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Basic Electronics: Theory and Practice
English | 2020 | ISBN: B08BPK1VW2 | Pages: 546 | EPUB (True) | 3.94 MB
This updated edition introduces students and hobbyists to electronics, covering microcontrollers, sensors, and wireless communication. Each chapter includes a lab, progressing to building a robot with Arduino and Netduino. New material on Raspberry Pi and Python is included, with companion files featuring videos and code samples.

The course begins with basic electronics concepts, building circuits, and understanding components. It covers digital theory and practical applications with sensors, motors, and microcontrollers. Topics include electricity theory, currents, circuits, tools, safety, and components like resistors, capacitors, diodes, and transistors. Advanced topics include power supplies, soldering, digital theory, integrated circuits, memory, and microcontrollers.
These concepts are crucial for innovation in electronics. This book transitions readers from basic labs to constructing a robot using open-source hardware. It covers Raspberry Pi projects and explores cybersecurity and IoT. Appendices include math for electronics, a timeline of innovations, careers in electronics, and a glossary. This guide provides both theoretical knowledge and practical skills, making it invaluable for mastering electronics.

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Basic Generative AI: Beginner's Guide to Artificial Intelligence, ChatGPT and Machine Learning, Practical AI Applications
English | 2024 | ISBN: 1963333209 | 208 pages | Epub | 2.15 MB
BASIC GENERATIVE AI - Beginner's Guide to Artificial Intelligence

Are you fascinated by apps like Microsoft's ChatGPT and Google's Gemini but unsure how you can utilize them to their full potential?
Have you wondered how ChatGPT could aid you in writing, editing, and even gaming?
Understanding and integrating Generative AI into daily life can seem daunting. But it's not as difficult as you might think. In fact, with the right guide, anyone can harness the power of AI !
Introducing 'Basic Generative AI' - your ultimate guide to understanding and applying Generative AI in your everyday routines.
This book breaks down complex AI principles into understandable, easy to follow terms.
Here's what's waiting inside:
Unlock the secrets of Generative AI - find the answers you were looking for and debunk the myths that might be holding you back
A deep dive into top AI platforms such as ChatGPT, Gemini, Claude, Perplexity and Bard - explained in a way anyone can understand
How to make money online with your own AI business - tips, tricks, and strategies
Explanation of the 'do's and don'ts' of AI
Comprehensive walkthroughs and prompts for using AI in real-life scenarios such as writing and editing.
Practical use-cases and real-life examples to inspire you
Overview of top online resources for learning and mastering Generative AI
Navigating potential AI privacy and bias pitfalls - ways to ensure your AI use is ethically sound
And so much more!
But, don't just take our word for it.
AI doesn't have to be complicated. This book was written with simplicity and accessibility in mind, without compromising on comprehensive and actionable information. From the budding AI enthusiast to the tech-savvy innovator, this guide caters to all levels of curiosity and skill.

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[booksz]

Basic Math for AI: A Beginner's Quickstart Guide to the Mathematical Foundations of Artificial Intelligence (AI Fundamentals)
English | 2024 | ASIN: B0D6CBPX2M | 142 pages | PDF | 2.77 MB
Free Bonus Included-A Copy of Andrew Hinton's Limited Edition Book Titled "The Power of AI."

