Category: Ebook

wallstreetjournal 20251220 TheWallStreetJournal

General:

Name: wallstreetjournal 20251220 TheWallStreetJournal
Format: pdf
Size: 28.8 MB

Book:

Title: War at the Wall Street Journal
Author: Sarah Ellison
Language: English
Year: 2010
Subjects: Writing & Publishing, Words, Language & Grammar
Publisher: Tantor Audio
ISBN: 9781627555814
Total pages: 56

Description:

This is a tale about big business, an imploding dynasty, a mogul at war, and a deal that sums up an era of change. The main character, rocked by feuding factions and those who would remake it, is the Wall Street Journal, which affects the thoughts, votes, and stocks of two million readers daily. Sarah Ellison, while at the Journal, won praise for covering the $5-billion acquisition that transformed the pride of Dow Jones and the estimable but eccentric Bancroft family into the jewel of Rupert Murdoch’s kingdom.
Going above and beyond her original reporting and the accounts of others, Ellison uses her knowledge of the paper and its people to go deep inside the landmark transaction – and also far beyond it, into the rocky transition when Murdoch’s crew tussled with old Journal hands and geared up for battle with the New York Times. With access to all the players, Ellison moves from newsrooms (where editors duel) to estates (where the Bancrofts go at it like the Ewings). She shows Murdoch, finally, for who he is: maneuvering, firing, and undoing all that the Bancrofts had protected.
Here is a superlative account of a deal with reverberations beyond the news, told with the storytelling savvy that transforms big stories into timeless chronicles of American life and power.

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wallstreetjournal 20251205 TheWallStreetJournal

General:

Name: wallstreetjournal 20251205 TheWallStreetJournal
Format: pdf
Size: 27.83 MB

Book:

Title: War at the Wall Street Journal
Author: Sarah Ellison
Language: English
Year: 2010
Subjects: Writing & Publishing, Words, Language & Grammar
Publisher: Tantor Audio
ISBN: 978-0307498861
Total pages: 42

Description:

This is a tale about big business, an imploding dynasty, a mogul at war, and a deal that sums up an era of change. The main character, rocked by feuding factions and those who would remake it, is the Wall Street Journal, which affects the thoughts, votes, and stocks of two million readers daily. Sarah Ellison, while at the Journal, won praise for covering the $5-billion acquisition that transformed the pride of Dow Jones and the estimable but eccentric Bancroft family into the jewel of Rupert Murdoch’s kingdom.
Going above and beyond her original reporting and the accounts of others, Ellison uses her knowledge of the paper and its people to go deep inside the landmark transaction – and also far beyond it, into the rocky transition when Murdoch’s crew tussled with old Journal hands and geared up for battle with the New York Times. With access to all the players, Ellison moves from newsrooms (where editors duel) to estates (where the Bancrofts go at it like the Ewings). She shows Murdoch, finally, for who he is: maneuvering, firing, and undoing all that the Bancrofts had protected.
Here is a superlative account of a deal with reverberations beyond the news, told with the storytelling savvy that transforms big stories into timeless chronicles of American life and power.

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wallstreetjournal 20251203 TheWallStreetJournal

General:

Name: wallstreetjournal 20251203 TheWallStreetJournal
Format: pdf
Size: 18 MB

Book:

Title: War at the Wall Street Journal
Author: Sarah Ellison
Language: English
Year: 2010
Subjects: Writing & Publishing, Words, Language & Grammar
Publisher: Tantor Audio
ISBN: 978-0307498861
Total pages: 32

Description:

This is a tale about big business, an imploding dynasty, a mogul at war, and a deal that sums up an era of change. The main character, rocked by feuding factions and those who would remake it, is the Wall Street Journal, which affects the thoughts, votes, and stocks of two million readers daily. Sarah Ellison, while at the Journal, won praise for covering the $5-billion acquisition that transformed the pride of Dow Jones and the estimable but eccentric Bancroft family into the jewel of Rupert Murdoch’s kingdom.
Going above and beyond her original reporting and the accounts of others, Ellison uses her knowledge of the paper and its people to go deep inside the landmark transaction – and also far beyond it, into the rocky transition when Murdoch’s crew tussled with old Journal hands and geared up for battle with the New York Times. With access to all the players, Ellison moves from newsrooms (where editors duel) to estates (where the Bancrofts go at it like the Ewings). She shows Murdoch, finally, for who he is: maneuvering, firing, and undoing all that the Bancrofts had protected.
Here is a superlative account of a deal with reverberations beyond the news, told with the storytelling savvy that transforms big stories into timeless chronicles of American life and power.

