Introduction to Python Programming And Data Structure By Liang

The subject of mineralogy is moving away from the traditional systematic treatment of mineral groups toward the study of the behaviour of minerals in relation to geological processes. A knowledge of how minerals respond to a changing geological environment is fundamental to our understanding of many dynamic earth processes. By adopting a materials science approach, An Introduction to Mineral Sciences explains the principles underlying the modern study of minerals, discussing the behaviour of crystalline materials with changes in temperature, pressure and chemical environment. The concepts required to understand mineral behaviour are often complex, but are presented here in simple, non-mathematical terms for undergraduate mineralogy students. After introductory chapters describing the principles of diffraction, imaging and the spectroscopic methods used to study minerals, the structure and behaviour of the main groups of rock-forming minerals are covered, and the role of defects in the

This book was originally published in paperback in 1991, during a time of growing global concern over the loss of gene resources in crop plants. The future was seen as being dependent on their immediate conservation and effective use by plant breeders. The text is aimed at providing a comprehensive introduction to the form and availability of crop diversity, as well as how this diversity may be gathered, conserved and ultimately combined with new cultivars. Techniques are defined within the fields of data management, tissue culture and genetic engineering, and the overall concept of plant genetic resources is discussed within a political context. A comprehensive bibliography is included.

This book attempts to uncover the basic form and structure of the Babylonian Talmud, which is a centrally important text in Jewish studies. The contribution made by Dr Jacobs to the study of the Talmud consists in his presentation of the literary principles employed in its composition, and he here presents a clear survey indicating the manner in which earlier material was reworked in order to make each component, or sugya, into a carefully structured and self-consistent unit. Jacobs compares the editors' methods in this regard with the manner in which Shakespeare converted the variety of chronicles and source material available to him into a much more dramatic literary form, which - while preserving the kernel of the story - completely transformed its character and impact. Dr Jacobs' study constitutes an excellent introduction to the Babylonian Talmud and to the nature of rabbinic thinking.

The supply of energy and raw materials has become an increasingly important topic of public debate. This book is an introduction to the energy and resources systems that influence all of our lives. The authors analyse as a system the role of energy usage in the human environment and discuss the political and economic structure involved. Mineral resources are analysed in terms of international and national systems including a section on the technologies of extraction and production. By considering the historical, political, and economic factors that determine these systems, the authors are able to discuss possible future prospects and solutions to the problem of supply.

With the classification of the finite simple groups complete, much work has gone into the study of maximal subgroups of almost simple groups. In this volume the authors investigate the maximal subgroups of the finite classical groups and present research into these groups as well as proving many new results. In particular, the authors develop a unified treatment of the theory of the 'geometric subgroups' of the classical groups, introduced by Aschbacher, and they answer the questions of maximality and conjugacy and obtain the precise shapes of these groups. Both authors are experts in the field and the book will be of considerable value not only to group theorists, but also to combinatorialists and geometers interested in these techniques and results. Graduate students will find it a very readable introduction to the topic and it will bring them to the very forefront of research in group theory.

This textbook introduces basic elements of fundamental astronomy and astrophysics which serve as a foundation for understanding the structure, evolution, and observed properties of stars. The first half of the book explains how stellar motions, distances, luminosities, colours, radii, masses and temperatures are measured or derived. The author then shows how data of these sorts can be arranged to classify stars through their spectra. Stellar rotation and stellar magnetic fields are introduced. Stars with peculiar spectra and pulsating stars also merit special attention. The endpoints of stellar volutions are briefly described. There is a separate chapter on the Sun and a final one on interstellar absorption. The usefulness of this text is enhanced by the inclusion of problems for students, tables of astronomical constants, and a selective bibliography.

First published in 1988 this textbook on crystal chemistry covers the basic principles of crystal chemistry and physics and crystallography and introduces the concept of crystal refractivity. The book begins with a discussion of atoms and atomic structure and moves from there to atomic bonding. Throughout this discussion, special emphasis is given to Pauling's rules. The author then treats crystal symmetry, crystal field theory, polyhedral structure and atomic packing. He concludes by introducing the student to more sophisticated optical properties of minerals, refractivity and polarisability in crystals. The material covered is sufficiently basic so that the book will be suitable for undergraduate and graduate student in advanced mineralogy courses. It will also be of interest to individuals, including mineralogists, materials scientists, crystallographers and inorganic chemists who are engaged in academic and industrial research dealing with the structure of the solid state.