Are you intrigued by Artificial Intelligence but overwhelmed by the mathematical foundations necessary to understand and develop AI technologies?
You are not alone. "Basic Math for AI" is here to bridge that gap.
This comprehensive guide demystifies the essential mathematics needed to dive into the world of AI. It's accessible to everyone, from students to professionals eager to enhance their understanding and skills.
"Basic Math for AI" starts with the basics. It explains why mathematics is not just useful but crucial for AI.
The book is structured to gradually build your knowledge from fundamental concepts to more complex theories. This methodical approach ensures a solid understanding of each mathematical principle as it applies to AI applications.
Whether you are a beginner looking to get a head start or an experienced practitioner aiming to revisit and solidify your mathematical skills, this book offers a clear and structured approach to learning.
From "Basic Math for AI:"
Master key mathematical concepts such as algebra, calculus, and linear algebra, which are pivotal for AI.
Explore specialized topics like probability, statistics, and optimization techniques tailored to machine learning and AI algorithms.
Gain practical insights with sections dedicated to applying mathematics in AI, including machine learning, dynamic systems, and more.
Understand complex variables, differential equations, and numerical methods that elevate your ability to solve real-world AI problems.
Benefit from detailed summaries at the end of each chapter that reinforce learning and ensure retention of key concepts.
Prepare for the future with discussions on current trends, ethical considerations, and interdisciplinary approaches in AI.
Don't let a lack of mathematical knowledge keep you from advancing in AI.
Grab your copy of "Basic Math for AI" today and start unlocking the mathematical secrets behind artificial intelligence!
Whether you're reading to learn, to teach, or to implement, this book is an essential resource for anyone ready to enhance their mastery of math for AI.

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[booksz]

Basic Mathematical Foundations of AI: Hands on with Python (Mastering Machine Learning)
English | 2024 | ISBN: B0DBQ37ZMJ | Pages: 521 | PDF | 9.63 MB
Unveil the power of AI with this comprehensive guide to the fundamental mathematical foundations behind it. Whether you're a beginner or an advanced learner, this book is the perfect resource to dive deep into the mathematics that underpin artificial intelligence and machine learning.

With clear explanations and practical examples, each chapter focuses on a specific topic and includes Python code and multiple-choice review questions to reinforce your understanding. From linear equations to advanced techniques like deep learning and reinforcement learning, you will gain a solid understanding of the mathematical concepts essential for working in the field of AI.
In this comprehensive book, you will learn:
- Solving systems of linear equations using matrix methods.
- Exploring quadratic equations and their applications in optimization.
- Finding eigenvalues and eigenvectors for feature extraction.
- Decomposing matrices using algorithms like LU Decomposition and SVD.
- Implementing gradient descent for linear regression and neural networks.
- Estimating linear regression parameters using Ordinary Least Squares (OLS).
- Modeling binary outcomes with logistic regression.
- Applying the softmax function for multiclass classification.
- Understanding various activation functions and their role in neural networks.
- Training neural networks using backpropagation.
- Classifying data using K-Nearest Neighbors and decision trees.
- Harnessing the power of ensemble methods with random forests.
- Maximizing margins with support vector machines.
- Reducing dimensionality with principal component analysis (PCA).
- Discriminating between classes using linear discriminant analysis (LDA).
- Applying probabilistic classification with Naive Bayes.
- Clustering data points using K-Means and Gaussian Mixture Models.
- Modeling sequential data with Hidden Markov Models and Markov Chains.
- Applying filtering algorithms like Particle Filters and Kalman Filters.
- Extracting features with convolutional neural networks (CNN).
- Modeling sequence data with recurrent neural networks (RNN) and LSTMs.
- Enhancing RNNs with attention mechanisms and transformer networks.
- Exploring generative modeling with autoencoders, VAEs, and GANs.
- Mastering reinforcement learning basics, Q-learning, and actor-critic methods.
- Understanding Bayesian inference, Gaussian processes, and MCMC methods.
- Solving complex optimization problems with linear programming, integer programming, and convex optimization.
- Implementing dynamic programming, A* search algorithm, and PageRank.
- Analyzing text data with Latent Dirichlet Allocation (LDA) and matrix factorization.
- Preventing overfitting and regularization techniques like ridge regression and lasso regression.
- Optimizing non-linear functions with Newton's method and stochastic gradient descent.
- Implementing batch gradient descent and mini-batch gradient descent.
- Applying regularization techniques like dropout and batch normalization.
- Boosting weak classifiers with AdaBoost and gradient boosting machines (GBM).
- Visualizing high-dimensional data with t-SNE dimensionality reduction.

