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[booksz]

Data Science: Concepts, Strategies, and Applications
English | November 4, 2023 | ASIN: B0CMRWYDNS | 130 pages | EPUB (True) | 718.44 KB
Dive into the heart of data-driven discovery with 'Data Science: Concepts, Strategies, and Applications.' This comprehensive guide takes you on a transformative journey through the intricate world of data science, unraveling its core concepts, machine learning algorithms, and practical applications. Explore the ethical considerations woven into data analysis, ensuring responsible practices in every decision made. From preprocessing techniques and feature engineering to model evaluation and deployment strategies, this book equips both beginners and experts with essential skills. Delve into the cutting-edge realms of advanced AI, including reinforcement learning, generative adversarial networks, and quantum computing applications. Fusing theoretical knowledge with real-world insights, this book is your go-to resource for mastering data science. Whether you're a novice aspiring to enter the field or a seasoned professional, this guide empowers you to navigate the complexities of data science and harness its transformative potential.

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[booksz]

Data Science Essentials: Machine Learning and Natural Language Processing
English | June 17, 2023 | ASIN: B0C8GVJL71 | 70 pages | EPUB (True) | 564.61 KB
Are you ready to dive into the exciting world of Data Science? In today's data-driven society, understanding and harnessing the power of information has become essential for success in any field.

This comprehensive guide takes you on a journey through the core principles, methodologies, and applications of Data Science.
Topics:
Data Visualization
Machine Learning
Data Mining
Natural Language Processing
Artificial Intelligence
Deep Learning
Neural Networks

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[booksz]

Data Science with Oracle Miner and R Enterprise
English | 2023 | ASIN: None | 592 pages | Epub | 10.31 MB
Data science involves a wide array of technologies and statistical algorithms. This makes it difficult to automate each and every aspect of it. However, there are some areas in data science that can be automated using scripts and workflows.

At a high level, we can classify data science automation into the following categories:
Repetitive tasks automation: Repetitive tasks are those that have to be done every time while building models. Data extraction, data cleaning, and basic data
transformations such as imputing null values and algorithm-specific transformations are some tasks that fall into this category. These are to be done even for the same set of data every time. Automating these tasks would take some of the burdens off of a data scientist so they can concentrate more on solving business problems.
Automated statistician: This is an area of data science automation where statistical routines and machine learning are automated. The system executes the best algorithm based on the provided data set. It hides the intricacies and mathematical complexity of algorithms from the user. The user needs to provide automated statisticians with data. It understands the data, creates different mathematical models, and returns the result based on the model that best explains the data. It is still at a nascent stage and an active area of research.
Problem-specific automation: This involves automating a data science process based on the problem at hand. This eases a user of carrying out the same activity for a specific problem several times. For example, the data scientist of an organization develops a model for predicting future sales of an organization. Based on an organization's requirement, this activity has to be carried out at different time frames, say monthly or quarterly. Each time, a wide array of tasks have to be performed, such as extracting the data, preprocessing it, creating statistical models, and returning the results back to the business operation's database. If this whole process is automated, it drives agile business decisions, better customer focus, and operationally efficient and managed resources.

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[booksz]

Data Science with SQL Server Quick Start Guide: Integrate SQL Server with data science
English | 2018 | ASIN: B07H2WJFWW | 196 Pages | PDF EPUB (True) | 15 MB
SQL Server only started to fully support data science with its two most recent editions. If you are a professional from both worlds, SQL Server and data science, and interested in using SQL Server and Machine Learning (ML) Services for your projects, then this is the ideal book for you.