Originally developed by Alfred Aho, Brian Kernighan, and Peter Weinberger in 1977, AWK is a pattern-matching language for writing short programs to perform common data-manipulation tasks. In 1985, a n

To an algebraist the theory of group characters presents one of those fascinating situations, where the structure of an abstract system is elucidated by a unique set of numbers inherent in the system. But the subject also has a practical aspect, since group characters have gained importance in several branches of science, in which considerations of symmetry play a decisive part. This is an introductory text, suitable for final-year undergraduates or postgraduate students. The only prerequisites are a standard knowledge of linear algebra and a modest acquaintance with group theory. Especial care has been taken to explain how group characters are computed. The character tables of most of the familiar accessible groups are either constructed in the text or included amongst the exercise, all of which are supplied with solutions. The chapter on permutation groups contains a detailed account of the characters of the symmetric group based on the generating function of Frobenius and on the Sch

This has proved to be an excellent introduction to what sociology is and what kinds of information and useful knowledge the practice of this discipline provides. In discussing family structure, the relation between the economy and society, social class, social control, and religion, the author uses appropriate examples of African experience. For this third edition, Dr Goldthorpe has thoroughly revised the text to take account of the changes affecting men and women in contemporary societies. Major revisions have been made to the chapter on the family, in the light of recent research on child care. The chapter on social class has been extensively revised to incorporate new material (including work by the author's namesake J. H. Goldthorpe) on social mobility and inequality in contemporary societies, and the debate on socialism has been updated. Changes have been made too in the passages on hunting and food-gathering societies, and on peasants, while there has been a general up dating of

A detailed introduction to the methods used by ecologists--classification and ordination--to clarify and interpret large, unwieldy masses of multivariate field data. Permits ecologists to understand,

Introduction to basic statistical concepts and to concept of "adjustment" also covers solution by least squares of more complicated problems and takes into account the propagation of error, general pr

When W. E. Dasent's Inorganic Energetics first appeared in 1970 it rapidly established itself as an important teaching text. In this 1982 second edition, the author preserved the same basic structure and objectives of the earlier edition, although much of the material has been rewritten and the numerical data revised. Thermodynamics is commonly presented as a self-contained component of physical chemistry. This book uses the principles of thermodynamics to help elucidate the problems of what has too frequently been regarded as a quite separate discipline: inorganic chemistry. The bringing together in this way of two traditionally distinct branches of chemistry adds an important quantitative dimension to the more customary interpretations of inorganic reactivity in terms of chemical bonding theory. The author provides extensive tabulations of data designed to help students to make their own thermodynamic analyses of inorganic reactions which are not specifically discussed. S.I units are

Turbulent flow is a most important branch of fluid dynamics yet its complexity has tended to make it one of the least understood. Empirical data have been appearing rapidly for more than twenty years but a consistent theory of turbulent flow based on the results has been lacking. The original edition of Dr Townsend's book was the first to attempt a systematic and comprehensive discussion of all kinds of turbulent motion and to provide a reliable analysis of the processes which occur. The theory and associated concepts are applied to the description of a variety of flows: free turbulent flows such as wakes and jets, wall flows in pipes and boundary layers, flows affected by buoyancy forces such as heat plumes and the atmospheric boundary layer and flows with curved streamlines. This monograph will appeal to practitioners and researchers in engineering, meteorology, oceanography, physics and applied mathematics. This paperback edition was first issued in hard covers in 1976 as a complete

By the time students have done some programming in one or two languages and have learnt the common ways of representing information in a computer, they will want to embark upon further study of theoretical or applied topics in computer science. Most will encounter problems that require for their solution one or more of the techniques described in this book: for example problems depending upon the formation and solution of different equations; the task of making lists of possible alternatives and of answering questions about them; or the search for discrete optima. Written by the same authors as the highly successful Information Representation and Manipulation in a Computer, this book describes algorithms of mathematical methods and illustrates their application with examples. The mathematical background needed is elementary algebra and calculus. Numerous exercises are provided, with hints to their solutions.

