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Data Analytics and Machine Learning for Integrated Corridor Management
by Karnati, Yashaswi, Mahajan, Dhruv, Banerjee, Tania, Sengupta, Rahul, Packard, Clay, Casburn, Ryan, Agarwal, Nithin, Dilmore, Jeremy, Rangarajan, Anand, Ranka, Sanjay
English | 2025 | ISBN: 103257464X | 242 pages | True PDF EPUB | 38.05 MB
In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes. From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems. With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.
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Wolfgang Garn, "Data Analytics for Business: AI-ML-PBI-SQL-R"
English | ISBN: 1032372621 | 2024 | 270 pages | EPUB | 9 MB
We are drowning in data but are starved for knowledge. Data Analytics is the discipline of extracting actionable insights by structuring, processing, analysing and visualising data using methods and software tools. Hence, we gain knowledge by understanding the data. A roadmap to achieve this is encapsulated in the knowledge discovery in databases (KDD) process. Databases help us store data in a structured way. The structure query language (SQL) allows us to gain first insights about business opportunities. Visualising the data using business intelligence tools and data science languages deepens our understanding of the key performance indicators and business characteristics. This can be used to create relevant classification and prediction models; for instance, to provide customers with the appropriate products or predict the eruption time of geysers. Machine learning algorithms help us in this endeavour. Moreover, we can create new classes using unsupervised learning methods, which can be used to define new market segments or group customers with similar characteristics. Finally, artificial intelligence allows us to reason under uncertainty and find optimal solutions for business challenges. All these topics are covered in this book with a hands-on process, which means we use numerous examples to introduce the concepts and several software tools to assist us. Several interactive exercises support us in deepening the understanding and keep us engaged with the material.
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Data Analytics for Discourse Analysis with Python: The Case of Therapy Talk
English | 2024 | ISBN: 1032419016 | 190 Pages | EPUB (True) | 2.3 MB
The book provides a brief primer on data analytics, defined as the science of analyzing raw data to reveal new insights and support decision making. Currently underutilized in discourse research, Tay draws on the case of psychotherapy talk, in which clients' concerns are worked through via verbal interaction with therapists, to demonstrate how data analytics can address both practical and theoretical concerns. Each chapter follows a consistent structure, offering a streamlined walkthrough of a key technique, an example case study, and annotated Python code. The volume shows how techniques such as simulations, classification, clustering, and time series analysis can address such issues as incomplete data transcripts, therapist-client (a)synchrony, and client prognosis, offering inspiration for research, training, and practitioner self-reflection in psychotherapy and other discourse contexts.
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Data Engineering and Applications: Proceedings of the International Conference, IDEA 2K22, Volume 1
English | 2024 | ISBN: 9819700361 | 617 Pages | PDF (True) | 32 MB
This book comprises select proceedings from the 4th International Conference on Data, Engineering, and Applications (IDEA 2022). The contents discuss novel contributions and latest developments in the domains of data structures and data management algorithms, information retrieval and information integration, social data analytics, IoT and data intelligence, Industry 4.0 and digital manufacturing, data fusion, natural language processing, geolocation handling, image, video and signal processing, ICT applications and e-governance, among others. This book is of interest to researchers in academia and industry working in big data, data mining, machine learning, data science, and their associated learning systems and applications.
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Data Mining with Python: Theory, Application, and Case Studies (Chapman & Hall/CRC The Python Series) by Di Wu
English | April 10, 2024 | ISBN: 1032612649, 1032598905 | True EPUB | 414 pages | 8.9 MB
Data is everywhere and it's growing at an unprecedented rate. But making sense of all that data is a challenge. Data Mining is the process of discovering patterns and knowledge from large data sets, and Data Mining with Python focuses on the hands-on approach to learning Data Mining. It showcases how to use Python Packages to fulfill the Data Mining pipeline, which is to collect, integrate, manipulate, clean, process, organize, and analyze data for knowledge.
The contents are organized based on the Data Mining pipeline, so readers can naturally progress step by step through the process. Topics, methods, and tools are explained in three aspects: "What it is" as a theoretical background, "why we need it" as an application orientation, and "how we do it" as a case study.
