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41位
¥29,800 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞The replacement of the single tooth with a dental implant is one of the most common clinical situations practitioners face on a daily basis. While in the past sockets were left untouched for months after tooth extraction before attending to the residual ridge, today it is possible to perform "one surgery, one time," which is a huge benefit to both the patient and clinician alike. Written by two world-class masters, this book begins with a discussion of the history and rationale for anterior and posterior single-tooth implants, and then it walks the reader through the three types of socketsーtype 1, type 2, and type 3ーand their various indications and limitations. An entire chapter is devoted to clinical management of posterior teeth, followed by a chapter on cementation and impression-making techniques and complications. The final chapter is a clinical case appendix detailing 11 cases of single-tooth replacement in all types of sockets previously described. The protocols showcased in this book will make patient care faster, easier, simpler, more predictable, and, in many cases, less costly.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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42位
¥9,602 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞During the twentieth century, genes were considered the controlling force of life processes, and the transfer of DNA the definitive explanation for biological heredity. Such views shaped the politics of human heredity: in the eugenic era, controlling heredity meant intervening in the distribution of "good" and "bad" genes. However, since the turn of the twenty-first century, this centrality of genes has been challenged by a number of "postgenomic" disciplines. The rise of epigenetics in particular signals a shift from notions of biological fixedness to ideas of plasticity and "impressionability" of biological material.＜/p＞ ＜p＞This book investigates a long history of the beliefs about the plasticity of human biology, starting with ancient medicine, and analyses the biopolitical techniques required to govern such permeability. It looks at the emergence of the modern body of biomedicine as a necessary displacement or possibly reconfiguration of earlier plastic views. Finally, it analyses the returning of plasticity to contemporary postgenomic views and argues that postgenomic plasticity is neither a modernistic plasticity of instrumental management of the body nor a postmodernist celebration of potentialities. It is instead a plasticity that disrupts clear boundaries between openness and determination, individual and community, with important implications for notions of risk, responsibility and intervention.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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43位
¥3,890 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞In 2016, Google???s ＜em＞Site Reliability Engineering＜/em＞ book ignited an industry discussion on what it means to run production services today???and why reliability considerations are fundamental to service design. Now, Google engineers who worked on that bestseller introduce ＜em＞The Site Reliability Workbook＜/em＞, a hands-on companion that uses concrete examples to show you how to put SRE principles and practices to work in your environment.＜/p＞ ＜p＞This new workbook not only combines practical examples from Google???s experiences, but also provides case studies from Google???s Cloud Platform customers who underwent this journey. Evernote, The Home Depot, ＜em＞The New York Times＜/em＞, and other companies outline hard-won experiences of what worked for them and what didn???t.＜/p＞ ＜p＞Dive into this workbook and learn how to flesh out your own SRE practice, no matter what size your company is.＜/p＞ ＜p＞You???ll learn:＜/p＞ ＜ul＞ ＜li＞How to run reliable services in environments you don???t completely control???like cloud＜/li＞ ＜li＞Practical applications of how to create, monitor, and run your services via Service Level Objectives＜/li＞ ＜li＞How to convert existing ops teams to SRE???including how to dig out of operational overload＜/li＞ ＜li＞Methods for starting SRE from either greenfield or brownfield＜/li＞ ＜/ul＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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44位
¥32,800 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞Many books include an inherent bias: The authors specialize in a certain beloved technique and attempt to apply this technique to multiple clinical situations while glorifying the successes and dismissing the failures. Or it is written by researchers so wrapped up in science and academia that they forget what it really means to run a dental practice and deal with patients day-to-day. This book is different. The authors have many decades of both academic and clinical experience and have set out to produce a clear, impartial, and rational text to address new concepts and techniques that affect daily clinical practice. Treatments (including their limitations) are described, including many controversial techniques and clinical issues not previously described in the literature. The chapter layout is presented logically and in sequence to address the different specialties in an organized and contextualized way. A comprehensive background is provided to allow readers to determine for themselves ? rather than be told ? how to best develop a sound clinical work.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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45位