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Basics Interactive Design: Interface Design: An introduction to visual communication in UI design by Dave Wood
English | September 3, 2019 | ISBN: 1350140856 | 192 pages | MOBI | 55 Mb
If you want to design successful user interfaces then you need clear and effective visual communication. Interface Design will help you achieve this using a range of incisive case studies, interviews with professional designers and clear hands-on advice to help you produce user-focused front-end designs for a range of digital media interfaces. This book introduces the major elements of graphic design for digital media - layout, colour, iconography, imagery and typography, and shows how these visual communication basics can combine to produce positive interactive user experiences. With practical advice on improving communication between designers and developer, and a tantalizing look at designing interactivity for all five senses, this is a must-have introduction to developing interfaces that users will love.

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Basics of Python Programming: A Quick Guide for Beginners by Krishna Kumar Mohbey, Malika Acharya
English | December 8, 2023 | ISBN: 9815179640 | 279 pages | MOBI | 34 Mb
Basics of Python Programming: A Quick Guide for Beginners is an essential companion to mastering the Python programming language. The book presents information about Python in 12 structured chapters with a strong emphasis on fundamentals and practical information. Starting with basic operators, functions and expressions, contents explain file handling, exception handling and modules. The book concludes with advanced topics such as object oriented programming and machine learning.

Key Features:
-Fundamental Focus: Covers the core concepts of Python programming to build a strong foundation in python programming in an easy-to-understand format.
-Practical Demonstrations: Learn by doing. This textbook includes hands-on practical demonstrations that reinforce your understanding of Python concepts.
-IDE Guidance: Includes programming and installation guidance for Python-supporting Integrated Development Environments (IDEs).
-Explores Python Frameworks: Introduces Python frameworks such as MatDescriptionlib, TensorFlow, PyTorch, Scikit-Learn, and NLTK for complex projects.
-Python for Machine Learning: Gives a preliminary understanding of Python for machine learning tasks for data science and AI applications.
Basics of Python Programming: A Quick Guide for Beginners is the perfect starting point for aspiring students, programmers and tech enthusiasts. Whether you're a student looking to build a solid foundation in Python or an industry professional venturing into machine learning and artificial intelligence, this textbook has you covered.

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Battery Management Systems: Design and implementation for EVs
English | 2025 | ISBN: B0F93FZCWB | Pages: 73 | EPUB (True) | 934.39 KB
Are you a student, young engineer, or curious learner eager to understand the brains behind electric vehicles? This book is your gateway to one of the most vital technologies shaping the future of mobility,

Battery Management Systems (BMS)
.
Written in simple, beginner-friendly language, this comprehensive guide walks you through the fundamentals of battery technology, electric vehicle architecture, BMS hardware and software components, safety protocols, and much more. Whether you're entering the EV industry or looking to build a strong foundation in battery systems, this book delivers real-world insights and practical knowledge.
Inside, you'll learn:
How batteries work and why they need a management system
The components and design principles behind modern BMS
Techniques for battery state estimation and thermal control
Communication and safety standards used across the EV industry
Future trends, innovations, and the evolving role of BMS in electric mobility
With clear explanations and helpful diagrams, this book is ideal for students,or professionals starting their journey in electrical engineering or electric vehicle development.
Start your journey into the heart of electric vehicles, one battery at a time.

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Patrick Bishop - Battle of Britain: A day-to-day chronicle, 10 July 1940 to 31 October 1940
Quercus Publishing | 2009 | ISBN: 1847249841 | English | 398 pages | PDF | 194.26 MB
The latest in an ambitious series of illustrated historical chronicles from Quercus, Battle of Britain is a compelling, day-by-day account of Britain's fight for national survival. The progress of the battle is described in an evocative and stylish narrative, amplified by an impressive array of authentic documentary materials and other illustrative features, including contemporary photographs, posters, and newspaper headlines, plus aircraft diagrams and maps. Eye-witness accounts, diary extracts, and pilot profiles bring the battle's heroes and victims, triumphs and tragedies unforgettably to life. In Battle of Britain Patrick Bishop has created a memorable and visually stunning record of one of the decisive moments of 20th-century history. A fittingly vast, sumptuous, and ambitious work on Britain's fight for national survival, no one with an interest in the history of World War II or of modern Britain will wish to be without it.