How can you create a successful brand? What makes a great entrepreneur? And why do some firms fail while others prosper?Part of DK’s indispensable Big Ideas series, this fully revised and updated new edition of The Business Book answers these questions and many more. The perfect introduction to the subject, it explores and explains everything from competition-based theory and critical-path analysis to market-mapping and the MABA matrix through a combination of easy-to-follow explanations, innovative graphics, and intriguing quotes.This fascinating new edition features:More than 90 of the most important ideas, events, and milestones in the field of business, business strategy, and management – from benchmarking and “Big Data” to Kaizen and cash flowSimple explanations, bold infographics and step-by-step diagrams that untangle knotty concepts, and witty illustrationsKey quotes from major figures from business history – from Andrew Carnegie to Warren BuffetEight pages of brand-new content

The present book provides an introduction to the linguistic model of Construction Grammar, offering a full analysis of the grammar of the English language. It covers all levels of morpho-syntactic form-meaning units: including sentence types, tense and aspect, argument structure, phrases, idioms, word and morphological constructions. In line with its usage-based approach, all constructions are discussed using authentic corpus examples.In order to illustrate how constructions can be learnt, the book draws on authentic data from child language. Furthermore, corpus analysis is used to show which lexical items typically occur in the slots of constructions and make up their ‘collo-profile’. A key feature of the book is that it develops a systematic method for showing how constructions combine to form actual utterances.For this purpose, so-called ‘construction grids’ are developed which contain all the constructions that make up even the most complex sentences and show points of overlap betw

Terrorism, Politics, and Human Rights Advocacy provides an insider-outsider analysis of the #BringBackOurGirls (#BBOG) movement. Formed through a coalition of elite women and middle-class allies to advocate for the rescue of over 200 high school girls from Chibok, Nigeria, who were kidnapped by Boko Haram in 2014, the movement is a global leader in the 'lives matter' advocacy and a new episode in African women-led rights movements. Based on data garnered from over 170 research participants, Oriola demonstrates how the #BBOG transformed the Chibok kidnapping into an international cause and a social problem in a sociological sense, inadvertently creating a social problem industry. The volume provides in-depth analyses of the organizational structure, decision-making, repertoire of protest, framing, internal dynamics, and divisions within the #BBOG. Far more than a social media phenomenon, the #BBOG deploys a hybridized communication process which seamlessly combines the time-space compre

Do you worry that your understanding of English grammar isn’t what it should be? It may not be your fault. For hundreds of years, vague and confused ideas about how to state the rules have been passed down from one generation to the next. The available books for the general reader – thousands of them, shamelessly plagiarizing each other – repeat the same misguided definitions and generalizations that appeared in the schoolbooks used by your great-great-grandparents.Geoffrey K. Pullum thinks you deserve better. In this book he breaks away from the tradition.Presupposing no prior knowledge or technical terms, he provides an informal introduction to the essential concepts underlying grammar and usage. With his foundation, you will be equipped to understand the classification of words, the structure of phrases and clauses, and why some supposed grammar rules are really just myths. Also covered are some of the key points about spelling, apostrophes, hyphens, capitalization, and punctuation.

This book offers step-by-step descriptions of various random systems and explores the world of computer simulations. In addition, this book offers a working introduction to those who want to learn how to create and run Monte Carlo simulations. Monte Carlo simulation has been a powerful computational tool for physics models, and when combined with the programming language Excel, this book is a valuable resource for readers who wish to acquire knowledge that can be applied to more complex systems. Visualization of the simulation results via the Visual Basic built in Microsoft EXCEL is presented as the first step towards the subject. Prior experience with the Excel add-in VBA is kept to a minimum. In addition, a chapter on quantum optimization simulation utilizing Python is added to explore the quantum computation. Readers will gain a fundamental knowledge and techniques of simulation physics, which can be extended to STEM projects and other research projects.

