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Mastering Mathematics for WJEC GCSE Practice Book: Intermediate ( PDF)
by Keith Pledger Gareth Cole Joe Petran Linda MasonProvide structured support and extra practice with differentiated questions that focus on reasoning and problem-solving building the exam skills needed to succeed in the new GCSE specifications; developed by a team of expert authors with examining experience. - Develops confidence and supports independent learning with graduated exercises for each unit. - Builds fluency, problem-solving and reasoning skills with exam-style questions that build on previous learning. - Provides full coverage of the GCSE grade range with three books - matching the student books - meaning that content is focused at the right level for each student
Mastering Mathematics for WJEC GCSE Practice Book: Foundation
by Keith Pledger Gareth Cole Joe Petran Linda MasonExam Board: WJECLevel: GCSESubject: MathematicsFirst Teaching: September 2015First Exam: Summer 2017Provide structured support and extra practice with differentiated questions that focus on reasoning and problem-solving building the exam skills needed to succeed in the new GCSE specifications; developed by a team of expert authors with examining experience.- Develops confidence and supports independent learning with graduated exercises for each unit.- Builds fluency, problem-solving and reasoning skills with exam-style questions that build on previous learning.- Provides full coverage of the GCSE grade range with three books - matching the student books - meaning that content is focused at the right level for each student.
Mastering Mathematics - Geometry & Measures (PDF)
by VariousDeliver outstanding lessons that build fluency, problem-solving and mathematical reasoning skills to enable sustained progress at Key Stage 3, in preparation for GCSE. Mastering Mathematics provides flexible online and print teaching and learning resources. The service focuses on strands within the curriculum to improve progression throughout Secondary Mathematics . Mastering Mathematics Student Books and Whiteboard eTextbooks are organised into progression strands in line with Mastering Mathematics Teaching and Learning Resources: - Enable students to identify appropriate remediation or extension steps they need in order to progress, through easy to follow progression charts - Clear explanations of the tools needed for the chapter followed by questions that develop fluency, reasoning and problem-solving in order to ensure transferability of skills - Show band of difficulty for each chapter and links with other areas of maths throughout the books so students know how they are doing and what they need to learn next
Mastering Mathematics - Number (PDF)
by Roger PorkessMastering Mathematics provides flexible online and print teaching and learning resources. The service focuses on strands within the curriculum to improve progression throughout Secondary Mathematics. Mastering Mathematics Student Books and Whiteboard eTextbooks are organised into progression strands in line with Mastering Mathematics Teaching and Learning Resources.
Mastering Mathematics OCR GCSE Practice Book: Foundation 1 (PDF)
by Keith Pledger Gareth Cole Joe PetranProvide structured support and extra practice with differentiated questions that focus on reasoning and problem-solving building the exam skills needed to succeed in the new GCSE specifications; developed by a team of expert authors with examining experience. - Develops confidence and supports independent learning with graduated exercises for each unit. - Builds fluency, problem-solving and reasoning skills with exam-style questions that build on previous learning. - Provides full coverage of the GCSE grade range with three books - matching the student books - meaning that content is focused at the right level for each student.
Mastering Mathematics OCR GCSE Practice Book: Higher 2 Ebook
by Keith Pledger Gareth Cole Joe PetranExam Board: OCRLevel: GCSESubject: MathematicsFirst Teaching: September 2015First Exam: Summer 2017Provide structured support and extra practice with differentiated questions that focus on reasoning and problem-solving building the exam skills needed to succeed in the new GCSE specifications; developed by a team of expert authors with examining experience.- Develops confidence and supports independent learning with graduated exercises for each unit.- Builds fluency, problem-solving and reasoning skills with exam-style questions that build on previous learning.- Provides full coverage of the GCSE grade range with three books - matching the student books - meaning that content is focused at the right level for each student.
Mastering Mathematics (PDF)
by Keith Pledger Gareth Cole Joe PetranProvide structured support and extra practice with differentiated questions that focus on reasoning and problem-solving building the exam skills needed to succeed in the new GCSE specifications; developed by a team of expert authors with examining experience. - Develops confidence and supports independent learning with graduated exercises for each unit. - Builds fluency, problem-solving and reasoning skills with exam-style questions that build on previous learning. - Provides full coverage of the GCSE grade range with three books - matching the student books - meaning that content is focused at the right level for each student.