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Bayesian Machine Learning in Quantitative Finance: Theory and Practical Applications
English | 2025 | ISBN: 3031884302 | 453 Pages | PDF EPUB (True) | 53 MB
This book offers a comprehensive discussion of the Bayesian inference framework and demonstrates why this probabilistic approach is ideal for tackling the various modelling problems within quantitative finance. It demonstrates how advanced Bayesian machine learning techniques can be applied within financial engineering, investment portfolio management, insurance, municipal finance management as well as banking.

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Bayesian Methods in Finance: Probabilistic Approaches to Market Uncertainty
English | 2024 | ISBN: B0DK6RKKS1 | Pages: 425 | EPUB (True) | 810.49 KB
"Bayesian Methods in Finance: Probabilistic Approaches to Market Uncertainty" offers an authoritative exploration of how Bayesian statistics can transform financial analysis into a more predictive and adaptive process. Within the rapidly evolving tapestry of global financial markets, the ability to quantify uncertainty and integrate diverse streams of information stands as a crucial advantage. This book expertly demystifies the intricate principles of Bayesian thinking, guiding readers through its application across a spectrum of financial contexts, from asset pricing to risk management and portfolio construction. Through a careful blend of theory and practical insights, it introduces the reader to Bayesian frameworks that eclipse traditional models in both flexibility and robustness, making them indispensable tools for modern investors and financial professionals.

Readers will find a clear roadmap for navigating the complex landscape of market dynamics with the confidence that comes from sound, data-driven strategies. By integrating Bayesian approaches with machine learning, this text unlocks more nuanced analyses and predictive capabilities, catering to both novice learners and experienced market strategists. Rich with real-world case studies, each chapter not only illuminates techniques but also showcases their powerful applications in decision-making processes. Embark on a deep dive into the future of financial modeling, where the calculated embrace of uncertainty opens doors to innovative solutions and unparalleled insights.

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Because: A CIA Coverup & A Son's Odyssey To Find The Father He Never Knew by James B. Wells
English | June 15th, 2025 | ISBN: 9798988745686 | 364 pages | True EPUB | 6.83 MB
James B. Wells was only nine when his father, Jack, an Army veteran working for USAID as a senior public safety officer in 1965, died in an Air America plane crash in Vietnam.

Decades later, James discovers hundreds of letters in his mother's home and embarks on a thirty-three-year odyssey to uncover the truth and meaning behind his whistleblower father's covered-up and still CIA-classified death.
Through archival and field research across two continents and a meticulous reconstruction of his father's life-from Jack's love for God, family, country, duty, and truth to the circumstances of a coverup-a son finally connects with the father he barely knew and seeks peace with what he learns and what he may never know.

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Becoming a Data Analyst: Skills, Tools, and Real-World Strategies
English | 2025 | ISBN: 9798231835966 | Pages: 123 | EPUB (True) | 1.33 MB
In an increasingly data-driven world, the work of a data analyst has never been more important-or in more demand. Every click, purchase, survey answer, and sensor reading adds to the massive amount of data that businesses, governments, and organizations must deal with on a daily basis. However, raw data is useless until it is interpreted by specialists.

