Python For Machine Learning And Natural Language Processing In Robotics And Autonomous Vehicles
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Python For Machine Learning And Natural Language Processing In Robotics And Autonomous Vehicles
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Author : Mr. Akash Arun Kumar Soumya
language : en
Publisher: BUDHA PUBLICATION
Release Date :
Python For Machine Learning And Natural Language Processing In Robotics And Autonomous Vehicles written by Mr. Akash Arun Kumar Soumya and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Learn Python From An Expert The Complete Guide With Artificial Intelligence
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Author : Edson L P Camacho
language : en
Publisher:
Release Date : 2023-06-08
Learn Python From An Expert The Complete Guide With Artificial Intelligence written by Edson L P Camacho and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-08 with Computers categories.
The Ultimate Guide to Advanced Python and Artificial Intelligence: Unleash the Power of Code! Are you ready to take your Python programming skills to the next level and dive into the exciting world of artificial intelligence? Look no further! We proudly present the comprehensive book written by renowned author Edson L P Camacho: "Advanced Python: Mastering AI." In today's rapidly evolving technological landscape, the demand for AI professionals is soaring. Python, with its simplicity and versatility, has become the go-to language for AI development. Whether you are a seasoned Pythonista or a beginner eager to learn, this book is your gateway to mastering AI concepts and enhancing your programming expertise. What sets "Advanced Python: Mastering AI" apart from other books is its unparalleled combination of in-depth theory and hands-on practicality. Edson L P Camacho, a leading expert in the field, guides you through every step, from laying the foundation of Python fundamentals to implementing cutting-edge AI algorithms. Here's a glimpse of what you'll find within the pages of this comprehensive guide: 1. Python Fundamentals: Review and reinforce your knowledge of Python basics, including data types, control flow, functions, and object-oriented programming. Build a solid foundation to tackle complex AI concepts. 2. Data Manipulation and Visualization: Learn powerful libraries such as NumPy, Pandas, and Matplotlib to handle and analyze data. Understand how to preprocess and visualize data effectively for AI applications. 3. Machine Learning Essentials: Dive into the world of machine learning and explore popular algorithms like linear regression, decision trees, support vector machines, and neural networks. Discover how to train, evaluate, and optimize models for various tasks. 4. Deep Learning and Neural Networks: Delve deeper into neural networks, the backbone of modern AI. Gain insights into deep learning architectures, including convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Implement advanced techniques like transfer learning and generative models. 5. Natural Language Processing (NLP): Explore the fascinating field of NLP and learn how to process and analyze textual data using Python. Discover techniques like sentiment analysis, named entity recognition, and text generation. 6. Computer Vision: Unleash the power of Python for image and video analysis. Build computer vision applications using popular libraries like OpenCV and TensorFlow. Understand concepts like object detection, image segmentation, and image captioning. 7. Reinforcement Learning: Embark on the exciting journey of reinforcement learning. Master the fundamentals of Q-learning, policy gradients, and deep Q-networks. Create intelligent agents that can learn and make decisions in dynamic environments. "Advanced Python: Mastering AI" not only equips you with the theoretical knowledge but also provides numerous real-world examples and projects to reinforce your understanding. Each chapter is accompanied by practical exercises and coding challenges to sharpen your skills and boost your confidence. Don't miss the opportunity to stay ahead in this AI-driven era. Order your copy of "Advanced Python: Mastering AI" today and unlock the full potential of Python programming with artificial intelligence. Take your career to new heights and become a proficient AI developer. Get ready to write the code that shapes the future!
Handbook Of Python Navigating Ai And Machine Learning
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Author : Dr. Preeti Yadav
language : en
Publisher: GEH Press
Release Date : 2024-11-24
Handbook Of Python Navigating Ai And Machine Learning written by Dr. Preeti Yadav and has been published by GEH Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-24 with Computers categories.
In the vast landscape of programming languages, Python stands out as a versatile and powerful tool that has gained immense popularity in recent years. With its clean syntax, ease of use, and extensive libraries, Python has become the go-to choice for beginners and experienced developers alike. This chapter serves as a comprehensive introduction to the fundamental concepts and building blocks of Python programming.
Artificial Intelligence With Python
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Author : Prof. MUTTAPPA M MANTUR
language : en
Publisher: Deccan International Academic Publisher
Release Date : 2023-05-30
Artificial Intelligence With Python written by Prof. MUTTAPPA M MANTUR and has been published by Deccan International Academic Publisher this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-30 with Computers categories.