Migrate from pandas and scikit-Learn to PySpark to handle vast amounts of data and achieve faster data processing time. This book will show you how to make this transition by adapting your skills and leveraging the similarities in syntax, functionality, and interoperability between these tools. Distributed Machine Learning with PySpark offers a roadmap to data scientists considering transitioning from small data libraries (pandas/scikit-learn) to big data processing and machine learning with PySpark. You will learn to translate Python code from pandas/scikit-learn to PySpark to preprocess large volumes of data and build, train, test, and evaluate popular machine learning algorithms such as linear and logistic regression, decision trees, random forests, support vector machines, Na鴳e Bayes, and neural networks. After completing this book, you will understand the foundational concepts of data preparation and machine learning and will have the skills necessary to apply these methods using

Follow this comprehensive guide as it provides you with a deep understanding of Azure security principles, best practices, and implementation strategies aligned with the NIST Cybersecurity Framework (CSF). The book covers various topics from Azure security to designing and deploying solutions for infrastructure, data, and applications, including identify, protect, detect, respond, and recover solutions, in line with the NIST CSF.The book will take you through an introduction and the basic requirements for cloud security aligned with the NIST CSF. And then it will teach you how to design and deploy security for infrastructure, data, and apps security in an Azure enterprise environment. The book covers the NIST CSF and various cloud services offered by Microsoft Azure, maps each service against the NIST CSF, and explains each section with design and deployment considerations from a cybersecurity viewpoint.After reading this book, you will understand NIST CSF alignment with Microsoft Azur

Learn How to Better Understand Distributed System Design and Solve Common Problems Enterprises today rely on a range of distributed software handling data storage, messaging, system management, and compute capability. Distributed system designs need to be implemented in some programming language, and there are common problems that these implementations need to solve. These problems have common recurring solutions. A patterns approach is very suitable to describe these implementation aspects. Patterns by nature are generic enough to cover a broad range of products from cloud services like Amazon S3 to message brokers like Apache Kafka to infrastructure frameworks like Kubernetes to databases like MongoDB or Actor frameworks like Akka. At the same time the pattern structure is specific enough to be able to show real code. The beauty of this approach is that even if the code structure is shown in one programming language (Java in this case), the structure applies to many other programming

The perfect introduction to poetry, The Poetry Book offers a fascinating exploration of more than 90 of the world's greatest poetic works.Discover poems in all their many guises, from the epics of the ancient world through Renaissance sonnets to modernist masterpieces such as The Waste Land, and the key works of the last 50 years, including And Still I Rise by Maya Angelou and Derek Walcott's Omeros.Using the Big Ideas series' trademark combination of clear explanation, witty infographics, and inspirational quotes, The Poetry Book unlocks the key ideas, themes, imagery, and structural techniques behind even the most complex of poems, in clear and simple terms, setting each work in its historical, social, cultural, and literary context.Dive into the passionate world of poetry to discover:COMPREHENSIVE: Brings together a curated selection of the most celebrated and important poems ever written, majoring on English-language poetryANALYTICAL: Provides critical analysis of form, structure,

Develop the analytical skills that are in high demand in businesses today with Camm/Cochran/Fry/Ohlmann's best-selling BUSINESS ANALYTICS, 5E. You master the full range of analytics as you strengthen descriptive, predictive and prescriptive analytic skills. Real examples and memorable visuals clearly illustrate data and results. Step-by-step instructions guide you through using Excel, Tableau, R or the Python-based Orange data mining software to perform advanced analytics. Practical, relevant problems at all levels of difficulty let you apply what you've learned. Updates throughout this edition address topics beyond traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's business environment. MindTap and WebAssign online learning platforms are also available with an interactive eBook, algorithmic practice problems and Exploring Analytics visualizations to strengthen your understanding of key concepts.