Mastering Mathematics - Statistics & Probability (PDF)
by VariousMastering Mathematics provides flexible online and print teaching and learning resources. The service focuses on strands within the curriculum to improve progression throughout Secondary Mathematics. Mastering Mathematics Student Books and eBooks are organised into progression strands in line with Mastering Mathematics Teaching and Learning Resources: - Enable students to identify appropriate remediation or extension steps they need in order to progress, through easy to follow progression charts - Clear explanations of the tools needed for the chapter followed by questions that develop fluency, reasoning and problem-solving in order to ensure transferability of skills - Show band of difficulty for each chapter and links with other areas of maths throughout the books so students know how they are doing and what they need to learn next
Mastering ’Metrics: The Path from Cause to Effect
by Joshua D. Angrist Jörn-Steffen PischkeApplied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect.Shows why econometrics is importantExplains econometric research through humorous and accessible discussionOutlines empirical methods central to modern econometric practiceWorks through interesting and relevant real-world examples
Mastering ’Metrics: The Path from Cause to Effect
by Joshua D. Angrist Jörn-Steffen PischkeApplied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect.Shows why econometrics is importantExplains econometric research through humorous and accessible discussionOutlines empirical methods central to modern econometric practiceWorks through interesting and relevant real-world examples
Mastering 'Metrics: The Path from Cause to Effect
by Joshua D. Angrist Jörn-Steffen PischkeFrom Joshua Angrist, winner of the Nobel Prize in Economics, and Jörn-Steffen Pischke, an accessible and fun guide to the essential tools of econometric researchApplied econometrics, known to aficionados as 'metrics, is the original data science. 'Metrics encompasses the statistical methods economists use to untangle cause and effect in human affairs. Through accessible discussion and with a dose of kung fu–themed humor, Mastering 'Metrics presents the essential tools of econometric research and demonstrates why econometrics is exciting and useful.The five most valuable econometric methods, or what the authors call the Furious Five--random assignment, regression, instrumental variables, regression discontinuity designs, and differences in differences--are illustrated through well-crafted real-world examples (vetted for awesomeness by Kung Fu Panda's Jade Palace). Does health insurance make you healthier? Randomized experiments provide answers. Are expensive private colleges and selective public high schools better than more pedestrian institutions? Regression analysis and a regression discontinuity design reveal the surprising truth. When private banks teeter, and depositors take their money and run, should central banks step in to save them? Differences-in-differences analysis of a Depression-era banking crisis offers a response. Could arresting O. J. Simpson have saved his ex-wife's life? Instrumental variables methods instruct law enforcement authorities in how best to respond to domestic abuse.Wielding econometric tools with skill and confidence, Mastering 'Metrics uses data and statistics to illuminate the path from cause to effect.Shows why econometrics is importantExplains econometric research through humorous and accessible discussionOutlines empirical methods central to modern econometric practiceWorks through interesting and relevant real-world examples
Mastering Microsoft Endpoint Manager: Deploy And Manage Windows 10, Windows 11, And Windows 365 On Both Physical And Cloud Pcs
by Christiaan Brinkhoff Per Larsen Ken Pan Scott ManchesterDeploy and manage Windows 10, Windows 11, and Windows 365 on both physical and cloud PCs
Mastering Minimal Apis In Asp. Net Core: Build, Test, And Prototype Web Apis Quickly Using . Net And C#
by Andrea Tosato Marco Minerva Emanuele BartolesiBuild, test, and prototype web APIs quickly using .NET and C#
Mastering Modern Linux
by Paul S. WangPraise for the First Edition: "This outstanding book … gives the reader robust concepts and implementable knowledge of this environment. Graphical user interface (GUI)-based users and developers do not get short shrift, despite the command-line interface’s (CLI) full-power treatment. … Every programmer should read the introduction’s Unix/Linux philosophy section. … This authoritative and exceptionally well-constructed book has my highest recommendation. It will repay careful and recursive study." --Computing Reviews, August 2011 Mastering Modern Linux, Second Edition retains much of the good material from the previous edition, with extensive updates and new topics added. The book provides a comprehensive and up-to-date guide to Linux concepts, usage, and programming. The text helps the reader master Linux with a well-selected set of topics, and encourages hands-on practice. The first part of the textbook covers interactive use of Linux via the Graphical User Interface (GUI) and the Command-Line Interface (CLI), including comprehensive treatment of the Gnome desktop and the Bash Shell. Using different apps, commands and filters, building pipelines, and matching patterns with regular expressions are major focuses. Next comes Bash scripting, file system structure, organization, and usage. The following chapters present networking, the Internet and the Web, data encryption, basic system admin, as well as Web hosting. The Linux Apache MySQL/MariaDB PHP (LAMP) Web hosting combination is also presented in depth. In the last part of the book, attention is turned to C-level programming. Topics covered include the C compiler, preprocessor, debugger, I/O, file manipulation, process control, inter-process communication, and networking. The book includes many examples and complete programs ready to download and run. A summary and exercises of varying degrees of difficulty can be found at the end of each chapter. A companion website (http://mml.sofpower.com) provides appendices, information updates, an example code package, and other resources for instructors, as well as students.
