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  Ultimate Robotics Programming...

  Jonathan Cacace

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  Learn Robotics and ROS 2 with Practical Examples
  Book Description
  Robot Operating System (ROS) and Python are essential tools for developing advanced robotics applications, offering reliability and scalability for both research and industrial solutions. Ultimate Robotics Programming with ROS 2 and Python introduces readers to ROS 2 without requiring prior experience in robotics. It blends theoretical explanations with practical exercises, empowering readers to solve specific robotics problems while understanding the reasoning behind various approaches.
  The book covers a broad spectrum of robotics topics, including mobile robots, industrial manipulators, and aerial robots. These systems are simulated using the modern Gazebo simulator and programmed with ROS 2’s out-of-the-box tools and custom solutions using the ROS 2 API. The book also delves into computer vision, generative AI, and machine learning, providing hands-on examples of real-world applications.
  Table of Contents
  1. Introduction to Robot Operating System
  2. Hands-on ROS 2 Programming Using Python
  3. Supplementary Tools for ROS
  4. Robot Visualization and Simulation
  5. Writing Tests Using Pytest for ROS 2 Nodes
  6. Controlling an Inverted Pendulum with a PID Controller
  7. Laser-based Obstacle Avoidance with a Wheeled Mobile Robot
  8. ROS 2 Behaviour Trees Using Python
  9. Surveillance System Using Behaviour Trees
  10. Robot Navigation Using ROS 2 Navigation Stack (Nav2)
  11. Robot Arm Control Using MoveIt
  12. Programming Aerial Robots Using ROS
  13. Computer Vision Using ROS
  14. Object Detection Using ROS
  15. Using Large Language Models with ROS
  16. Deep Reinforcement Learning Using ROS 2       
  
  Index

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  Computer Support Specialist...

  Brian Mahoney

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  End Money Worries! 
  Computer Support Specialist Career Planning Audio Book Bundle Career Planning Audio Book Bundle 
  Discover... 
  * What a Computer Support Specialist does  * How to Become a Computer Support Specialist  * What is the salary of a Computer Support Specialist  
  * What is the Computer Support Specialist Work Environment like * What is the future Job outlook for a Computer Support Specialist  
  * how long does it take to become a Computer Support Specialist * How to Prepare for Your Job Interview 
  * Tips the pros use to Ace their Job Interview  * You'll be confident with the best answers for the toughest job interview questions 
  The knowledge & ability to change your life all for less than the cost of 1 movie ticket! 
   If you are ready to get started & want the knowledge, help & motivation to change your life now!... 
  How to start a YouTube Channel & Make Money 
  Discover... 
  * Why YouTube is Essential for Business Marketing * Creating a YouTube Marketing Strategy 
  *Creating Engaging Video Content *Optimizing Your YouTube Channel  
  *Monetizing your YouTube Channel *Measuring your YouTube Marketing Success 
  *YouTube Shorts Video & Channel Promotion 
  So take advantage of this chance for a lifetime passive income stream from YouTube! 
  Goal Setting Mastery: A Action Plan to Achieving Your Dreams 
  Now you you can take advantage of this goal setting audio book & discover how to achieve success in all aspects of your life: 
  * Understanding the Power of Goal Setting * How to set meaningful goals using the SMART Method 
  * Creating a Action Plan * Reviewing & adjusting your Goals  * Using Goal Setting in all areas of Your life 
  So Don't wait. You'll wait your life away...

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  The Driving Machine - A Design...

  Witold Rybczynski

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  In this lively and entertaining work, Witold Rybczynski—hailed as "one of the best writers on design working today" by Publishers Weekly—tells the story of the most distinctive cars in history and the artists, engineers, dreamers, and gearheads who created them. Delving into more than 170 years of ingenuity in design, technology, and engineering, he takes us from Carl Benz's three-wheel motorcar in 1855 to the present-day shift to electric cars. Along the way, he looks at the emergence of mass production with Henry Ford's Model T; the Golden Age of American car design and the rise of car culture; postwar European subcompacts typified by the Mini Cooper; and the long tradition of the streamlined and elegant sports car. 
   