During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book con

During the past half-century, exponential families have attained a position at the center of parametric statistical inference. Theoretical advances have been matched, and more than matched, in the world of applications, where logistic regression by itself has become the go-to methodology in medical statistics, computer-based prediction algorithms, and the social sciences. This book is based on a one-semester graduate course for first year Ph.D. and advanced master's students. After presenting the basic structure of univariate and multivariate exponential families, their application to generalized linear models including logistic and Poisson regression is described in detail, emphasizing geometrical ideas, computational practice, and the analogy with ordinary linear regression. Connections are made with a variety of current statistical methodologies: missing data, survival analysis and proportional hazards, false discovery rates, bootstrapping, and empirical Bayes analysis. The book con

Offering a new perspective, this textbook demystifies the operation of electric machines by providing an integrated understanding of electromagnetic fields, electric circuits, numerical analysis, and computer programming. It presents fundamental concepts in a rigorous manner, emphasising underlying physical modelling assumptions and limitations, and provides detailed explanations of how to implement the finite element method to explore these concepts using Python. It includes explanations of the conversion of concepts into algorithms, and algorithms into code, and examples building in complexity, from simple linear-motion electromagnets to rotating machines. Over 100 theoretical and computational end-of-chapter exercises test understanding, with solutions for instructors and downloadable Python code available online. Ideal for graduates and senior undergraduates studying electric machines, electric machine design and control, and power electronic converters and power systems engineerin

Ideal for entry-level and experienced researchers working in materials science and engineering, this unique book introduces a new subfield of materials science and mechanics of materials: network materials. A comprehensive review of their mechanical behaviours allows readers to understand, design, and enhance the performance of these material systems, across a range of materials including cytoskeletons, connective tissue, and thermoset polymers. By introducing simple models, supported by experimental data, the book provides the necessary fundamental knowledge to assist readers to design and develop their own material systems. By presenting each of these previously disparate material systems within a unified theoretical framework, this book provides a consolidated presentation of the mechanics of networks and their interactions, introducing parameters that define the stochastic structure of the network, and discussing their mechanical behaviour. It is an ideal text for those new to this

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Computational thinking is increasingly gaining importance in modern biology, due to the unprecedented scale at which data is nowadays produced. Bridging the cultural gap between the biological and computational sciences, this book serves as an accessible introduction to computational concepts for students in the life sciences. It focuses on teaching algorithmic and logical thinking, rather than just the use of existing bioinformatics tools or programming. Topics are presented from a biological point of view, to demonstrate how computational approaches can be used to solve problems in biology such as biological image processing, regulatory networks, and sequence analysis. The book contains a range of pedagogical features to aid understanding, including real-world examples, in-text exercises, end-of-chapter problems, colour-coded Python code, and 'code explained' boxes. User-friendly throughout, Computational Thinking for Life Scientists promotes the thinking skills and self-efficacy req

Attitudes towards spoken, signed, and written language are of significant interest to researchers in sociolinguistics, applied linguistics, communication studies, and social psychology. This is the first interdisciplinary guide to traditional and cutting-edge methods for the investigation of language attitudes. Written by experts in the field, it provides an introduction to attitude theory, helps readers choose an appropriate method, and guides through research planning and design, data collection, and analysis. The chapters include step-by-step instructions to illustrate and facilitate the use of the different methods as well as case studies from a wide range of linguistic contexts. The book also goes beyond individual methods, offering guidance on how to research attitudes in multilingual communities and in signing communities, based on historical data, with the help of priming, and by means of mixed-methods approaches.

This text provides deep and comprehensive coverage of the mathematical background for data science, including machine learning, optimal recovery, compressed sensing, optimization, and neural networks. In the past few decades, heuristic methods adopted by big tech companies have complemented existing scientific disciplines to form the new field of Data Science. This text embarks the readers on an engaging itinerary through the theory supporting the field. Altogether, twenty-seven lecture-length chapters with exercises provide all the details necessary for a solid understanding of key topics in data science. While the book covers standard material on machine learning and optimization, it also includes distinctive presentations of topics such as reproducing kernel Hilbert spaces, spectral clustering, optimal recovery, compressed sensing, group testing, and applications of semidefinite programming. Students and data scientists with less mathematical background will appreciate the appendice

The dramatic increase in computer performance has been extraordinary, but not for all computations: it has key limits and structure. Software architects, developers, and even data scientists need to understand how exploit the fundamental structure of computer performance to harness it for future applications. Ideal for upper level undergraduates, Computer Architecture for Scientists covers four key pillars of computer performance and imparts a high-level basis for reasoning with and understanding these concepts: Small is fast – how size scaling drives performance; Implicit parallelism – how a sequential program can be executed faster with parallelism; Dynamic locality – skirting physical limits, by arranging data in a smaller space; Parallelism – increasing performance with teams of workers. These principles and models provide approachable high-level insights and quantitative modelling without distracting low-level detail. Finally, the text covers the GPU and machine-learning accelerat

Linear regression is the first step, and often the only step, required to fit a simple model to data. Supported by a Glossary and tutorial appendices, this is an ideal introduction to regression analysis. Includes Matlab code.