Mastering Modern Linux, Second Edition
by Paul S. WangPraise for the First Edition: "This outstanding book … gives the reader robust concepts and implementable knowledge of this environment. Graphical user interface (GUI)-based users and developers do not get short shrift, despite the command-line interface’s (CLI) full-power treatment. … Every programmer should read the introduction’s Unix/Linux philosophy section. … This authoritative and exceptionally well-constructed book has my highest recommendation. It will repay careful and recursive study." --Computing Reviews, August 2011 Mastering Modern Linux, Second Edition retains much of the good material from the previous edition, with extensive updates and new topics added. The book provides a comprehensive and up-to-date guide to Linux concepts, usage, and programming. The text helps the reader master Linux with a well-selected set of topics, and encourages hands-on practice. The first part of the textbook covers interactive use of Linux via the Graphical User Interface (GUI) and the Command-Line Interface (CLI), including comprehensive treatment of the Gnome desktop and the Bash Shell. Using different apps, commands and filters, building pipelines, and matching patterns with regular expressions are major focuses. Next comes Bash scripting, file system structure, organization, and usage. The following chapters present networking, the Internet and the Web, data encryption, basic system admin, as well as Web hosting. The Linux Apache MySQL/MariaDB PHP (LAMP) Web hosting combination is also presented in depth. In the last part of the book, attention is turned to C-level programming. Topics covered include the C compiler, preprocessor, debugger, I/O, file manipulation, process control, inter-process communication, and networking. The book includes many examples and complete programs ready to download and run. A summary and exercises of varying degrees of difficulty can be found at the end of each chapter. A companion website (http://mml.sofpower.com) provides appendices, information updates, an example code package, and other resources for instructors, as well as students.
Mastering NLP from Foundations to LLMs: Apply advanced rule-based techniques to LLMs and solve real-world business problems using Python
by Lior Gazit Meysam GhaffariEnhance your NLP proficiency with modern frameworks like LangChain, explore mathematical foundations and code samples, and gain expert insights into current and future trends Key FeaturesLearn how to build Python-driven solutions with a focus on NLP, LLMs, RAGs, and GPTMaster embedding techniques and machine learning principles for real-world applicationsUnderstand the mathematical foundations of NLP and deep learning designsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionDo you want to master Natural Language Processing (NLP) but don’t know where to begin? This book will give you the right head start. Written by leaders in machine learning and NLP, Mastering NLP from Foundations to LLMs provides an in-depth introduction to techniques. Starting with the mathematical foundations of machine learning (ML), you’ll gradually progress to advanced NLP applications such as large language models (LLMs) and AI applications. You’ll get to grips with linear algebra, optimization, probability, and statistics, which are essential for understanding and implementing machine learning and NLP algorithms. You’ll also explore general machine learning techniques and find out how they relate to NLP. Next, you’ll learn how to preprocess text data, explore methods for cleaning and preparing text for analysis, and understand how to do text classification. You’ll get all of this and more along with complete Python code samples. By the end of the book, the advanced topics of LLMs’ theory, design, and applications will be discussed along with the future trends in NLP, which will feature expert opinions. You’ll also get to strengthen your practical skills by working on sample real-world NLP business problems and solutions.What you will learnMaster the mathematical foundations of machine learning and NLP Implement advanced techniques for preprocessing text data and analysis Design ML-NLP systems in PythonModel and classify text using traditional machine learning and deep learning methodsUnderstand the theory and design of LLMs and their implementation for various applications in AIExplore NLP insights, trends, and expert opinions on its future direction and potentialWho this book is forThis book is for deep learning and machine learning researchers, NLP practitioners, ML/NLP educators, and STEM students. Professionals working with text data as part of their projects will also find plenty of useful information in this book. Beginner-level familiarity with machine learning and a basic working knowledge of Python will help you get the best out of this book.
Mastering Numerical Computing with NumPy: Master Scientific Computing And Perform Complex Operations With Ease
by Umit Mert CakmakMastering Numerical Computing with Python guides you in performing complex computing with cutting-edge coverage on advanced concepts such as exploratory data analysis and clustering algorithms. You'll become an expert in addressing matrix calculations, and write efficient NumPy codes for implementing algorithms with real-world examples.