¥1,687 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞＜strong＞Understanding maths has never been easier.＜/strong＞＜/p＞ ＜p＞Combining bold, elegant graphics with easy-to-understand text, Simply Maths is the perfect introduction to the subject for those who are short of time but hungry for knowledge.＜/p＞ ＜p＞Covering more than 90 key mathematical concepts from prime numbers and fractions to quadratic equations and probability experiments, each pared-back, single-page entry explains the concept more clearly than ever before.＜/p＞ ＜p＞Organized by major themes - number theory and systems; calculations; geometry; algebra; graphs; ratio and proportion; measurement; probability and statistics; and calculus - entries explain the essentials of each key mathematical theory with simple clarity and for ease of understanding.＜/p＞ ＜p＞Whether you are studying maths at school or college, or simply want a jargon-free overview of the subject, this indispensable guide is packed with everything you need to understand the basics quickly and easily.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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46位
¥10,310 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞Trust the best-selling Official Cert Guide series from Cisco Press to help you learn, prepare, and practice for the CCNP Enterprise Wireless ENWLSD 300-425 and ENWLSI 300-430 exams. Well regarded for its level of detail, study plans, assessment features, and challenging review questions and exercises, ＜em＞CCNP Enterprise Wireless Design ENWLSD 300-425 and Implementation ENWLSI 300-430 Official Cert Guide＜/em＞, Second Edition, helps you master the concepts and techniques that ensure your exam success and is the only self-study resource approved by Cisco. Expert authors Jerome Henry and David Hucaby share preparation hints and test-taking tips, helping you identify areas of weakness, and improve both your conceptual knowledge and hands-on skills.＜/p＞ ＜p＞This complete study package includes:＜/p＞ ＜ul＞ ＜li＞A test-preparation routine proven to help you pass the exam＜/li＞ ＜li＞Do I Know This Already? quizzes, which allow you to decide how much time you need to spend on each section＜/li＞ ＜li＞Exam Topic lists that make referencing easy＜/li＞ ＜li＞Chapter-ending exercises, which help you drill on key concepts you must know thoroughly＜/li＞ ＜li＞The powerful ＜strong＞Pearson Test Prep Practice Test＜/strong＞ software, complete with hundreds of well-reviewed, exam-realistic questions, customization options, and detailed performance reports＜/li＞ ＜li＞An online ＜strong＞Flash Cards application＜/strong＞ to help you drill on Key Terms by chapter＜/li＞ ＜li＞A final preparation chapter, which guides you through tools and resources to help you craft your review and test-taking strategies＜/li＞ ＜li＞Study plan suggestions and templates to help you organize and optimize your study time＜/li＞ ＜/ul＞ ＜p＞＜strong＞Content Update Program:＜/strong＞＜/p＞ ＜p＞This fully updated second edition includes the latest topics and additional information covering changes to the latest ENWLSD 300-425 and ENWLSI 300-430 exams. Visit ciscopress.com/newcerts for information on annual digital updates for this book that align to Cisco exam blueprint version changes.＜/p＞ ＜p＞This official study guide helps you master all the topics on the CCNP Enterprise Wireless ENWLSD 300-425 and ENWLSI 300-430 exams, including＜/p＞ ＜ul＞ ＜li＞Wireless Site Survey＜/li＞ ＜li＞Wired and Wireless Infrastructure＜/li＞ ＜li＞Mobility＜/li＞ ＜li＞WLAN High Availability＜/li＞ ＜li＞FlexConnect＜/li＞ ＜li＞QoS on a Wireless Network＜/li＞ ＜li＞Multicast＜/li＞ ＜li＞Location Services and Advanced Location Services＜/li＞ ＜li＞Security for Wireless Client Connectivity＜/li＞ ＜li＞Monitoring＜/li＞ ＜li＞Device Hardening＜/li＞ ＜/ul＞ ＜p＞＜strong＞Companion Website:＜/strong＞＜/p＞ ＜p＞The companion website contains more than 350 unique practice exam questions, practice exercises, a study planner, and online flash cards.＜/p＞ ＜p＞＜strong＞Pearson Test Prep online system requirements:＜/strong＞＜/p＞ ＜p＞Browsers: Microsoft Edge 90 and above, Chrome version 105 and above, and Safari version 13 and above.＜/p＞ ＜p＞Devices: Desktop and laptop computers, tablets running Android v10.0 and above or iPad OS v14 and above, smartphones running Android v10.0 and above or iOS v14 and above with a minimum screen size of 4.7". Internet access required.＜/p＞ ＜p＞＜strong＞Pearson Test Prep offline system requirements:＜/strong＞＜/p＞ ＜p＞Windows 11, Windows 10, Windows 8.1; Microsoft .NET Framework 4.5 Client; Pentium-class 1 GHz processor (or equivalent); 512 MB RAM; 650 MB disk space plus 50 MB for each downloaded practice exam; access to the Internet to register and download exam databases＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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47位