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Data Sharing für KMU: Voraussetzungen und Instrumente für die gemeinsame Nutzung von Daten
Deutsch | 2025 | ISBN: 3662712083 | 289 Pages | PDF (True) | 15 MB
Ein bewusster Umgang mit Daten ist für Unternehmen wichtiger denn je: Sie fördern Innovation in Geschäftsmodellen, erfordern aber auch einen effizienten und nachhaltigen Datenumgang. Unternehmen, die Daten teilen und nutzen, wirtschaften effizienter durch Data Sharing. In diesem Fachbuch werden verschiedene Aspekte des Data Sharings aus unternehmensübergreifender und -interner Perspektive, vorwiegend mit Blick auf kleine und mittelständische Unternehmen (KMU), betrachtet. Die Autor:innen untersuchen, wie Unternehmen Anreize schaffen können, um erfolgreich an der Datenökonomie teilzunehmen, aber auch welche externen Bedingungen gegeben sein sollten, um Unternehmen in die Lage zu versetzen, ihre ökonomischen Potenziale in Bezug auf Daten zu maximieren.

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Data-centric Approaches to Industrial Decisions: Technology, Digitisation and Business Decisions (Asset Analytics) by P. K. Kapur, Omar Alhazmi, Shakshi Singhal
English | August 31, 2025 | ISBN: 9819675553 | 485 pages | Epub PDF (True) | 56 Mb
This book explores mathematical modeling, predictive analytics, and interdisciplinary tools in formulating, implementing, and evaluating industrial strategies.This book presents cutting-edge research that intersects advanced computational techniques with practical decision-making across industries. This edited book showcases a curated collection of peer-reviewed contributions from international scholars and practitioners, addressing the growing complexity of business decisions in the era of big data, AI, and digital transformation.

From cyber-physical systems to sustainability analytics and business intelligence, each chapter provides a robust academic foundation while offering real-world implications for policymakers, managers, and researchers.
With a focus on actionable insights, the book is a vital reference for operations research, analytics, and digital strategy professionals and an enriching resource for postgraduate and doctoral scholars across business and engineering disciplines.

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Data-Driven Reproductive Health: Role of Bioinformatics and Machine Learning Methods by Abhishek Sengupta, Priyanka Narad, Gaurav Majumdar
English | October 18, 2024 | ISBN: 9819774500 | 242 pages | MOBI | 4.27 Mb
This book provides insight into the transformative impact of data-driven approaches on reproductive health. Chapters cover a wealth of intricate algorithms of genomic analysis, predictive modeling, and personalized treatment strategies, providing an up-to-date view of the reproductive healthcare landscape. With more than 20 code-based examples, the book decodes complex biological data using bioinformatics and machine learning and provides valuable insights into fertility, genetic disorders, and personalized medicine.

This book is relevant for healthcare professionals, researchers, and students in the fields of reproductive medicine, bioinformatics, and genetics.

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Databricks for Not Dummies - Master Databricks in Seven Days: Learn Databricks, Big Data, and Cloud Analytics - No Fluff, Just Real Knowledge
English | March 3, 2025 | ASIN: B0DZ942M3V | 299 pages | Epub | 1.67 MB
Databricks for Not Dummies - Skip the Fluff, Master Databricks & PySpark Fast

Forget "Databricks for Dummies" - this is Databricks for Doers. In just seven days, you'll go from beginner to confident practitioner with this no-nonsense, hands-on guide to Databricks, PySpark, and big data analytics.
Whether you're a data engineer, data analyst, or data scientist, this book cuts through the noise to give you exactly what you need: real-world skills, real code, and real results.
What You'll Learn (No Theory Overload)
* Databricks Demystified
Understand clusters, notebooks, Spark architecture, and the Databricks workspace with clarity and speed.
* PySpark Like a Pro
Work confidently with DataFrames, Spark SQL, joins, aggregations, UDFs, and machine learning workflows.
* Build Real Data Pipelines
Construct and optimize ETL pipelines using Delta Lake, Structured Streaming, and performance tuning techniques.
* Cloud Integration Made Easy
Connect Databricks with AWS, Azure, GCP, Power BI, and Tableau for end-to-end data solutions.
* Enterprise-Grade Security
Implement Unity Catalog, fine-grained access control, and best practices in data governance.
* Certification and Career Advancement
Prepare for official Databricks certifications and position yourself for high-demand data roles.
Why This Book?
* Not for dummies - built for achievers
* Not theory-heavy - 100% practical and example-driven
* Not outdated - aligned with modern, cloud-native data practices
From your first PySpark notebook to real-time streaming and secure, scalable pipelines, this book delivers a full-stack Databricks experience without wasting your time.
Who Should Read This Book?
* Beginners seeking a clear, fast path to Databricks mastery
* Professionals tired of abstract tutorials and endless documentation
* Data teams onboarding to Databricks
* Anyone who searched for "Databricks for dummies" but wants something smarter, sharper, and actually useful
Technologies Covered:
* Apache Spark
* PySpark
* Delta Lake
* Databricks SQL
* Structured Streaming
* MLlib
* Unity Catalog
* AWS, Azure, GCP Integrations
Whether you're building modern data platforms, scaling pipelines, or pursuing your next promotion, this book is your practical guide to mastering Databricks.