   
   
  Rybczynski explores how cars have been reflections of national character (the charming Italian Fiat Cinquecento), icons of a subculture (the VW bus for American hippies), and even emblems of an era (the practical Chrysler minivan). He explains key developments in automotive technology, including the electric starter, rack-and-pinion steering, and disc brakes, bringing to light how the modern automobile is the result of more than a century of trial and error. And he weaves in charming accounts of the many cars he's owned and driven, starting with his first—the iconic Volkswagen Beetle. The Driving Machine is a fascinating history of design.

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  Taming Silicon Valley - How We...

  Gary Marcus

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  On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future. 
   
   
   
  Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed. Taming Silicon Valley is a must-listen for every concerned citizen.

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  Distributed Ledger Technology -...

  Richard Carrey

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  Embark on a journey through the decentralized frontier with "Distributed Ledger Technology" This comprehensive guide unravels the intricacies of Distributed Ledger Technology (DLT), offering a deep dive into the revolutionary world of blockchain and its transformative impact on diverse industries. 
  Starting with the foundations of DLT, the book demystifies complex concepts such as blockchain, hash functions, and cryptography, providing readers with a solid understanding of the technological underpinnings. Explore the evolution of consensus mechanisms, from traditional Proof of Work to innovative approaches like Proof of Stake, and understand the significance of smart contracts in reshaping digital landscapes. 
  Delve into real-world applications as the book navigates through the finance sector, showcasing the rise of cryptocurrencies, digital assets, and the disruptive force of decentralized finance (DeFi). Beyond finance, witness how DLT is reshaping healthcare, supply chain management, real estate, and even voting systems, ushering in an era of transparency, security, and efficiency. 
  However, the journey isn't without challenges. Uncover the scalability issues, security concerns, and the evolving regulatory landscape that accompany the rise of decentralized systems. From the environmental impact to privacy considerations, the book addresses the ethical dimensions of DLT, ensuring a balanced exploration of its potential risks and rewards. 
  "Distributed Ledger Technology" is not just a book; it's a roadmap to the future, inviting readers to join the decentralized movement and navigate the ever-expanding horizons of Distributed Ledger Technology. Whether you're a tech enthusiast, business leader, or simply curious about the next wave of innovation, this book is your gateway to understanding and participating in the decentralized revolution. 
    
   

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  Ultimate Machine Learning with...

  Parag Saxena

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  Master the Art of Data Munging and Predictive Modeling for Machine Learning with Scikit-Learn
  Book Description
  “Ultimate Machine Learning with Scikit-Learn” is a definitive resource that offers an in-depth exploration of data preparation, modeling techniques, and the theoretical foundations behind powerful machine learning algorithms using Python and Scikit-Learn.
  Beginning with foundational techniques, you'll dive into essential skills for effective data preprocessing, setting the stage for robust analysis. Next, logistic regression and decision trees equip you with the tools to delve deeper into predictive modeling, ensuring a solid understanding of fundamental methodologies. You will master time series data analysis, followed by effective strategies for handling unstructured data using techniques like Naive Bayes.
  Transitioning into real-time data streams, you'll discover dynamic approaches with K-nearest neighbors for high-dimensional data analysis with Support Vector Machines(SVMs). Alongside, you will learn to safeguard your analyses against anomalies with isolation forests and harness the predictive power of ensemble methods, in the domain of stock market data analysis.
  By the end of the book you will master the art of data engineering and ML pipelines, ensuring you're equipped to tackle even the most complex analytics tasks with confidence.
  Table of Contents
  1. Data Preprocessing with Linear Regression
  2. Structured Data and Logistic Regression
  3. Time-Series Data and Decision Trees
  4. Unstructured Data Handling and Naive Bayes
  5. Real-time Data Streams and K-Nearest Neighbors
  6. Sparse Distributed Data and Support Vector Machines
  7. Anomaly Detection and Isolation Forests
  8. Stock Market Data and Ensemble Methods
  9. Data Engineering and ML Pipelines for Advanced Analytics
  Index

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