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wallstreetjournal 20250809 TheWallStreetJournal

General:

Name: wallstreetjournal 20250809 TheWallStreetJournal
Format: pdf
Size: 24.33 MB

Book:

Title: War at the Wall Street Journal
Author: Sarah Ellison
Language: English
Year: 2010
Subjects: Writing & Publishing, Words, Language & Grammar
Publisher: Tantor Audio
ISBN: 9781627555814
Total pages: 50

Description:

This is a tale about big business, an imploding dynasty, a mogul at war, and a deal that sums up an era of change. The main character, rocked by feuding factions and those who would remake it, is the Wall Street Journal, which affects the thoughts, votes, and stocks of two million readers daily. Sarah Ellison, while at the Journal, won praise for covering the $5-billion acquisition that transformed the pride of Dow Jones and the estimable but eccentric Bancroft family into the jewel of Rupert Murdoch’s kingdom.
Going above and beyond her original reporting and the accounts of others, Ellison uses her knowledge of the paper and its people to go deep inside the landmark transaction – and also far beyond it, into the rocky transition when Murdoch’s crew tussled with old Journal hands and geared up for battle with the New York Times. With access to all the players, Ellison moves from newsrooms (where editors duel) to estates (where the Bancrofts go at it like the Ewings). She shows Murdoch, finally, for who he is: maneuvering, firing, and undoing all that the Bancrofts had protected.
Here is a superlative account of a deal with reverberations beyond the news, told with the storytelling savvy that transforms big stories into timeless chronicles of American life and power.

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Walker A Go in Action (MEAP v8) 2ed 2025

General:

Name: Walker A Go in Action (MEAP v8) 2ed 2025
Format: pdf
Size: 4.52 MB

Book:

Title: Go in Action, Second Edition
Author: welcome.html
Language: angielski
Year: 2017
Subjects: N/A
Publisher: Wydawnictwo: Riptide Publishing
ISBN: 9781626495722
Total pages: 244

Description:

Pete Griflow is the last person anyone would suspect of being a porn star. He’s quiet, gawky, and can’t even talk to guys without turning red. But on camera, he’s a different person. In the porn world, he’s Jaden Prime, a coquettish power bottom who’s been tantalizing fans for over a year now.

Pete is in a rut, though, and he knows it. And what’s worse, his boss knows it. If he can’t reignite his passion for the biz, he’s going to have trouble paying his none-too-cheap college tuition.

When Pete is given the opportunity to star in a huge summer production, sparks fly between him and his costar, Kyle Darko. Kyle is Pete’s opposite: he’s daring, achingly sexy, and in love with the sex industry. Their chemistry is palpable on and off screen, but dating on a porn set is tricky. Even pros struggle to separate fantasy from reality, especially with a script dictating their seduction. But what’s building between them can’t be ignored, and it’s so much more than getting some “action.”

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Vootukuri N Exploring Azure Container Apps Apps and Microservices 2025

General:

Name: Vootukuri N Exploring Azure Container Apps Apps and Microservices 2025
Format: pdf
Size: 13.28 MB

Book:

Title: Exploring Azure Container Apps
Author: Naga Santhosh Reddy Vootukuri
Language: English
Year: 2025
Subjects: N/A
Publisher: Apress Aug 2025
ISBN: 9798868814853
Total pages: 276

Description:

Equip yourself with the knowledge and tools needed to harness the full potential of Azure Container Apps, Microsoft’s cutting-edge platform for orchestrating and scaling containerized applications effortlessly.
Begin your journey with an introduction to Azure Container Apps (ACA), uncovering its unique features, benefits, and use cases. Further, you will dive into setting up and using Azure Container Registry (ACR) to efficiently store and manage container images, while mastering best practices for access control and security. You will also explore the intricacies along with comprehensive guides on deployment, scaling, and troubleshooting. You will learn how to integrate the Distributed Application Runtime (Dapr) with Azure Container Apps, explore best practices for seamless integration, and leverage its powerful building blocks for state management and pub/sub mechanisms. In conclusion, you will navigate the complexities of communication between microservices within Azure Container Apps environments, exploring various communication patterns and techniques.
After reading this book, you will be able to work with ACA and implement the modern application deployment and scaling with Azure Container Apps with KEDA.
What You Will Learn:
· Building and Deploying Backend API and Frontend UI to ACA
· Communication between different Microservices inside ACA
· Integration with Distributed Application Runtime (Dapr)
· State management inside ACA
· Scheduling and managing backend jobs
· Monitoring with Application insights
· Kubernetes Event Driven AutoScaler (KEDA)
Who This Book is For:
Application developers, DevOps Engineers and Tech Enthusiasts

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Verstraete F Why Nobody Understands Quantum Physics 2025

General:

Name: Verstraete F Why Nobody Understands Quantum Physics 2025
Format: pdf
Size: 5.36 MB

Book:

Title: Why Nobody Understands Quantum Physics
Author: Frank Verstraete & Céline Broeckaert
Language: English
Year: 2026
Subjects: Physics, Science, History & Philosophy, History, Mathematics, Marriage
Publisher: Pan
ISBN: 1035065886
Total pages: 360

Description:

This audiobook includes forewords read by the authors, Frank Verstraete and Céline Broeckaert.

The International Bestseller

‘Ambitious . . . pleasingly full of cutting-edge topics – New Scientist

‘A physics book unlike any other. The scope, depth and artistry are breathtaking’ – John Preskill, theoretical physicist and Feynman Professor of Theoretical Physics at Caltech

Quantum physics is the cornerstone of our world. Yet, at the same time, it’s one of the hardest subjects for ordinary mortals to grasp.

In Why Nobody Understands Quantum Physics, a husband-and-wife team – renowned physicist Frank Verstraete and writer Céline Broeckaert – demystifies this essential branch of science. Together, they unravel the reasons the universe behaves in its weird ways – and just why it’s so important to understand them.

In this book, you will discover:

• How symmetry governs the universe.
• The untold stories of pioneering women in quantum science.
• How quantum principles power our gadgets and lives.
• The real essence behind quantum puzzles and discoveries.

Part-history and part-popular science, Why Nobody Understands Quantum Physics serves as a bridge between the complex world of quantum physics and the curious mind, simplifying without diluting and enlightening without overwhelming.

‘Entertaining, unorthodox and highly readable’ – Professor Ian Stewart, bestselling co-author of The Science of Discworld

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Verdhan V Data Without Labels Practical unsupervised machine learning 2025

General:

Name: Verdhan V Data Without Labels Practical unsupervised machine learning 2025
Format: pdf
Size: 38.83 MB

Book:

Title: Data Without Labels
Author: Vaibhav Verdhan
Language: English
Year: 2025
Subjects: N/A
Publisher: Manning
ISBN: 1617298727
Total pages: 354

Description:

Discover all-practical implementations of the key algorithms and models for handling unlabeled data. Full of case studies demonstrating how to apply each technique to real-world problems.

In Data Without Labels you’ll learn:

• Fundamental building blocks and concepts of machine learning and unsupervised learning
• Data cleaning for structured and unstructured data like text and images
• Clustering algorithms like K-means, hierarchical clustering, DBSCAN, Gaussian Mixture Models, and Spectral clustering
• Dimensionality reduction methods like Principal Component Analysis (PCA), SVD, Multidimensional scaling, and t-SNE
• Association rule algorithms like aPriori, ECLAT, SPADE
• Unsupervised time series clustering, Gaussian Mixture models, and statistical methods
• Building neural networks such as GANs and autoencoders
• Dimensionality reduction methods like Principal Component Analysis and multidimensional scaling
• Association rule algorithms like aPriori, ECLAT, and SPADE
• Working with Python tools and libraries like sci-kit learn, numpy, Pandas, matplotlib, Seaborn, Keras, TensorFlow, and Flask
• How to interpret the results of unsupervised learning
• Choosing the right algorithm for your problem
• Deploying unsupervised learning to production
• Maintenance and refresh of an ML solution

Data Without Labels introduces mathematical techniques, key algorithms, and Python implementations that will help you build machine learning models for unannotated data. You’ll discover hands-off and unsupervised machine learning approaches that can still untangle raw, real-world datasets and support sound strategic decisions for your business.