The "Artificial Intelligence with Python" book begins by teaching the basic ideas and ideas of AI, giving beginners a strong foundation. It strikes a mix between theory and practical application, covering a variety of AI-related topics such as machine learning, deep learning, natural language processing, and computer vision, making it appropriate for both beginning and intermediate practitioners. It provides users with the resources and information needed to design, create, and implement AI-powered solutions using Python, one of the industry's most well-liked programming languages.
Artificial Vision And Language Processing For Robotics
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Author : Álvaro Morena Alberola
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-04-30
Artificial Vision And Language Processing For Robotics written by Álvaro Morena Alberola and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-04-30 with Computers categories.
Create end-to-end systems that can power robots with artificial vision and deep learning techniques Key FeaturesStudy ROS, the main development framework for robotics, in detailLearn all about convolutional neural networks, recurrent neural networks, and roboticsCreate a chatbot to interact with the robotBook Description Artificial Vision and Language Processing for Robotics begins by discussing the theory behind robots. You'll compare different methods used to work with robots and explore computer vision, its algorithms, and limits. You'll then learn how to control the robot with natural language processing commands. You'll study Word2Vec and GloVe embedding techniques, non-numeric data, recurrent neural network (RNNs), and their advanced models. You'll create a simple Word2Vec model with Keras, as well as build a convolutional neural network (CNN) and improve it with data augmentation and transfer learning. You'll study the ROS and build a conversational agent to manage your robot. You'll also integrate your agent with the ROS and convert an image to text and text to speech. You'll learn to build an object recognition system using a video. By the end of this book, you'll have the skills you need to build a functional application that can integrate with a ROS to extract useful information about your environment. What you will learnExplore the ROS and build a basic robotic systemUnderstand the architecture of neural networksIdentify conversation intents with NLP techniquesLearn and use the embedding with Word2Vec and GloVeBuild a basic CNN and improve it using generative modelsUse deep learning to implement artificial intelligence(AI)and object recognitionDevelop a simple object recognition system using CNNsIntegrate AI with ROS to enable your robot to recognize objectsWho this book is for Artificial Vision and Language Processing for Robotics is for robotics engineers who want to learn how to integrate computer vision and deep learning techniques to create complete robotic systems. It will prove beneficial to you if you have working knowledge of Python and a background in deep learning. Knowledge of the ROS is a plus.
Machine Learning And Ai With Simple Python And Matlab Scripts
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Author : M. Umit Uyar
language : en
Publisher: John Wiley & Sons
Release Date : 2025-04-15
Machine Learning And Ai With Simple Python And Matlab Scripts written by M. Umit Uyar and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-15 with Computers categories.
A practical guide to AI applications for Simple Python and Matlab scripts Machine Learning and AI with Simple Python and Matlab Scripts introduces basic concepts and principles of machine learning and artificial intelligence to help readers develop skills applicable to many popular topics in engineering and science. Step-by-step instructions for simple Python and Matlab scripts mimicking real-life applications will enter the readers into the magical world of AI, without requiring them to have advanced math and computational skills. The book is supported by instructor only lecture slides and sample exams with multiple-choice questions. Machine Learning and AI with Simple Python and Matlab Scripts includes information on: Artificial neural networks applied to real-world problems such as algorithmic trading of financial assets, Alzheimer's disease prognosis Convolution neural networks for speech recognition and optical character recognition Recurrent neural networks for chatbots and natural language translators Typical AI tasks including flight control for autonomous drones, dietary menu planning, and route planning Advanced AI tasks including particle swarm optimization and differential and grammatical evolution as well as the current state of the art in AI tools Machine Learning and AI with Simple Python and Matlab Scripts is an accessible, thorough, and practical learning resource for undergraduate and graduate students in engineering and science programs along with professionals in related industries seeking to expand their skill sets.
Machine Learning And Python For Human Behavior Emotion And Health Status Analysis
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Author : Md Zia Uddin
language : en
Publisher: CRC Press
Release Date : 2024-08-30
Machine Learning And Python For Human Behavior Emotion And Health Status Analysis written by Md Zia Uddin and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-30 with Computers categories.