This book, Becoming a Data Analyst: Skills, Tools, and Real-World Strategies, is a comprehensive guide designed for aspiring and early-career analysts who seek to transform data into insights, and insights into action.
The motivation behind this book stems from the growing need to bridge the gap between technical proficiency and strategic thinking. Too often, data professionals are trained either in tools without understanding the business context, or in theoretical models without practical application.
This book takes a holistic approach. It not only introduces the foundational skills and technologies required in modern data analytics, but also emphasizes how to apply them to solve real-world problems, communicate findings effectively, and make data-driven decisions that matter.
This book contain eight chapters, Chapter One lays the groundwork by introducing the field and its importance in modern decision-making. Chapters Two and Three dive into essential skills and tools, including statistical reasoning, data wrangling, SQL, and visualization platforms. Chapters Four through Six focus on the analytics lifecycle-collecting, cleaning, exploring, and visualizing data-equipping readers to work on complete data projects. Chapter Seven offers a practical look at machine learning, helping analysts understand when and how to apply predictive models. Finally, Chapter Eight provides guidance for breaking into and thriving in the job market, including portfolio-building, networking, and interview strategies.
Throughout the book, real-life examples, visual aids, case studies, and sample datasets are used to reinforce learning and show the tangible impact data analysts can have across industries-from healthcare and finance to marketing and public policy. Whether you are a student, a career changer, or a junior analyst looking to deepen your knowledge, this book is written with you in mind.
Above all, this book reflects a core belief: Data is only as powerful as the people who use it wisely. My hope is that by the end of this journey, you will not only know how to analyze data-but how to turn it into compelling stories, better decisions, and meaningful changes.

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Becoming Caitlin Clark: The Unknown Origin Story of a Modern Basketball Superstar by Howard Megdal
English | June 17, 2025 | ISBN: 1637277954 | True EPUB | 256 pages | 3.4 MB
Combining modern reportage with historical revelations, a multifaceted portrait of Caitlin Clark's game-changing superstardom and the cultural foundation it was built upon

Caitlin Clark has established herself as one of the global faces of the WNBA and has ignited popular interest in women's sports. Her ascent to dominance and international celebrity represents the continuation of a surprisingly deep lineage for women's basketball in the state of Iowa where Clark was born and raised, and where she wrote her name throughout the NCAA history books as a Hawkeye.
Spanning 100 years and several generations, Becoming Caitlin Clark traces the arc between the revered women who played the wildly popular game of 6-on-6 basketball in the 1920s and Clark in the 2020s, examining her fame and style of play in the context of her predecessors, while telling the story of the basketball-loving community that rallied behind her in college and beyond.
Howard Megdal's storytelling incorporates in-depth conversations with Clark; her coach Lisa Bluder; her Iowa teammates, including WNBA star Kate Martin; the top assistant coach at Iowa, Jan Jensen; the Caitlin Clark of the 1970s, Molly Bolin; vital figures in the growth of Iowa basketball like C. Vivian Stringer and Jolette Law; and even Jensen's grandmother Dorcas Andersen, who scored 89 points in the Iowa state tournament in 1921 and kept journals as she did so, brought to light here for the first time.
From rural auditoriums to the Indiana Fever's Gainbridge Fieldhouse, this intimate yet kaleidoscopic perspective on the modern game and its newest icon makes this an essential read for WNBA and college basketball fans.

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Becoming Neolithic: The Pivot of Human History
by Trevor Watkins
English | 2024 | ISBN: 0415221528 | 233 Pages | True PDF | 17.4 MB

Becoming Neolithic examines the revolutionary transformation of human life that was taking place around 12,000 years ago in parts of southwest Asia. Hunter-gatherer communities were building the first permanent settlements, creating public monuments and symbolic imagery, and beginning to cultivate crops and manage animals.
These communities changed the tempo of cultural, social, technological and economic innovation. Trevor Watkins sets the story of becoming Neolithic in the context of contemporary cultural evolutionary theory. There have been 70 years of international inter-disciplinary research in the field and in the laboratory. Stage by stage, he unfolds an up-to-date understanding of the archaeology, the environmental and climatic evidence and the research on the slow domestication of plants and animals. Turning to the latest theoretical work on cultural evolution and cultural niche construction, he shows why the transformation accomplished in the Neolithic began to accelerate the scale and tempo of human history. Everything that followed the Neolithic, up to our own times, has happened in a different way from the tens of thousands of years of human evolution that preceded it.
This well-documented account offers a useful synthesis for students of prehistoric archaeology and anyone with an interest in our prehistoric roots. This new narrative of the first rapid transformation in human evolution is also informative to those interested in cultural evolutionary theory.