¥4,868 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞＜strong＞Build a solid foundation in algorithmic trading by developing, testing and executing powerful trading strategies with real market data using Python＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Build a strong foundation in algorithmic trading by becoming well-versed with the basics of financial markets＜/li＞ ＜li＞Demystify jargon related to understanding and placing multiple types of trading orders＜/li＞ ＜li＞Devise trading strategies and increase your odds of making a profit without human intervention＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞If you want to find out how you can build a solid foundation in algorithmic trading using Python, this cookbook is here to help.＜/p＞ ＜p＞Starting by setting up the Python environment for trading and connectivity with brokers, you'll then learn the important aspects of financial markets. As you progress, you'll learn to fetch financial instruments, query and calculate various types of candles and historical data, and finally, compute and plot technical indicators. Next, you'll learn how to place various types of orders, such as regular, bracket, and cover orders, and understand their state transitions. Later chapters will cover backtesting, paper trading, and finally real trading for the algorithmic strategies that you've created. You'll even understand how to automate trading and find the right strategy for making effective decisions that would otherwise be impossible for human traders.＜/p＞ ＜p＞By the end of this book, you'll be able to use Python libraries to conduct key tasks in the algorithmic trading ecosystem.＜/p＞ ＜p＞Note: For demonstration, we're using Zerodha, an Indian Stock Market broker. If you're not an Indian resident, you won't be able to use Zerodha and therefore will not be able to test the examples directly. However, you can take inspiration from the book and apply the concepts across your preferred stock market broker of choice.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Use Python to set up connectivity with brokers＜/li＞ ＜li＞Handle and manipulate time series data using Python＜/li＞ ＜li＞Fetch a list of exchanges, segments, financial instruments, and historical data to interact with the real market＜/li＞ ＜li＞Understand, fetch, and calculate various types of candles and use them to compute and plot diverse types of technical indicators＜/li＞ ＜li＞Develop and improve the performance of algorithmic trading strategies＜/li＞ ＜li＞Perform backtesting and paper trading on algorithmic trading strategies＜/li＞ ＜li＞Implement real trading in the live hours of stock markets＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞If you are a financial analyst, financial trader, data analyst, algorithmic trader, trading enthusiast or anyone who wants to learn algorithmic trading with Python and important techniques to address challenges faced in the finance domain, this book is for you. Basic working knowledge of the Python programming language is expected. Although fundamental knowledge of trade-related terminologies will be helpful, it is not mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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48位
¥6,014 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞＜strong＞Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and Keras＜/strong＞＜/p＞ ＜h4＞Key Features＜/h4＞ ＜ul＞ ＜li＞Implement machine learning algorithms to build, train, and validate algorithmic models＜/li＞ ＜li＞Create your own algorithmic design process to apply probabilistic machine learning approaches to trading decisions＜/li＞ ＜li＞Develop neural networks for algorithmic trading to perform time series forecasting and smart analytics＜/li＞ ＜/ul＞ ＜h4＞Book Description＜/h4＞ ＜p＞The explosive growth of digital data has boosted the demand for expertise in trading strategies that use machine learning (ML). This book enables you to use a broad range of supervised and unsupervised algorithms to extract signals from a wide variety of data sources and create powerful investment strategies.＜/p＞ ＜p＞This book shows how to access market, fundamental, and alternative data via API or web scraping and offers a framework to evaluate alternative data. You'll practice the ML workflow from model design, loss metric definition, and parameter tuning to performance evaluation in a time series context. You will understand ML algorithms such as Bayesian and ensemble methods and manifold learning, and will know how to train and tune these models using pandas, statsmodels, sklearn, PyMC3, xgboost, lightgbm, and catboost. This book also teaches you how to extract features from text data using spaCy, classify news and assign sentiment scores, and to use gensim to model topics and learn word embeddings from financial reports. You will also build and evaluate neural networks, including RNNs and CNNs, using Keras and PyTorch to exploit unstructured data for sophisticated strategies.＜/p＞ ＜p＞Finally, you will apply transfer learning to satellite images to predict economic activity and use reinforcement learning to build agents that learn to trade in the OpenAI Gym.