Mastering Object-Oriented Python, Second Edition: Build Powerful Applications With Reusable Code Using Oop Design Patterns And Python 3. 7, 2nd Edition
by Steven F. LottMastering Object-Oriented Python, Second Edition, will introduce the advanced features of the Python programming language to create the highest quality Python programs possible. This means exploring design alternatives and determining which design offers the best performance, while still being a good fit with the problem being solved.
Mastering pandas
by Femi AnthonyThis book is intended for Python programmers, mathematicians, and analysts who already have a basic understanding of Python and wish to learn about its data analysis capabilities in depth.
Mastering Pandas, Second Edition: A Complete Guide To Pandas, From Installation To Advanced Data Analysis Techniques, 2nd Edition
by Ashish Kumarpandas is a popular Python library used by data scientists and analysts worldwide to manipulate and analyze their data. This book presents useful techniques and real-world examples on getting the most out of pandas for expert-level data manipulation, analysis and visualization.
Mastering Python: Write Powerful And Efficient Code Using The Full Range Of Pythons Capabilities
by Rick Van HattemThis book delves into the advanced features of the Python programming language and teaches you how they can be utilized to write powerful Python code and packages
Mastering Python for Finance
by James Ma WeimingIf you are an undergraduate or graduate student, a beginner to algorithmic development and research, or a software developer in the financial industry who is interested in using Python for quantitative methods in finance, this is the book for you. It would be helpful to have a bit of familiarity with basic Python usage, but no prior experience is required.
Mastering Python for Finance.: Implement Advanced State-of-the-art Financial Statistical Applications Using Python, 2nd Edition
by James Ma WeimingThis book enables you to develop financial applications by harnessing Python’s strengths in data visualization, interactive analytics, and scientific computing. You will be using popular libraries such as TensorFlow, Keras, sklearn, and so on to extend the functionalities of your financial applications by using smart machine learning techniques.
Mastering Python Scientific Computing
by Hemant Kumar MehtaA complete guide for Python programmers to master scientific computing using Python APIs and tools About This Book • The basics of scientific computing to advanced concepts involving parallel and large scale computation are all covered. • Most of the Python APIs and tools used in scientific computing are discussed in detail • The concepts are discussed with suitable example programs Who This Book Is For If you are a Python programmer and want to get your hands on scientific computing, this book is for you. The book expects you to have had exposure to various concepts of Python programming. What You Will Learn • Fundamentals and components of scientific computing • Scientific computing data management • Performing numerical computing using NumPy and SciPy • Concepts and programming for symbolic computing using SymPy • Using the plotting library matplotlib for data visualization • Data analysis and visualization using Pandas, matplotlib, and IPython • Performing parallel and high performance computing • Real-life case studies and best practices of scientific computing In Detail In today's world, along with theoretical and experimental work, scientific computing has become an important part of scientific disciplines. Numerical calculations, simulations and computer modeling in this day and age form the vast majority of both experimental and theoretical papers. In the scientific method, replication and reproducibility are two important contributing factors. A complete and concrete scientific result should be reproducible and replicable. Python is suitable for scientific computing. A large community of users, plenty of help and documentation, a large collection of scientific libraries and environments, great performance, and good support makes Python a great choice for scientific computing. At present Python is among the top choices for developing scientific workflow and the book targets existing Python developers to master this domain using Python. The main things to learn in the book are the concept of scientific workflow, managing scientific workflow data and performing computation on this data using Python. The book discusses NumPy, SciPy, SymPy, matplotlib, Pandas and IPython with several example programs. Style and approach This book follows a hands-on approach to explain the complex concepts related to scientific computing. It details various APIs using appropriate examples.
Mastering R: A Beginner's Guide (Mastering Computer Science)
by Sufyan Bin UzayrR is a statistical computing and graphics programming language that you can use to clean, analyze, and graph data. It is widely used by researchers from various disciplines to estimate and display results and by teachers of statistics and research methods. This book is a detailed guide for beginners to understand R with an explanation of core statistical and research ideas. One of the powerful characteristics of R is that it is open-source, which means that anyone can access the underlying code used to run the program and add their own code for free. It will always be able to perform the latest statistical analyses as soon as anyone thinks of them. R corrects mistakes quickly and transparently and has put together a community of programming and statistical experts that you can turn to for help. Mastering R: A Beginner’s Guide not only explains how to program but also how to use R for visualization and modeling. The fundamental principles of R explained here are helpful to beginner and intermediate users interested in learning this highly technological and diverse language.