This book is designed to give students, data scientists, and business analysts an understanding of Data Mining concepts in an applicable way. Through interactive tutorials that can be run, modified, and used for a more comprehensive learning experience, this book will help its readers to gain practical skills to implement Data Mining techniques in their work.
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Data Science: A First Introduction with Python
English | 2024 | ISBN: 103257223X | 452 Pages | EPUB (True) | 17 MB
Data Science: A First Introduction with Python focuses on using the Python programming language in Jupyter notebooks to perform data manipulation and cleaning, create effective visualizations, and extract insights from data using classification, regression, clustering, and inference. It emphasizes workflows that are clear, reproducible, and shareable, and includes coverage of the basics of version control. Based on educational research and active learning principles, the book uses a modern approach to Python and includes accompanying autograded Jupyter worksheets for interactive, self-directed learning. The text will leave readers well-prepared for data science projects. It is designed for learners from all disciplines with minimal prior knowledge of mathematics and programming. The authors have honed the material through years of experience teaching thousands of undergraduates at the University of British Columbia.
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Data Structures for Engineers and Scientists Using Python
English | 2025 | ISBN: 1032463686 | 410 Pages | EPUB (True) | 10 MB
The text covers the fundamentals of Python programming and the implementation of data structures using Python programming with the help of worked-out examples. It provides a learning tool for engineers as well as for researchers and scientists of advanced level. The text further discusses important concepts such as polynomial manipulation, sparse matrices, implementation of stack using queue model and topological sorting.
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Data-Driven HR: How to Use AI, Analytics and Data to Drive Performance by Bernard Marr
English | December 26, 2023 | ISBN: 1398614564 | 240 pages | PDF | 2.07 Mb
How can HR professionals utilize and leverage their organization's data effectively, with the use of AI, for more talent attraction, better employee engagement and higher talent retention to ultimately drive performance?
AI is now an integral part of being data-driven. With this updated edition of Data-Driven HR, practitioners can unlock business potential and success through data and analytics. Covering topics such as recruitment, employee engagement, performance management, wellbeing and training, HR practitioners can benefit from knowing how to really be data-driven through the use of data and AI.
HR teams will learn how to identify business goals, scrutinize useful sources of data and gain rich and diverse insights from their vast amounts of data. This book brings guidance on how to manage challenges that come with data and AI, as well as how to responsibly and transparently use data to improve decision making. It also includes predictive analytics and how to place warning systems into databases for any potential workforce issues. Packed with practical advice, key takeaways and real-life examples, this is essential reading for all HR professionals looking to make a measurable difference in their organizations.
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Data-based Decision Making in Education: Challenges and Opportunities By Kim Schildkamp, Mei Kuin Lai (auth.), Kim Schildkamp, Mei Kuin Lai, Lorna Earl (eds.)
2013 | 218 Pages | ISBN: 9400748159 | PDF | 2 MB
In a context where schools are held more and more accountable for the education they provide, data-based decision making has become increasingly important. This book brings together scholars from several countries to examine data-based decision making. Data-based decision making in this book refers to making decisions based on a broad range of evidence, such as scores on students' assessments, classroom observations etc.This book supports policy-makers, people working with schools, researchers and school leaders and teachers in the use of data, by bringing together the current research conducted on data use across multiple countries into a single volume. Some of these studies are 'best practice' studies, where effective data use has led to improvements in student learning. Others provide insight into challenges in both policy and practice environments. Each of them draws on research and literature in the field.
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Data-driven Systems and Intelligent Applications
English | 2025 | ISBN: 1032445963 | 232 Pages | PDF EPUB (True) | 16 MB
This book comprehensively discusses basic data-driven intelligent systems, the methods for processing the data, and cloud computing with artificial intelligence. It presents fundamental and advanced techniques used for handling large user data, and for the data stored in the cloud. It further covers data-driven decision-making for smart logistics and manufacturing systems, network security, and privacy issues in cloud computing.
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Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment by Stephanie Rivera, Anastasia Prokaieva, Amanda Baker
English | May 17, 2024 | ISBN: 1800564899 | 266 pages | PDF | 35 Mb
Get to grips with autogenerating code, deploying ML algorithms, and leveraging various ML lifecycle features on the Databricks Platform, guided by best practices and reusable code for you to try, alter, and build on
Key FeaturesBuild machine learning solutions faster than peers only using documentationEnhance or refine your expertise with tribal knowledge and concise explanationsFollow along with code projects provided in GitHub to accelerate your projectsBook Description
Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Databricks ML in Action presents cloud-agnostic, end-to-end examples with hands-on illustrations of executing data science, machine learning, and generative AI projects on the Databricks Platform.