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[booksz]

Databricks ML in Action: Learn how Databricks supports the entire ML lifecycle end to end from data ingestion to the model deployment
English | May 17, 2024 | ASIN: B0958P9PX9 | 451 pages | EPUB (True) | 31.47 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 Features
Build machine learning solutions faster than peers only using documentation
Enhance or refine your expertise with tribal knowledge and concise explanations
Follow along with code projects provided in GitHub to accelerate your projects
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Discover what makes the Databricks Data Intelligence Platform the go-to choice for top-tier machine learning solutions. Written by a team of industry experts at Databricks with decades of combined experience in big data, machine learning, and data science, 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 learn
Set up a workspace for a data team planning to perform data science
Monitor data quality and detect drift
Use autogenerated code for ML modeling and data exploration
Operationalize ML with feature engineering client, AutoML, VectorSearch, Delta Live Tables, AutoLoader, and Workflows
Integrate open-source and third-party applications, such as OpenAI's ChatGPT, into your AI projects
Communicate insights through Databricks SQL dashboards and Delta Sharing
Explore data and models through the Databricks marketplace
Who 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 Contents
Getting Started with This Book and Lakehouse Concepts
Designing Databricks: Day One
Building Out Our Bronze Layer
Getting to Know Your Data
Feature Engineering on Databricks
Searching for a Signal
Productionizing ML on Databricks
Monitoring, Evaluating, and More

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Daughters of Batavia by Stefanie Koens
English | 29 July 2025 | ISBN: 1460766164 | True EPUB | 384 pages | 3.8 MB
A woman searching for answers in her own life finds them - and much more - in the wreckage and haunting stories of the Batavia shipwreck.

The powerfully moving historical debut from the winner of the Banjo Prize for Fiction. For all fans of Natasha Lester, Lauren Chater and Tea Cooper.
Two women. One shipwreck. And four centuries of secrets.
Shortly before Christmas in 2018, Tess McCarthy, after years as a hard-working English teacher who never did anything out of the ordinary, flies to Western Australia's remote Abrolhos Islands. She is in search of answers - both to the infamous Batavia shipwreck and her personal family crises.
Amsterdam, 1628. Saskia, an orphaned young Dutchwoman, boards Batavia with relatives, bound for a new and potentially dangerous life in the East Indies - only for her world to first collide with Aris Jansz, the ship's taciturn under surgeon.
Tess, Saskia and Aris - their lives linked by secrets that span generations - carry the baggage of past losses and the uncertainty of their futures. And, in the most unlikely circumstances, they may find qualities that echo through centuries: faith, acceptance, and love.

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David Guetta : L'Homme qui a Révolutionné la Musique Électro: De DJ parisien à icône mondiale : Son parcours, ses succès planétaires et ses secrets de résilience (French Edition) by Antoine Loiseau
French | January 12, 2025 | ISBN: N/A | ASIN: B0DSWMZJ89 | 103 pages | EPUB | 0.43 Mb
Découvrez l'histoire captivante de David Guetta, l'artiste qui a révolutionné la musique électronique et transformé un genre underground en phénomène mondial. Ce livre retrace le parcours exceptionnel du DJ et producteur français, de ses débuts modestes dans les clubs parisiens à son ascension fulgurante en tant que superstar internationale. À travers des anecdotes exclusives, des collaborations légendaires avec des stars comme Rihanna, Sia et Nicki Minaj, et des performances spectaculaires dans des festivals emblématiques comme Tomorrowland et Ultra Music Festival, plongez au cœur de la carrière d'un visionnaire.