This book is a practical guide for individuals interested in exploring and implementing smart home applications using Python. Comprising six chapters enriched with hands-on codes, it seamlessly navigates from foundational concepts to cutting-edge technologies, balancing theoretical insights and practical coding experiences. In short, it is a gateway to the dynamic intersection of Python programming, smart home technology, and advanced machine learning applications, making it an invaluable resource for those eager to explore this rapidly growing field. Key Features: Throughout the book, practicality takes precedence, with hands-on coding examples accompanying each concept to facilitate an interactive learning journey Striking a harmonious balance between theoretical foundations and practical coding, the book caters to a diverse audience, including smart home enthusiasts and researchers The content prioritizes real-world applications, ensuring readers can immediately apply the knowledge gained to enhance smart home functionalities Covering Python basics, feature extraction, deep learning, and XAI, the book provides a comprehensive guide, offering an overall understanding of smart home applications
Mastering Ai Basics Coding Machine Language And Robotics
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Author : Yogesh Deshpande
language : en
Publisher: Yogesh Deshpande
Release Date : 2025-06-07
Mastering Ai Basics Coding Machine Language And Robotics written by Yogesh Deshpande and has been published by Yogesh Deshpande this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-07 with Computers categories.
Mastering AI Basics: Coding, Machine Language, and Robotics" is a comprehensive guide designed for students, researchers, and professionals seeking to understand the foundations of artificial intelligence and its practical applications. This book bridges theoretical concepts with hands-on coding approaches, providing readers with the essential knowledge needed to navigate the rapidly evolving field of AI. From fundamental principles to advanced techniques, this book covers the breadth of artificial intelligence, machine learning algorithms, neural network architectures, and their integration into robotics systems. Each chapter builds upon established concepts while introducing new frameworks, making this resource valuable for both beginners and experienced practitioners in the field of computer science and engineering.
Python For Data Analysis
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Author : Dr. Katta Padmaja
language : en
Publisher: RK Publication
Release Date : 2024-07-29
Python For Data Analysis written by Dr. Katta Padmaja and has been published by RK Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-29 with Computers categories.
Python for Data Analysis for data enthusiasts, scientists, and analysts looking to harness Python’s capabilities in data manipulation, processing, and visualization. Covering essential libraries like Pandas, NumPy, and Matplotlib, this data cleaning, aggregation, and exploratory data analysis techniques. It emphasizes hands-on examples and real-world datasets to build a strong foundation in Python-based data analysis, making it an ideal resource for both beginners and professionals aiming to deepen their data skills in Python's versatile ecosystem.
Data Analysis Foundations With Python
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Author : Cuantum Technologies LLC
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-06-12
Data Analysis Foundations With Python written by Cuantum Technologies LLC and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-06-12 with Computers categories.
Dive into data analysis with Python, starting from the basics to advanced techniques. This course covers Python programming, data manipulation with Pandas, data visualization, exploratory data analysis, and machine learning. Key Features From Python basics to advanced data analysis techniques. Apply your skills to practical scenarios through real-world case studies. Detailed projects and quizzes to help gain the necessary skills. Book DescriptionEmbark on a comprehensive journey through data analysis with Python. Begin with an introduction to data analysis and Python, setting a strong foundation before delving into Python programming basics. Learn to set up your data analysis environment, ensuring you have the necessary tools and libraries at your fingertips. As you progress, gain proficiency in NumPy for numerical operations and Pandas for data manipulation, mastering the skills to handle and transform data efficiently. Proceed to data visualization with Matplotlib and Seaborn, where you'll create insightful visualizations to uncover patterns and trends. Understand the core principles of exploratory data analysis (EDA) and data preprocessing, preparing your data for robust analysis. Explore probability theory and hypothesis testing to make data-driven conclusions and get introduced to the fundamentals of machine learning. Delve into supervised and unsupervised learning techniques, laying the groundwork for predictive modeling. To solidify your knowledge, engage with two practical case studies: sales data analysis and social media sentiment analysis. These real-world applications will demonstrate best practices and provide valuable tips for your data analysis projects.What you will learn Develop a strong foundation in Python for data analysis. Manipulate and analyze data using NumPy and Pandas. Create insightful data visualizations with Matplotlib and Seaborn. Understand and apply probability theory and hypothesis testing. Implement supervised and unsupervised machine learning algorithms. Execute real-world data analysis projects with confidence. Who this book is for This course adopts a hands-on approach, seamlessly blending theoretical lessons with practical exercises and real-world case studies. Practical exercises are designed to apply theoretical knowledge, providing learners with the opportunity to experiment and learn through doing. Real-world applications and examples are integrated throughout the course to contextualize concepts, making the learning process engaging, relevant, and effective. By the end of the course, students will have a thorough understanding of the subject matter and the ability to apply their knowledge in practical scenarios.