You'll develop expertise in Databricks' managed MLflow, Vector Search, AutoML, Unity Catalog, and Model Serving as you learn to apply them practically in everyday workflows. This Databricks book not only offers detailed code explanations but also facilitates seamless code importation for practical use. You'll discover how to leverage the open-source Databricks platform to enhance learning, boost skills, and elevate productivity with supplemental resources.
By the end of this book, you'll have mastered the use of Databricks for data science, machine learning, and generative AI, enabling you to deliver outstanding data products.
What you will learnSet up a workspace for a data team planning to perform data scienceMonitor data quality and detect driftUse autogenerated code for ML modeling and data explorationOperationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and WorkflowsIntegrate open-source and third-party applications, such as OpenAI's ChatGPT, into your AI projectsCommunicate insights through Databricks SQL dashboards and Delta SharingExplore data and models through the Databricks marketplaceWho this book is for
This book is for machine learning engineers, data scientists, and technical managers seeking hands-on expertise in implementing and leveraging the Databricks Data Intelligence Platform and its Lakehouse architecture to create data products.
Table of ContentsGetting Started with This Book and Lakehouse ConceptsDesigning Databricks: Day OneBuilding Out Our Bronze LayerGetting to Know Your DataFeature Engineering on DatabricksSearching for a SignalProductionizing ML on DatabricksMonitoring, Evaluating, and More
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Megan Hunter, "Dating Radar: Why Your Brain Says Yes to "The One" Who Will Make Your Life Hell"
English | 2017 | ISBN: 1936268124 | EPUB | pages: 238 | 0.7 mb
If hindsight is 20/20 vision, dating radar is x-ray vision.Why do so many of us commit to the wrong person? Most believe that attraction and compatibility are the keys to relationship success when, in reality, these are red flags in 15-20% of the population. When it comes to love, the brain is irrational and shortsighted. We make decisions based on incomplete information, biased understanding, and strong emotion.
Love truly is blind. That's why you need dating radar―it gives you a way to detect hazards you might otherwise miss by recognizing:
1. Warning signs of certain personalities that can spell love relationship danger
2. Ways that they can jam your radar (deceive you)
3. Where your own blind spots might be
Attorney, mediator, and social worker Bill Eddy and relationship expert Megan Hunter use their expertise in high-conflict personalities, complicated relationships and divorce to equip readers to see through the blinding spark of new love and spot potential toxic relationships before it is too late!
Bill Eddy is an award-winning author and president of High Conflict Institute. Megan Hunter is a
Publisher, author, speaker and the founder of Unhooked Media.
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Gabriela Leite, "Daughter, Mother, Grandmother, and Whore: The Story of a Woman Who Decided to be a Puta "
English | ISBN: 147803050X | 2024 | 200 pages | PDF | 5 MB
In the early 1970s, while living at home with her conservative middle-class family and studying at the University of São Paulo, Gabriela Leite decided to become a sex worker. From her first client in a tiny room in downtown São Paulo to the launch of an exuberant clothing line designed for sex workers in Rio de Janeiro thirty years later, Daughter, Mother, Grandmother, and Whore tells the fascinating story of Leite's bold and unique life in her own words. After helping to organize Brazil's first protests by sex workers against police brutality, she moved to Rio de Janeiro, where she quickly became ensconced in the city's storied red-light district. From there, Leite built a national network of politicized sex workers, worked for HIV/AIDS prevention, and participated in Brazil's robust new civil society after its return to democracy in 1985 following a twenty-one-year military dictatorship. Insistent on advocating for the sex worker's comprehensive human rights, Leite pioneered an irreverent grassroots Latin American feminism, which critiqued moral hypocrisies and Christian conservatism while affirming pleasure, joy, and agency.
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Deep Learning with JAX
by Grigory Sapunov
English | 2024 | ISBN: 1633438880 | 410 pages | True PDF | 39.75 MB
Accelerate deep learning and other number-intensive tasks with JAX, Google's awesome high-performance numerical computing library.