Explorez les moments clés de son parcours, de la création de hits planétaires comme Titanium, When Love Takes Over et Sexy Bitch, à son rôle de pionnier dans le mouvement Future Rave. Découvrez également l'homme derrière l'artiste, ses valeurs personnelles, ses engagements humanitaires et son impact durable sur l'industrie musicale. Que vous soyez un fan de longue date ou un amateur de musique curieux, ce livre offre une immersion totale dans l'univers de David Guetta.
Avec une analyse approfondie de sa discographie, une chronologie détaillée de ses grands moments, et des réflexions sur son héritage culturel, cet ouvrage est une source d'inspiration pour les passionnés de musique et les artistes en devenir. Apprenez comment Guetta a su allier innovation, créativité et stratégie pour s'imposer comme un ambassadeur incontournable de la musique électronique.

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[booksz]

Day Trading Techniques Without Technicalities: More than 30 Simple and Profitable Techniques
English | June 23, 2020 | ASIN: B08BS3DQZN | 82 pages | PDF | 1.85 MB
This illuminating guide delves into the intricate yet scientific aspects of navigating the volatile world of financial markets. Contrary to common perception, day trading is not a mere game of chance; it is a calculated science that involves reading the market with precision and making informed decisions at the right moment to emerge victorious.

The book is structured into three insightful parts:
Part I: Techniques, Tricks, and Tactics: This section introduces 17 techniques, tricks, and tactics that offer a unique perspective on day trading, providing traders with a diverse range of approaches to navigate market complexities without solely relying on technical analysis tools.
Part II: Unveiling Technical Proficiency in Plain Language: Here, the book simplifies six dependable technical tools and indicators, including the ADX Indicator, which gauges the strength of a stock's trend, and the ATR Indicator which guides traders on setting stop-loss orders for optimizing profitability and minimal risk. These tools are explained in a way that is accessible even to beginners, providing valuable insights into market dynamics and enhancing the ability to make profitable day-to-day trades.
Part III: Utilizing Moving Averages and Oscillators for Strategic Trading: Navigate the complexities of Simple Moving Averages, Exponential Moving Averages, and Moving Average Convergence and Divergence. Learn how these indicators, through crossovers, provide timely alerts for optimal buying and selling opportunities. Additionally, decode signals from the Relative Strength Index, Stochastic, and Bollinger Bands to discern overbought and oversold conditions, guiding traders on opportune moments for transactions.
With over 30 meticulously explained techniques, this book serves as a comprehensive resource. Readers will gain a deep understanding of rational trading decisions supported by tested strategies employed by successful traders across stocks, futures, indices, commodities, and forex markets. Elevate your day trading skills and embark on a journey toward consistent profitability. Take the next step in mastering the art of day trading with this invaluable guide.

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Steve Bouser, "Death of a Pinehurst Princess: The 1935 Elva Statler Davidson Mystery "
English | ISBN: 159629180X | 2010 | 208 pages | AZW3 | 3 MB
A news media frenzy hurled the quiet resort community of Pinehurst into the national spotlight in 1935 when hotel magnate Ellsworth Statler's adopted daughter was discovered dead early one February morning, only weeks after her wedding day.