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[booksz]

Beginner Projects with Vanilla JavaScript: DS - JavaScript - Beginner Level Series, #10
English | 2025 | ISBN: 9798231356850 | 1,215 pages | Epub | 6.44 MB
Beginner Projects with Vanilla JavaScript: Fun and Practical Projects to Learn Core JavaScript Without Frameworks

Master JavaScript fundamentals through 15 hands-on projects that will transform you from curious beginner to confident developer.
Are you tired of JavaScript tutorials that leave you confused and unable to build anything on your own? Do framework tutorials overwhelm you before you've even mastered the basics? This project-based guide offers the perfect solution: learn JavaScript by actually using it to create real, functional applications you can proudly add to your portfolio.
Why This Book Is Different:
Unlike most programming books that dump theoretical concepts and syntax rules on you, "Beginner Projects with Vanilla JavaScript" takes a practical, hands-on approach. Each chapter guides you through building a complete project from scratch using nothing but pure JavaScript-no frameworks, no libraries, just the essential skills that form the foundation of all modern web development.
What You'll Build:
Journey through 15 carefully crafted projects that gradually increase in complexity:
Interactive Elements:
Create a click counter and color flipper that respond instantly to user actions
Practical Tools:
Build a functional digital clock, tip calculator, and password generator
Dynamic Applications:
Develop a complete to-do list application and expense tracker with data persistence
Games and Entertainment:
Program a rock-paper-scissors game, number guessing challenge, and quiz application
API Integration:
Connect to external services to build a weather app and joke generator
User Experience:
Design an image carousel, form validation tool, and countdown timer
What You'll Learn:
As you progress through these projects, you'll naturally master essential JavaScript concepts including:
DOM manipulation and traversal techniques
Event handling and interactive user interfaces
ES6+ modern syntax and features
Local storage for saving user data
Asynchronous programming with Promises and Fetch API
Array methods and data transformation
Conditional logic and complex decision structures
Functions, scope, and modular programming principles
Perfect For:
Complete beginners who want to learn JavaScript through practical application
Web designers looking to add programming skills to their toolkit
Students who need to supplement theoretical coursework with hands-on practice
Self-taught developers wanting to fill gaps in their foundational knowledge
Anyone who has struggled with abstract JavaScript tutorials and wants a different approach
Valuable Extras:
Five comprehensive appendices provide quick-reference guides to:
JavaScript fundamentals refresher
Essential DOM methods and properties
Modern ES6 syntax overview
Basic CSS styling tips for clean interfaces
Step-by-step instructions for hosting your projects online
From curiosity to confidence-learn JavaScript by doing!

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[booksz]

Beginner's Guide to Machine Learning Concepts
English | 2024 | ISBN: B0DJYH2MPV | Pages: 573 | EPUB (True) | 787.61 KB
IntroducingBeginner's Guide to Machine Learning Concepts

: Master Key Algorithms and System Design to Build Robust Machine Learning Models-the perfect guide to help you navigate the exciting and ever-evolving world of machine learning. No maths emphasis. Enjoy the theory without maths.
Why This Book?
Whether you are a beginner looking to get started or someone with experience looking to deepen your knowledge, this book provides a comprehensive introduction to machine learning and the systems that make it work. Here's what you'll gain:
Understand Core Concepts:
Learn the fundamentals of machine learning, fromlinear regressionandneural networksto advanced topics likereinforcement learninganddimensionality reduction.
Master Essential Algorithms:
Grasp the key algorithms that power machine learning systems, such asdecision trees,support vector machines, andclustering algorithmslike K-means.
Build Robust Models:
Explore how to design machine learning models that are not only accurate but also efficient and scalable for real-world applications.
Hands-On Learning:
Practical examples and case studies are included to help you apply machine learning in industries likehealthcare,finance, ande-commerce.
Data Handling Techniques:
Learn how to preprocess, clean, and visualize data to ensure that your models are fed with high-quality information.
Neural Networks and Deep Learning:
Take a deep dive into neural networks, understanding the architecture, training process, and applications forimage recognition,natural language processing, and beyond.
Model Evaluation and Tuning:
Learn the best practices for model evaluation, including cross-validation, and discover advanced techniques for optimizing your models.
Who Is This Book For?
This book is ideal forstudents,professionals, andaspiring machine learning engineerswho want to understand the concepts behind the technology that powers modern artificial intelligence. No prior experience with machine learning is required!
Why Wait?
Equip yourself with the essential skills to build machine learning systems that solve real-world problems. With clear explanations, practical examples, and a deep dive into critical algorithms, this book is your key to mastering machine learning.Click 'Buy Now' to begin your journey today!