In Deep Learning with JAX you will learn how to:
Use JAX for numerical calculations
Build differentiable models with JAX primitives
Run distributed and parallelized computations with JAX
Use high-level neural network libraries such as Flax and Haiku
Leverage libraries and modules from the JAX ecosystem
The JAX numerical computing library tackles the core performance challenges at the heart of deep learning and other scientific computing tasks. By combining Google's Accelerated Linear Algebra platform (XLA) with a hyper-optimized version of NumPy and a variety of other high-performance features, JAX delivers a huge performance boost in low-level computations and transformations.
Deep Learning with JAX is a hands-on guide to using JAX for deep learning and other mathematically-intensive applications. Google Developer Expert Grigory Sapunov steadily builds your understanding of JAX's concepts. The engaging examples introduce the fundamental concepts on which JAX relies and then show you how to apply them to real-world tasks. You'll learn how to use JAX's ecosystem of high-level libraries and modules, and also how to combine TensorFlow and PyTorch with JAX for data loading and deployment.
Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications.
About the technology
The JAX Python mathematics library is used by many successful deep learning organizations, including Google's groundbreaking DeepMind team. This exciting newcomer already boasts an amazing ecosystem of tools including high-level deep learning libraries Flax by Google, Haiku by DeepMind, gradient processing and optimization libraries, libraries for evolutionary computations, federated learning, and much more! JAX brings a functional programming mindset to Python deep learning, letting you improve your composability and parallelization in a cluster.
About the book
Deep Learning with JAX teaches you how to use JAX and its ecosystem to build neural networks. You'll learn by exploring interesting examples including an image classification tool, an image filter application, and a massive scale neural network with distributed training across a cluster of TPUs. Discover how to work with JAX for hardware and other low-level aspects and how to solve common machine learning problems with JAX. By the time you're finished with this awesome book, you'll be ready to start applying JAX to your own research and prototyping!
About the reader
For intermediate Python programmers who are familiar with deep learning.
About the author
Grigory Sapunov is a co-founder and CTO of Intento. He is a software engineer with more than twenty years of experience. Grigory holds a Ph.D. in artificial intelligence and is a Google Developer Expert in Machine Learning.
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Deepening the Treatment by Jane S. Hall
English | March 7th, 2014 | ISBN:0765701766 | 214 pages | True EPUB | 1.04 MB
Almost everyone who crosses the therapist's threshold is looking for a second chance-a shot at living a richer, less restricted life. Understanding how echoes of the past resonate in and shape the present provides opportunities to resolve crippling conflicts and make new choices. Furthermore, such insight produces a sense of mastery.
But not everyone is aware that the problems s/he brings into weekly therapy are just the first few bars of his or her song. Jane Hall wrote Deepening the Treatment to help the psycho-dynamically informed therapist help the patient recognize that exploring ideas and feelings is a journey worth taking and that the therapist is a trustworthy guide.
Often, people need to wade before they feel comfortable diving into deep waters. Hall introduces a responsible if unconventional application of respectful, nondirective therapy, and she supports her vision with clinical examples and thoughtful attention to issues of basic technique-among them separation, termination, self-disclosure, frequency of sessions, tolerating patient rage, and, of course, interpreting the transference.
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Deformation of Earth Materials: An Introduction to the Rheology of Solid Earth By Shun-ichiro Karato
2008 | 474 Pages | ISBN: 0521844045 | PDF | 8 MB
This graduate textbook, first published in 2008, presents a comprehensive, unified treatment of the materials science of deformation as applied to solid Earth geophysics and geology. The deformation of Earth materials is presented in a systematic way covering elastic, anelastic and viscous deformation. Advanced discussions on relevant debates are also included to bring readers a full picture of science in this interdisciplinary area. This textbook is ideal for graduate courses on the rheology and dynamics of solid Earth, and includes review questions with solutions so readers can monitor their understanding of the material presented. It is also a much-needed reference for geoscientists in many fields including geology, geophysics, geochemistry, materials science, mineralogy and ceramics.
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Democracy: Eleven writers and leaders on what it is - and why it matters by Margaret Atwood, Mary Beard, Elif Shafak
English | August 27, 2024 | ISBN: 1805223712 | 144 pages | PDF | 1.33 Mb
In collaboration with the Financial Times: powerful, urgent reflections on the value of democracy from eleven women writers and thought-leaders.