A politically charged coroner's inquest failed to determine a definitive cause of death, and the following civil action continued to expose sordid details of the couple's lives. More than half a century later, the story was all but forgotten when local resident Diane McLellan spied an old photograph at a yard sale and became obsessed with solving the mystery. Her enthusiastic sleuthing captured the attention of Southern Pines resident and journalist Steve Bouser, who takes readers back to those blustery winter days so long ago in the search to reveal what really happened to Elva Statler Davidson.
Read more

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Debre Libanos 1937: The Most Serious War Crime Suffered by Ethiopia
by Paolo Borruso
English | 2023 | ISBN: 1032369604 | 195 Pages | True PDF | 2.7 MB

This volume calls attention to the worst massacre of Christians that has occurred on the African continent, a 1937 attack on the monastic village of Debre Libanos that has previously been hidden from public knowledge.
Between 20 and 29 May 1937, about 2000 monks and pilgrims, considered "conniving" in the attack on the fascist Italian viceroy Rodolfo Graziani, were killed in Ethiopia. The attack on Debre Libanos, the most famous sanctuary of Ethiopian Christianity, far exceeded the logic of a strictly military operation. It represented the apex of wide-ranging repressive action, aimed at crushing the Ethiopian resistance and striking at the heart of the Christian tradition for its historical link with the imperial power of the Negus. Although known to scholars, the episode was totally removed from national historical memory.
Now available in English, this book's analysis of the events culminating in the massacre, including the cover-up afterward, is a necessary record for scholars of European colonialism, Christian history, and colonial Africa.

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Declutter Your Heart and Your Home: How a Minimalist Life Yields Maximum Joy by Julia Ubbenga
English | April 15, 2025 | ISBN: 0310368960 | 256 pages | PDF | 2.91 Mb
Declutter Your Heart and Your Home provides tips, tricks, and tools to rid yourself of the internal and external clutter weighing you down, as well as relatable stories and soul-nourishing truths from Scripture to fill your heart and home with what truly matters.

Do you long for a richer life? One with meaning, purpose, and simplicity? One that's lighter, freer, and more focused on who and what matters?
As moms who are busy, stressed out, and living in survival mode, we feel desperate for peace-with ourselves, our families, our homes, and God. But we often don't know how to find it.
God wants us to experience abundant life-and it all starts with clearing clutter, first in our hearts, then in our homes. Julia Ubbenga-creator of the popular blog Rich in What Matters-is a trustworthy guide and companion as she shares the tips, tricks, and inspiring lessons she's learned on her own journey to minimalism. Her book will help you:Identify the unhealthy habits and addictions that disorder your lifeRedefine your relationship with money and the stuff it buysFind freedom from hurry, chaos, and consumerismReclaim God's peace in your heart and your home
This journey toward simplicity will transform your life.

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[booksz]

Deep Learning with MXNet Cookbook: Discover an extensive collection of recipes for creating and implementing AI models on MXNet by Andrés P. Torres, Paul Newman
English | December 29, 2023 | ISBN: 1800569602 | 370 pages | EPUB | 23 Mb
Gain practical, recipe-based insights into the world of deep learning using Apache MXNet for flexible and efficient research prototyping, training, and deployment to production.

Key FeaturesA step-by-step tutorial towards using MXNet products to create scalable deep learning applicationsImplement tasks such as transfer learning, transformers, and more with the required speed and scalabilityAnalyze the performance of models and fine-tune them for accuracy, scalability, and speedBook Description
MXNet is an open-source deep learning framework that allows you to train and deploy neural network models and implement state-of-the-art (SOTA) architectures in CV, NLP, and more. With this cookbook, you will be able to construct fast, scalable deep learning solutions using Apache MXNet.
This book will start by showing you the different versions of MXNet and what version to choose before installing your library. You will learn to start using MXNet/Gluon libraries to solve classification and regression problems and get an idea on the inner workings of these libraries. This book will also show how to use MXNet to analyze toy datasets in the areas of numerical regression, data classification, picture classification, and text classification. You'll also learn to build and train deep-learning neural network architectures from scratch, before moving on to complex concepts like transfer learning. You'll learn to construct and deploy neural network architectures including CNN, RNN, LSTMs, Transformers, and integrate these models into your applications.
By the end of the book, you will be able to utilize the MXNet and Gluon libraries to create and train deep learning networks using GPUs and learn how to deploy them efficiently in different environments.
What you will learnUnderstand MXNet and Gluon libraries and their advantagesBuild and train network models from scratch using MXNetApply transfer learning for more complex, fine-tuned network architecturesSolve modern Computer Vision and NLP problems using neural network techniquesTrain and evaluate models using GPUs and learn how to deploy themExplore state-of-the-art models with GPUs and leveraging modern optimization techniquesImprove inference run-times and deploy models in productionWho this book is for
This book is ideal for Data scientists, machine learning engineers, and developers who want to work with Apache MXNet for building fast, scalable deep learning solutions. The reader is expected to have a good understanding of Python programming and a working environment with Python 3.6+. A good theoretical understanding of mathematics for deep learning will be beneficial.
Table of ContentsUp and Running with MXNetWorking with MXNet and Visualizing Datasets - Gluon and DataLoaderSolving Regression ProblemsSolving Classification ProblemsAnalyzing images with Computer VisionUnderstanding text with Natural Language ProcessingOptimizing Models with Transfer Learning and Fine-TuningImproving Training Performance with MXNetImproving Inference Performance with MXNet