A clear introduction for the novice naturalist to all things ant.Ants are everywhere, though they are small, easily overlooked and usually misunderstood. But these seemingly puny insects have a superpower that makes them amongst the most important organisms on the planet― what they lack in size and individual strength, they more than make up for in sheer numbers and sophisticated, coordinated activity.In this book, impassioned entomologist Richard Jones reveals the bizarre and sometimes poorly studied behaviours of ants. Their aggregation in huge nests is a complex mix of genetics, chemistry, geography and higher social interaction. Their forage trails, usually to aphid colonies but occasionally into the larder, are maintained by a wondrous alchemy of molecular scents and markers. Their social colony structure confused natural philosophers of old and still taxes the modern biologist today. Despite being tiny, ants are special because they and their complex colonies are amenable to scie

Artificial Intelligence-Aided Materials Design: AI-Algorithms and Case Studies on Alloys and Metallurgical Processes describes the application of artificial intelligence (AI)/machine learning (ML) concepts to develop predictive models that can be used to design alloy materials, including magnetic alloys, nickel-base superalloys, titanium-base alloys, and aluminum-base alloys. Readers new to AI/ML algorithms can use this book as a starting point and use the included MATLAB and Python implementation of AI/ML algorithms through included case studies. Experienced AI/ML researchers who want to try new algorithms can use this book and study the case studies for reference. Offers advantages and limitations of several AI concepts and their proper implementation in various data types generated through experiments and computer simulations and from industries in different file formats Helps readers develop predictive models through AI/ML algorithms by writing their own computer code or usin

Connecting theory with practice, this systematic and rigorous introduction covers the fundamental principles, algorithms and applications of key mathematical models for high-dimensional data analysis. Comprehensive in its approach, it provides unified coverage of many different low-dimensional models and analytical techniques, including sparse and low-rank models, and both convex and non-convex formulations. Readers will learn how to develop efficient and scalable algorithms for solving real-world problems, supported by numerous examples and exercises throughout, and how to use the computational tools learnt in several application contexts. Applications presented include scientific imaging, communication, face recognition, 3D vision, and deep networks for classification. With code available online, this is an ideal textbook for senior and graduate students in computer science, data science, and electrical engineering, as well as for those taking courses on sparsity, low-dimensional str

A comprehensive introduction to the most commonly used statistical methods relevant in atmospheric, oceanic and climate sciences. Each method is described step-by-step using plain language, and illustrated with concrete examples, with relevant statistical and scientific concepts explained as needed. Particular attention is paid to nuances and pitfalls, with sufficient detail to enable the reader to write relevant code. Topics covered include hypothesis testing, time series analysis, linear regression, data assimilation, extreme value analysis, Principal Component Analysis, Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. The specific statistical challenges that arise in climate applications are also discussed, including model selection problems associated with Canonical Correlation Analysis, Predictable Component Analysis, and Covariance Discriminant Analysis. Requiring no previous background in statistics, this is a highly accessibl

Become proficient in deriving insights from time-series data and analyzing a model's performanceKey Features: Explore popular and modern machine learning methods including the latest online and deep learning algorithmsLearn to increase the accuracy of your predictions by matching the right model with the right problemMaster time-series via real-world case studies on operations management, digital marketing, finance, and healthcareBook Description: Machine learning has emerged as a powerful tool to understand hidden complexities in time-series datasets, which frequently need to be analyzed in areas as diverse as healthcare, economics, digital marketing, and social sciences. These datasets are essential for forecasting and predicting outcomes or for detecting anomalies to support informed decision making.This book covers Python basics for time-series and builds your understanding of traditional autoregressive models as well as modern non-parametric models. You will become confident with