Don’t get bogged down in theory-the book bridges the gap between complex math and practical Python implementations, covering end-to-end model development all the way through to production deployment. You’ll discover the business use cases for machine learning and unsupervised learning, and access insightful research papers to complete your knowledge.

Foreword by Ravi Gopalakrishnan.

About the technology

Generative AI, predictive algorithms, fraud detection, and many other analysis tasks rely on cheap and plentiful unlabeled data. Machine learning on data without labels-or unsupervised learning-turns raw text, images, and numbers into insights about your customers, accurate computer vision, and high-quality datasets for training AI models. This book will show you how.

About the book

Data Without Labels is a comprehensive guide to unsupervised learning, offering a deep dive into its mathematical foundations, algorithms, and practical applications. It presents practical examples from retail, aviation, and banking using fully annotated Python code. You’ll explore core techniques like clustering and dimensionality reduction along with advanced topics like autoencoders and GANs. As you go, you’ll learn where to apply unsupervised learning in business applications and discover how to develop your own machine learning models end-to-end.

What’s inside

• Master unsupervised learning algorithms
• Real-world business applications
• Curate AI training datasets
• Explore autoencoders and GANs applications

About the reader

Intended for data science professionals. Assumes knowledge of Python and basic machine learning.

About the author

Vaibhav Verdhan is a seasoned data science professional with extensive experience working on data science projects in a large pharmaceutical company.

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Varghese K Research Methodology and Quantitative Techniques A Guide 2025

General:

Name: Varghese K Research Methodology and Quantitative Techniques A Guide 2025
Format: pdf
Size: 7.3 MB

Book:

Title: Research Methodology and Quantitative Techniques; A Guide for Interdisciplinary Research
Author: K.A. Varghese; B.R. Ranwah; Nisha Varghese; Nikhil Varghese
Language: English
Year: 2025
Subjects: N/A
Publisher: Routledge
ISBN: 1032840331
Total pages: 264

Description:

Research Methodology and Quantitative Techniques is a guide tailored for students and research scholars navigating the intricate landscape of research degrees across various disciplines.
From clearing coursework to formulating research synopses, selecting methodologies, conducting analysis and penning impactful theses, this book is a roadmap for every stage of the research journey. It empowers scholars to undertake original, quality research that not only fulfills academic requirements but also contributes to the burgeoning pool of knowledge in diverse fields. Uniquely structured to address the specific needs of researchers, this guide goes beyond traditional boundaries, delving into areas like IPRs and research ethics often overlooked in discipline-oriented texts. By offering comprehensive support, from topic selection to publication, it aims to be the go-to resource for researchers seeking a seamless path from inception to dissemination.
This book, Research Methodology and Quantitative Techniques , addresses every facet of research with clarity and insight and serves as both a companion and a vital tool for scholars poised to make a meaningful research impact in their fields.

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Van Griensven T Quantum Computing and Quantum Machine Learning 2025

General:

Name: Van Griensven T Quantum Computing and Quantum Machine Learning 2025
Format: pdf
Size: 16.03 MB

Book:

Title: Quantum Computing and Quantum Machine Learning for Engineers and Developers
Author: Rosas-bustos, Jose; Fraser, Roydon Andrew; Thé, Jesse Van Griensven
Language: English
Year: 2025
Subjects: Computer Science, Physics, Science, Engineering
Publisher: Springer
ISBN: 3031982444
Total pages: 705

Description:

Computer technology has improved exponentially over the last 50 years. But the headroom for bigger and better electronic solutions is running out. Our best hope is to engage the power of quantum physics.
“Quantum algorithms” had already been written long before hardware was built. These would enable, for example, a quantum computer to exponentially speed up an information search or crack the mathematical trick behind internet security. However, making a quantum computer is incredibly difficult. Despite hundreds of laboratories around the world working on them, we are only just seeing them come close to “supremacy”, where they can outperform a traditional computer.
In this approachable introduction to the subject, Brian Clegg explains algorithms and their quantum counterparts, explores the physical building blocks and quantum weirdness necessary to make a quantum computer, and uncovers the capabilities of the current generation of machines.

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