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[booksz]

Deep Swarm and Evolution for Generative Artificial Intelligence
English | 2025 | ISBN: 1032815779 | 267 Pages | PDF (True) | 25 MB
This book provides theoretical and practical knowledge about swarm and evolutionary approach of generative AI and Large Language Models (LLMs). The development of such tools contributes to better optimizing methodologies with the integration of several machinelearning and deep learning techniques. In particular, it discusses how the "emergence" concept can contribute to the improvement of AI.The book aims to model human cognitive f unction in terms of "emergence" and to explain the feasibility of AI. To this end, it focuses on human perceptions of "utility." It describes the emergence of various cognitive errors, and irrational behaviours in the multiobjective situations. It also reviews the cognitive differences and similarities between humans and LLMs. Such studies are important when applying LLMs to real-world tasks that involve human cognition, e.g., financial engineering and market issues.

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DeepSeek AI: The Ultimate Free AI Cheat Code - 200+ Prompts to Write, Sell, & Automate Your Life: Forget Expensive Pro Plans - Unlock the Hidden Power of Free AI & Make It Work Like Magic! by Cipher Hayes
English | February 8, 2025 | ISBN: N/A | ASIN: B0DWL7PD6Z | 61 pages | EPUB | 0.66 Mb
What If You Could Unlock the Full Power of AI - Without Paying a Single Dollar?

Most people waste hours struggling to get useful responses from AI. They think they need a paid version to get better results. But what if I told you that's a lie?
DeepSeek AI is one of the most powerful FREE AI tools, and this book holds the ultimate key to making it work like magic.
With the right prompts, you can make DeepSeek write for you, think for you, and even make money for you-without ever needing a pro version.
What You'll Unlock Inside This Book:
200+ High-Impact AI Prompts for Writing, Selling, & Automating Daily Tasks.
Content That Writes Itself: Blogs, social media posts, marketing emails, and scripts-without spending hours thinking.
Business & Side Hustle Prompts: Sell more, build authority, and create passive income.
AI Hacks for Productivity & Life: Summarize books, generate ideas, plan meals, and even get AI to coach you.
The Secret Prompting Formula that makes AI respond like an expert-every single time.
Stop Paying for AI-Master It Instead.
If you're not using AI the right way, you're falling behind. This book will turn DeepSeek into your ultimate free assistant and give you a massive advantage-whether you're a writer, entrepreneur, marketer, student, or just curious.

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[booksz]

DeepSeek PROFITS : 44 Secrets to Make Money Fast with AI (DeepSeek Mastery Series: From Basics to Brilliance) by Yash Jain
English | February 13, 2025 | ISBN: N/A | ASIN: B0DX7JDW5T | 83 pages | EPUB | 0.93 Mb
DeepSeek PROFITS: 44 Secrets to Make Money Fast with AIUnlock AI-Driven Income Streams and Build Wealth with Cutting edge Strategies

