeping hens in your backyard?
Keeping chickens might be intimidating, especially if you've never done it before, but it's actually pretty simple. It's only normal to feel as though your mind is suddenly flooded with inquiries and concerns.- "what do chickens eat?", "where do I keep chickens?", "how to rasie chickens?", "how to build a chicken coop" and more.This book is a fantastic choice for you since it contains all of the information you need to keep your hens, build a chicken coop, and grow chickens.
English | 2021 | ASIN : B09DP942FR | 135 pages | PDF, AZW3, EPUB, MOBI | 13.95 MB
Would you like to understand what quantum physics is and what impact it has on your life?
Are you interested in discovering what physicists have found so essential and shocking?
English | 2021 | ISBN: 1119715172 | 499 pages | True (PDF EPUB) | 67.42 MB
QUANTILE REGRESSIONA thorough presentation of Quantile Regression designed to help readers obtain richer information from data analyses
The conditional least-square or mean-regression (MR) analysis is the quantitative research method used to model and analyze the relationships between a dependent variable and one or more independent variables, where each equation estimation of a regression can give only a single regression function or fitted values variable. As an advanced mean regression analysis, each estimation equation of the mean-regression can be used directly to estimate the conditional quantile regression (QR), which can quickly present the statistical results of a set nine QR(τ)s for τ(tau)s from 0.1 up to 0.9 to predict detail distribution of the response or criterion variable. QR is an important analytical tool in many disciplines such as statistics, econometrics, ecology, healthcare, andengineering.
English | 2021 | ISBN: 9781098108854 | 38 pages | PDF,EPUB | 1.59 MB
Q# is a domain-specific language for quantum programming that combines familiar "classical" language constructs with quantum-specific ones. Ideal for any developer familiar with--or willing to learn--the basics of quantum computing, this pocket guide quickly helps you find syntax and usage information for unfamiliar aspects of Q#.
You'll explore the quantum software development lifecycle, from implementing the program to testing and debugging it to running it on quantum hardware, and you'll learn to use the tools provided by Microsoft's Quantum Development Kit for each step of the process.
English | 2021 | ISBN: 1484273249 | 275 pages | pdf, epub | 30.32 MB
Learn best practices and the proper use of Azure management tools, such as Azure Portal, Azure PowerShell, Azure CLI, and ARM templates, which are time-saving tools that support daily administration tasks such as monitoring, alerting, backups, security, and more. This bookexplores common Azure services, including Azure networking, virtual machines, app services, backup, monitoring, and other tools of the trade that IT professionals use on a regular basis. And you will come away with a strong understanding of these services and how to use them.
While Microsoft Azure is no longer "the new cloud on the block," it continues to be one of the fastest-growing platforms with regard to features, integrations, and capabilities. Over the last decade, it has undergone significant changes and amassed a large following, but many of its users, especially those who transitioned from traditional admin tasks to modern cloud computing, are not reaping its full benefits. Management in the cloud, while seemingly simpler in some ways, is not without its own set of complexities and headaches. Admins want to streamline it where it makes sense and allocate the right resources to the right job in order to keeps cost in check, but where does one begin?
English | 2021 | ISBN: 1098102363 | 481 pages | True PDF | 56.15 MB
This practical book shows you how to employ machine learning models to extract information from images. ML engineers and data scientists will learn how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques. This book provides a great introduction to end-to-end deep learning: dataset creation, data preprocessing, model design, model training, evaluation, deployment, and interpretability.
Google engineers Valliappa Lakshmanan, Martin Görner, and Ryan Gillard show you how to develop accurate and explainable computer vision ML models and put them into large-scale production using robust ML architecture in a flexible and maintainable way. You'll learn how to design, train, evaluate, and predict with models written in TensorFlow or Keras.
English | 2021 | ASIN : B09DL8Y5GZ | 135 pages | PDF, AZW3, EPUB, MOBI | 6.77 MB
Do you wish you could be able to do basic to intermediate plumbing works around your home or RV so you don't have to call a plumber even for the smallest of plumbing problems, which you end up unnecessarily too much?
And are you looking for a guide that will help you know what plumbing skills you need to develop (based on some of the common plumbing problems) and so as to be self-sufficient as far as common, basic, plumbing works are required?
English | 2021 | ASIN : B09DKS22YL | 314 pages | PDF, AZW3, EPUB, MOBI | 15.85 MB
This text is an introduction to the complex and emerging world of the Parallel and Distributed Computing. It helps you understand the principles and acquire the practical skills of MPI programming using the C/FORTAN programming language. My aim is for you to gain sufficient knowledge and experience to perform simple useful programming tasks using the best up-to-date techniques and so we hope for it to be the easiest book from which you can learn the basics of MPI programming. It helps you understand the principles, algorithm & implementation of Parallel and Distributed Computing.
This book is emphatically focused on the concept. Understanding the fundamental ideas, principles, and techniques is the essence of a good programmer. Only well-designed code has a chance of becoming part of a correct, reliable, and maintainable parallel system. Through this book, I hope that you will see the absolute necessity of understanding Parallel and Distributed Computing.
English | 2021 | ISBN: 0750326220 | 312 pages | True PDF | 24.7 MB
Optical Radiation and Matterprovides a deeper look at electricity and magnetism and the interaction of optical radiation with molecules and solid materials. The focus is on developing an understanding of the sources of light, how light moves through matter, and how external electric and magnetic fields can influence the way light waves propagate through materials.
Classroom tested for over 30 years and now revised and expanded, this textbook provides introductory chapters reviewing the basics before moving into more advanced topics. With an introduction, worked examples, and end-of-chapter problems for each chapter, this textbook is suitable for readers with a background in electricity and magnetism at an advanced undergraduate level and will complement any course on advanced electricity and magnetism, electro-optics, and radiation and matter.
English | 2021 | ISBN: 1484273508 | 302 pages | pdf, epub | 11.59 MB
Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization, sentiment analysis, information retrieval, and many more applications of NLP.
The book begins with text data collection, web scraping, and the different types of data sources. It explains how to clean and pre-process text data, and offers ways to analyze data with advanced algorithms. You then explore semantic and syntactic analysis of the text. Complex NLP solutions that involve text normalization are covered along with advanced pre-processing methods, POS tagging, parsing, text summarization, sentiment analysis, word2vec, seq2seq, and much more. The book presents the fundamentals necessary for applications of machine learning and deep learning in NLP. This second edition goes over advanced techniques to convert text to features such as Glove, Elmo, Bert, etc. It also includes an understanding of how transformers work, taking sentence BERT and GPT as examples. The final chapters explain advanced industrial applications of NLP with solution implementation and leveraging the power of deep learning techniques for NLP problems. It also employs state-of-the-art advanced RNNs, such as long short-term memory, to solve complex text generation tasks.