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  • Coding and Robotics
    Coding and Robotics

    Meet Sammy. This cute little peanut butter and jelly sandwich is actuallya robot that teaches coding principles and skills to children in grades K-2. You don’t need a tablet, smartphone, or computer to program this robot;programs are created by simply laying down a sequence of physical code cards. As the robot drives over the code cards, an OID optical scanner on the bottomof the robot reads the code cards one by one and loads the program.Next,place the robot on a grid made of map cards, and the robot runs the program. You can program the robot to move in different directions, activate its outputgear, light up its LED, play sounds, and respond to different function cards. The integrated output gear makes it possible to build simple robotic creationswith arms or other moving parts that respond according to the program’sinstructions.This robot kit also teaches physical engineering and problemsolving skills through a series of building and coding lessons.The 30 lessonsare aligned with standards for computer science education developed by theComputer Science Teachers Association (CSTA) and the International Society forTechnology (ISTE) Education, as well as courses from Code. org. The lessonsprogress in complexity through the illustrated manual, allowing the kit to beappropriate for a child as young as four years with help from an adult and asold as eight years.The lessons cover these six key areas in coding:sequencing, loops, events, conditionals, functions, and variables.In additionto Sammy, there are five other stories, each with a series of model-buildingand coding challenges and lessons related to it: a mouse moves through a mazeto find cheese; a penguin wanders around a zoo; a soccer player moves a ballinto the goal; a fire truck puts out a fire; and a factory robot performstasks in a factory scene.A full-colour illustrated manual guides usersthrough the coding lessons and the assembly of the different models.

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  • Programming Machine Learning : From Coding to Deep Learning
    Programming Machine Learning : From Coding to Deep Learning

    You've decided to tackle machine learning - because you're job hunting, embarking on a new project, or just think self-driving cars are cool.But where to start? It's easy to be intimidated, even as a software developer.The good news is that it doesn't have to be that hard.Master machine learning by writing code one line at a time, from simple learning programs all the way to a true deep learning system.Tackle the hard topics by breaking them down so they're easier to understand, and build your confidence by getting your hands dirty.Peel away the obscurities of machine learning, starting from scratch and going all the way to deep learning.Machine learning can be intimidating, with its reliance on math and algorithms that most programmers don't encounter in their regular work.Take a hands-on approach, writing the Python code yourself, without any libraries to obscure what's really going on.Iterate on your design, and add layers of complexity as you go.Build an image recognition application from scratch with supervised learning.Predict the future with linear regression. Dive into gradient descent, a fundamental algorithm that drives most of machine learning.Create perceptrons to classify data. Build neural networks to tackle more complex and sophisticated data sets.Train and refine those networks with backpropagation and batching.Layer the neural networks, eliminate overfitting, and add convolution to transform your neural network into a true deep learning system.Start from the beginning and code your way to machine learning mastery.What You Need: The examples in this book are written in Python, but don't worry if you don't know this language: you'll pick up all the Python you need very quickly.Apart from that, you'll only need your computer, and your code-adept brain.

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  • KittenBot TabbyBot Programming Robotics Kit For micro:bit STEM Mini Coding Robot Car
    KittenBot TabbyBot Programming Robotics Kit For micro:bit STEM Mini Coding Robot Car


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  • Culture Coding : Harness technology and artificial intelligence to empower your business culture and performance
    Culture Coding : Harness technology and artificial intelligence to empower your business culture and performance

    In the midst of the Fourth Industrial Revolution, your organisation must harness technology, artificial intelligence and digital tools to stay ahead in your field. Fail to do so, and you won’t survive. Culture Coding provides five keys to building a digitally focused, constructive culture that engages staff, delivers for clients and ensures success. It shows you how to take advantage of technology, AI and behavioural science to enable a culture for digital and sustainable business growth, whether you lead a startup, an SME or a multinational enterprise. Read this book to: • Understand why open-sourced technology and AI are central to streamlining business services • Identify where and how AI can make the most difference to your organisation • Use gamification to maintain consistent staff and client engagement and keep making marginal gains in the new relationship economy • Apply behavioural science and digital strategies to become an emotionally intelligent business • Ensure your organisation is cyber-resilient

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  • Which programming language is used for robotics and artificial intelligence?

    Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.

  • Where can one find coding programming assignments?

    One can find coding programming assignments on various online platforms such as coding websites, coding bootcamps, and online learning platforms. Websites like Codecademy, LeetCode, and HackerRank offer a wide range of coding assignments and challenges for practice. Additionally, coding bootcamps often provide students with programming assignments as part of their curriculum. Online learning platforms like Coursera, Udemy, and edX also offer programming assignments as part of their courses in computer science and programming.

  • Do you learn coding or programming in school?

    Yes, many schools offer coding or programming classes as part of their curriculum. These classes often start at a young age and continue through high school. Students may learn languages such as Python, Java, or HTML, and gain skills in problem-solving, logic, and critical thinking. Additionally, some schools offer extracurricular coding clubs or activities to further support students' interest in programming.

  • Is machine learning already artificial intelligence?

    Machine learning is a subset of artificial intelligence. It involves training a machine to learn from data and make predictions or decisions without being explicitly programmed to do so. Artificial intelligence, on the other hand, encompasses a broader range of technologies and applications that enable machines to perform tasks that typically require human intelligence, such as understanding natural language, recognizing patterns, and solving problems. While machine learning is an important component of artificial intelligence, AI also includes other techniques such as natural language processing, computer vision, and robotics.

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  • Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
    Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation


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  • Food Engineering Automation with Robotics and AI
    Food Engineering Automation with Robotics and AI


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  • Coding Club Python: Programming Art Supplement 1
    Coding Club Python: Programming Art Supplement 1

    Create artistic applications to explore your creative side!Reinforce your programming knowledge from Python Basics and learn a few more tricks with this fun level 1 book.Activities include extending your Etch-a-Sketch and building your own drawing app. The code is suitable for Mac, Windows and Linux users and therefore compatible with the Raspberry Pi.

    Price: 10.25 £ | Shipping*: 3.99 £
  • Robotics for Young Children : STEM Activities and Simple Coding
    Robotics for Young Children : STEM Activities and Simple Coding

    Many early childhood professionals are unfamiliar with computer science, robotics, and engineering concepts.This user-friendly and accessible book gives teachers great ideas for engaging young children with 100 exciting, hands-on computer science and engineering activities.The book can be easily included in a developmentally appropriate curriculum and offer a balance of adult-facilitated and child-centered activities.

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  • What is the difference between the coding and non-coding strand?

    The coding strand, also known as the sense strand, is the DNA strand that has the same sequence as the mRNA that is transcribed from it. This means that the coding strand has the same sequence as the resulting protein. On the other hand, the non-coding strand, also known as the template strand, is the DNA strand that is used as a template for the synthesis of mRNA during transcription. It has a complementary sequence to the mRNA and does not directly code for the protein.

  • What is Huffman coding?

    Huffman coding is a method used for lossless data compression, where variable-length codes are assigned to different characters based on their frequencies in the input data. This technique ensures that more frequent characters are assigned shorter codes, while less frequent characters are assigned longer codes, resulting in overall compression of the data. Huffman coding is widely used in various applications, such as file compression algorithms and data transmission protocols, to reduce the size of data without losing any information.

  • How can one learn coding?

    One can learn coding through a variety of resources such as online tutorials, coding bootcamps, and formal education programs. There are many websites and platforms that offer free or paid coding courses, such as Codecademy, Coursera, and Udemy. Additionally, joining coding communities and forums can provide valuable support and guidance from experienced programmers. It's also important to practice coding regularly and work on real-world projects to gain practical experience and improve skills.

  • Are there any coding errors?

    No, there are no coding errors in the provided text.

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