Are you ready to leverage AI to generate fast, scalable, and automated income? DeepSeek PROFITS is your ultimate guide to making money with AI-whether you're an entrepreneur, freelancer, content creator, or simply looking for new ways to boost your earnings.
AI is revolutionizing the way we work, invest, and do business, creating massive opportunities for those who know how to harness its power. With DeepSeek PROFITS, you'll uncover 44 powerful, actionable secrets that will help you maximize profits, streamline processes, and unlock innovative income streams using artificial intelligence.
Inside This Game-Changing Guide, You'll Discover:
The AI Money-Making Revolution - Understand why AI is the greatest wealth-building tool of our time and how you can capitalize on it.
Entering the AI Economy - Learn how to position yourself for success in a world dominated by AI-driven businesses.
Essential AI Tools & Strategies - Find out which AI tools can automate tasks, generate content, and optimize your workflow for maximum profits.
Accelerating Income Streams with AI (Secrets 1-10) - Discover how to use AI for freelance services, e-commerce, content creation, and more.
Scaling Profits in the Digital Era (Secrets 11-20) - Learn strategies for automating businesses, scaling operations, and generating passive income.
Innovative AI Monetization (Secrets 21-30) - Uncover hidden AI income opportunities beyond traditional methods.
Unconventional AI Strategies for Rapid Cash Flow (Secrets 31-40) - Leverage out-of-the-box tactics to create fast, high-impact income streams.
Mastering AI-Driven Success (Secrets 41-44) - Implement expert-level techniques to dominate the AI economy.
Turning Strategy into Action - Get a step-by-step roadmap to transform AI-powered ideas into real, sustainable income.
The Future of AI Profits - Stay ahead of the curve with insights into upcoming AI trends and how they will impact your earnings.
Why This Book?
Unlike other AI books that focus on theory, DeepSeek PROFITS delivers real-world, easy-to-follow strategies that can be applied immediately. Whether you're looking for a side hustle, scaling an existing business, or launching a new venture, this book gives you the roadmap to success.
By the End of This Book, You Will:
✔ Have a clear understanding of how AI can make you money-FAST.
✔ Know exactly which AI tools and platforms to use for different income opportunities.
✔ Learn how to automate, optimize, and scale your earnings with AI-driven solutions.
✔ Be equipped with 44 powerful strategies to turn AI into a money-making machine.
The AI revolution isn't coming-it's already here. Are you ready to take advantage of it?

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[booksz]

DeepSource Automation and Code Quality Excellence: The Complete Guide for Developers and Engineers
English | July 24, 2025 | ASIN: B0FJYG57NB | 236 pages | EPUB (True) | 1.49 MB
"DeepSource Automation and Code Quality Excellence"

"DeepSource Automation and Code Quality Excellence" offers an authoritative exploration of next-generation approaches to automated code quality within modern software development ecosystems. With a clear focus on the intersection of technical rigor and seamless integration, this book guides readers through the core principles of automated analysis, historical evolution of tooling, and the integration of quality checks into contemporary CI/CD pipelines and DevOps workflows. From establishing governance and compliance in codebases to enforcing industry standards through automation, every chapter is meticulously crafted to illuminate both the why and the how of systematic code quality enforcement.
The heart of the book delves into the powerful architecture of the DeepSource platform, revealing its scalable, secure, and highly extensible design. Advanced topics such as static analysis techniques, false positive mitigation, analyzer customization, and machine learning are examined with practical depth, offering insights into building custom rule sets, optimizing analysis workflows, and enabling polyglot codebase coverage. Real-world scenarios demonstrate DeepSource's capacity to fit seamlessly into existing pull request lifecycles, deliver intelligent feedback, automate remediation, and support comprehensive security and compliance mandates across organizations of every scale.
For engineering leaders, architects, and practitioners seeking a transformative approach to code quality, this book delivers actionable guidance on measuring, reporting, and visualizing key quality metrics, as well as orchestrating adoption across legacy and greenfield environments. Forward-looking chapters forecast the future of autonomous code analysis, AI-powered bug repair, open standards, and resilience in automated quality systems. Ultimately, "DeepSource Automation and Code Quality Excellence" is the definitive reference for building resilient, high-performing, and future-proof software organizations anchored in code quality excellence.

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