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[booksz]

Beginner's Guide to Reading Schematics, Fourth Edition
English | 2018 | ISBN: B07FLJNXHW | Pages: 224 | EPUB (True) | 4.25 MB
This updated resource shows how to interpret schematic diagrams-and design your own

Written by an experienced engineer, this easy-to-follow TAB guide shows, step-by-step, how to navigate the roadmaps of electronic circuits and systems. Filled with new illustrations and DIY examples, the book clearly explains how to understand and create high-precision electronics diagrams. You will discover how to identify parts and connections, interpret element ratings, and apply diagram-based information in your own projects.
Beginner's Guide to Reading Schematics, Fourth Edition
, also contains valuable appendices covering symbols, resistor color codes, and parts suppliers.
Up-to-date coverage includes:
*Block, schematic, and pictorial diagrams
*Resistors and capacitors
*Inductors and transformers
*Switches, relays, conductors, and cables
*Diodes, transistors, Op amps, and logic gates
*Electron tubes , cells, and batteries
*Voltage dividers and reducers
*Simple and complex circuits
*Breadboards and wire wrapping
*Electronics troubleshooting
*Digital electronics and functional circuits
*And much more

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[booksz]

Beginners' Artificial Intelligence and Python Programming: For Grades 4 to 8
English | 2020 | ASIN: B0859J23YR | 104 pages | EPUB (True) | 33.96 MB
The book demystifies the concept of Artificial Intelligence (AI) in a friendly manner to kids, with the goal of stimulating their curiosity and driving their interest in learning about AI. After the generic introductions to the core concepts like machine learning, deep learning and reinforcement learning, the students are guided into step-by-step programming with Python. The intention is to transit beyond the traditional code-first approach to understanding broad concepts that will sufficiently motivate a desire to learn coding.

The book is useful to any beginner, kids or adult, who desires to build basic knowledge in the general concept of Artificial Intelligence

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[booksz]

Beginning R: An Introduction to Statistical Programming By Dr. Joshua F. Wiley, Larry A. Pace (auth.)
2015 | 337 Pages | ISBN: 1484203747 | PDF | 11 MB
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions. This book shows the use of R in specific use cases such as simulations, discrete probability solutions, one-way ANOVA analysis, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.

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[booksz]

Being an Oak by Laurent Tillon
English | 2025 | ISBN: 1804183403 | 288 pages | True EPUB | 8.2 MB
The enchanting biography of an ancient tree.

For over two centuries, as rulers have risen and fallen and wars have raged, one majestic oak tree has lived out an epic drama. From germination in 1780 to adapting to the changing climate of the modern age, its struggles and triumphs took place far from human eyes. That is, until one day a young man named Laurent Tillon came across it, and a decades-long relationship began ...
In this dazzling book, biodiversity expert Tillon narrates the story of the tree he calls Quercus. Evoking the richness which is all around us, he reveals that Quercus is embedded in a network of ever-shifting relationships, from close alliances between plants and animals to battles between insects, birds and fungi.A book of ecology unlike any other, Being An Oak offers a tree-eyed view of life on earth.
Translated by the award-winning translator Jessica Moore.

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