＜/p＞ ＜h4＞What you will learn＜/h4＞ ＜ul＞ ＜li＞Implement machine learning techniques to solve investment and trading problems＜/li＞ ＜li＞Leverage market, fundamental, and alternative data to research alpha factors＜/li＞ ＜li＞Design and fine-tune supervised, unsupervised, and reinforcement learning models＜/li＞ ＜li＞Optimize portfolio risk and performance using pandas, NumPy, and scikit-learn＜/li＞ ＜li＞Integrate machine learning models into a live trading strategy on Quantopian＜/li＞ ＜li＞Evaluate strategies using reliable backtesting methodologies for time series＜/li＞ ＜li＞Design and evaluate deep neural networks using Keras, PyTorch, and TensorFlow＜/li＞ ＜li＞Work with reinforcement learning for trading strategies in the OpenAI Gym＜/li＞ ＜/ul＞ ＜h4＞Who this book is for＜/h4＞ ＜p＞Hands-On Machine Learning for Algorithmic Trading is for data analysts, data scientists, and Python developers, as well as investment analysts and portfolio managers working within the finance and investment industry. If you want to perform efficient algorithmic trading by developing smart investigating strategies using machine learning algorithms, this is the book for you. Some understanding of Python and machine learning techniques is mandatory.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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49位
¥21,800 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞There is no one way to approach immediate implant placement in molar sites, but each technique has the same prerequisites: careful case selection and planning, good working knowledge of anatomy and bone biology, expertise in localized and indirect sinus floor elevations, and knowing when and how to use particulate bone grafting. But even with such knowledge, clinicians still need guidelines to show them how to achieve predictable success. This book is that guide. It brings together clinical experts in the field who having been leading the research on immediate molar implants over the last decade and it describes the current best practices to ensure implant success. Emphasis is placed on assessment of the implant site, particularly regarding classification of the molar septum bone, and how to achieve optimal implant positioning within the molar socket. The role of digital treatment planning and guided surgery is discussed, as are application of bone grafts and other biomaterials to enhance healing. Immediate molar implants have become a more viable treatment option than ever before, and this book will help clinicians move forward with confidence.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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50位
¥4,868 円
評価: 0
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楽天Kobo電子書籍ストア
＜p＞Build real-world artificial intelligence apps on AWS to overcome challenges faced by healthcare providers and payers, as well as pharmaceutical, life sciences research, and commercial organizations Key Features ? Learn about healthcare industry challenges and how machine learning can solve them ? Explore AWS machine learning services and their applications in healthcare and life sciences ? Discover practical coding instructions to implement machine learning for healthcare and life sciences Book Description While machine learning is not new, it's only now that we are beginning to uncover its true potential in the healthcare and life sciences industry. The availability of real-world datasets and access to better compute resources have helped researchers invent applications that utilize known AI techniques in every segment of this industry, such as providers, payers, drug discovery, and genomics. This book starts by summarizing the introductory concepts of machine learning and AWS machine learning services. You'll then go through chapters dedicated to each segment of the healthcare and life sciences industry. Each of these chapters has three key purposes -- First, to introduce each segment of the industry, its challenges, and the applications of machine learning relevant to that segment. Second, to help you get to grips with the features of the services available in the AWS machine learning stack like Amazon SageMaker and Amazon Comprehend Medical. Third, to enable you to apply your new skills to create an ML-driven solution to solve problems particular to that segment. The concluding chapters outline future industry trends and applications. By the end of this book, you'll be aware of key challenges faced in applying AI to healthcare and life sciences industry and learn how to address those challenges with confidence. What you will learn ? Explore the healthcare and life sciences industry ? Find out about the key applications of AI in different industry segments ? Apply AI to medical images, clinical notes, and patient data ? Discover security, privacy, fairness, and explainability best practices ? Explore the AWS ML stack and key AI services for the industry ? Develop practical ML skills using code and AWS services ? Discover all about industry regulatory requirements Who this book is for This book is specifically tailored toward technology decision-makers, data scientists, machine learning engineers, and anyone who works in the data engineering role in healthcare and life sciences organizations. Whether you want to apply machine learning to overcome common challenges in the healthcare and life science industry or are looking to understand the broader industry AI trends and landscape, this book is for you. This book is filled with hands-on examples for you to try as you learn about new AWS AI concepts.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちら をクリックして下さい。 ※このページからは注文できません。
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