This is an exceptional moment for democracy.
In the year of elections, read Margaret Atwood, Mary Beard, Lea Ypi, Elif Shafak and more on what democracy means - and why it matters.
In 2024, nearly half the world will take part in a national election, with billions heading to the polls. It's a thrilling, unprecedented opportunity for change - yet democracy is also under threat.
Women are at the forefront of the fight for democratic rights, as well as being the most vulnerable when those rights disappear. Here, eleven extraordinary women - leaders, philosophers, historians, writers and activists - explore democracy's power to uplift our societies. Between its ancient origins and its modern challenges, they share a vision for a better future - one we can build together.
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Democracy and Power-Sharing in Stormy Weather: The Case of Lebanon By Tamirace Fakhoury Mühlbacher (auth.)
2009 | 480 Pages | ISBN: 3531165291 | PDF | 7 MB
Since the inception of the fragile nation-state in 1943, Lebanon has been faced with the constantly unstable predicament of being torn between Middle Eastern and Western orbits. After examining Lebanon's pre-war consociational democracy as well as the factors behind its collapse in 1975, Tamirace Fakhoury Mühlbacher analyses the post-war order (1990-2006) by shedding light on both interrelated phenomena: communal power-sharing in a turbulent environment and Lebanon's "hybrid democratisation" between Syrian tutelage and the impulses for more liberalisation against the backdrop of exogenous and endogenous factors. The author analyses in detail Lebanon's uncertain 2005 system transition, the so-called 'Beirut Spring', and its aftermath. In a critical perspective, she highlights fundamental communal and political dynamics that result from the collision of internal and external conflict lines on Lebanese ground, and how the former have impeded balanced power-sharing and democratisation in the small Arab Republic. This book is essential reading for researchers and students from the social sciences, in particular sociology and political science.
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Demographic Change and Housing Wealth:: Home-owners, Pensions and Asset-based Welfare in Europe By John Doling, Marja Elsinga (auth.)
2013 | 164 Pages | ISBN: 9400743831 | PDF | 2 MB
Across the EU, populations are shrinking and ageing. An increasing burden is being placed on a smaller working population to generate the taxes required for pensions and care costs. Welfare states are weakening in many countries and across Europe, households are being increasingly expected to plan for their retirement and future care needs within this risky environment. At the same time, the proportion of people buying their own home in most countries has risen, so that some two-thirds of European households now own their homes. Housing equity now considerably exceeds total European GDP. This book discusses questions like: to what extent might home ownership provide a potential cure for some of the consequences of ageing populations by realizing housing equity in order to meet the consumption needs of older people? What does this mean for patterns of inheritance and longer-term inequalities across Europe? And to what extent are governments banking on their citizens utilising their housing wealth now and in the future?
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Janet Hulstrand, "Demystifying the French: How to Love Them, And Make Them Love You"
English | 2019 | ISBN: 1543953514 | EPUB | pages: 120 | 0.7 mb
Demystifying the French: How to Love Them, and Make Them Love You is aimed at first-time visitors to France as well as long-term expatriates. Designed to help readers "crack the code," avoid common mistakes, and get off on the right foot with the French, the book begins with five easy-to-follow essential tips "for even brief encounters" by introducing a few French phrases―and how to say them―that will pave the way for a positive experience in France. The tips are followed by 10 chapters that go into a deeper explanation of French habits, manners, and ways of viewing the world. Hulstrand shares the perspective she has gained in nearly 40 years of time spent living, working, teaching, and traveling in France, and illustrates the principles she is discussing with sometimes touching, and often amusing, personal anecdotes. Her deep admiration and affection for the French people is clear, but she also knows that they can "require special handling" and provides helpful, practical tips on how to do so, inviting readers to learn from her mistakes. Reflections contributed by David Downie, Adrian Leeds, Harriet Welty Rochefort, and other well-known commentators on Franco-American cultural differences provide additional perspective and depth. A glossary of French terms that is both substantive and whimsical provides surprising insights into historical as well as cultural reasons for the French being "the way they are." Aimed mainly at an American audience, this book will be helpful for anyone who wants to better understand the French, and have fun while doing so.
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