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Author: Andrew Wu
Publisher: Andrew Wu
ISBN:
Category : Computers
Languages : en
Pages : 230
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Book Description
This is a comprehensive guide for prospective data scientists. It combines practical skills and advanced techniques with ChatGPT's groundbreaking capabilities. This easy-to-follow book shortens the learning curve for data analysis and machine learning beginners. It includes five chapters: 1. Kickstart Your Data Science Journey with ChatGPT's Power Tools: Introduces ChatGPT and the Noteable Plugin for quick data analysis. 2. The Great Data Hunt: Data collection and manipulation, including APIs, web scraping, data formats. 3. Making Data Meaningful: The basics of data analysis, simplified statistics and practical exercises. 4. Seeing the Unseen: Data Visualization: Techniques for revealing patterns in data using visual tools. 5. Venturing into the Machine's Mind: Machine Learning: Demystifies machine learning from regression analysis to recommendation engines, utilizing ChatGPT. Perfect for students, professionals and enthusiasts alike, this book offers a groundbreaking approach that makes data science accessible and manageable with the help of ChatGPT.
Author: Andrew Wu
Publisher: Andrew Wu
ISBN:
Category : Computers
Languages : en
Pages : 230
Get Book Here
Book Description
This is a comprehensive guide for prospective data scientists. It combines practical skills and advanced techniques with ChatGPT's groundbreaking capabilities. This easy-to-follow book shortens the learning curve for data analysis and machine learning beginners. It includes five chapters: 1. Kickstart Your Data Science Journey with ChatGPT's Power Tools: Introduces ChatGPT and the Noteable Plugin for quick data analysis. 2. The Great Data Hunt: Data collection and manipulation, including APIs, web scraping, data formats. 3. Making Data Meaningful: The basics of data analysis, simplified statistics and practical exercises. 4. Seeing the Unseen: Data Visualization: Techniques for revealing patterns in data using visual tools. 5. Venturing into the Machine's Mind: Machine Learning: Demystifies machine learning from regression analysis to recommendation engines, utilizing ChatGPT. Perfect for students, professionals and enthusiasts alike, this book offers a groundbreaking approach that makes data science accessible and manageable with the help of ChatGPT.
Author: Ralf Strauss
Publisher: Springer Nature
ISBN: 3031642953
Category :
Languages : en
Pages : 350
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Book Description
Author: Bora Kurum
Publisher: Bora Kurum
ISBN:
Category : Business & Economics
Languages : en
Pages : 104
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Book Description
In today's fast-paced, digital-driven world, marketing communication has become an increasingly important aspect of business success. The ability to effectively communicate with customers and create compelling messages that resonate with them has never been more critical. As the landscape of marketing continues to evolve, it is essential for students and professionals alike to develop a strong foundation in marketing communication principles and practices. "Marketing Communication Essentials: From Zero to Hero" was written with this goal in mind. Designed as a comprehensive guide for those new to the field or looking to expand their knowledge, this book aims to equip readers with the tools, techniques, and insights necessary to create successful marketing communication campaigns. Throughout the book, readers will find a blend of theory and practical application, with a focus on real-world examples and case studies. By offering a step-by-step approach to understanding and implementing marketing communication strategies, this book aims to empower readers to make informed decisions and create impactful campaigns. From defining the ideal customer and market segmentation to crafting persuasive messages and measuring success, "How to Start Marketing Communication from Zero" covers every aspect of the marketing communication process. It also addresses the future of marketing communication and offers valuable resources for those looking to further their education and career in the field. It is my hope that this book will serve as a valuable resource for students, professionals, and anyone interested in learning more about marketing communication. By applying the principles and techniques shared in these pages, readers will be well-equipped to navigate the ever-changing landscape of marketing and create meaningful connections with their target audience. Thank you for embarking on this journey with me. I wish you success in your marketing communication endeavors and look forward to seeing the impact you will make in the world.
Author: Richard H. Miller
Publisher: Packt Publishing Ltd
ISBN: 1835463800
Category : Computers
Languages : en
Pages : 446
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Book Description
Create engaging AI experiences by mastering ChatGPT for business and leveraging user interface design practices, research methods, prompt engineering, the feeding lifecycle, and more Key Features Learn in-demand design thinking and user research techniques applicable to all conversational AI platforms Measure the quality and evaluate ChatGPT from a customer’s perspective for optimal user experience Set up and use your secure private data, documents, and materials to enhance your ChatGPT models Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionMany enterprises grapple with new technology, often hopping on the bandwagon only to abandon it when challenges emerge. This book is your guide to seamlessly integrating ChatGPT into enterprise solutions with a UX-centered approach. UX for Enterprise ChatGPT Solutions empowers you to master effective use case design and adapt UX guidelines through an engaging learning experience. Discover how to prepare your content for success by tailoring interactions to match your audience’s voice, style, and tone using prompt-engineering and fine-tuning. For UX professionals, this book is the key to anchoring your expertise in this evolving field. Writers, researchers, product managers, and linguists will learn to make insightful design decisions. You’ll explore use cases like ChatGPT-powered chat and recommendation engines, while uncovering the AI magic behind the scenes. The book introduces a and feeding model, enabling you to leverage feedback and monitoring to iterate and refine any Large Language Model solution. Packed with hundreds of tips and tricks, this guide will help you build a continuous improvement cycle suited for AI solutions. By the end, you’ll know how to craft powerful, accurate, responsive, and brand-consistent generative AI experiences, revolutionizing your organization’s use of ChatGPT.What you will learn Align with user needs by applying design thinking to tailor ChatGPT to meet customer expectations Harness user research to enhance chatbots and recommendation engines Track quality metrics and learn methods to evaluate and monitor ChatGPT's quality and usability Establish and maintain a uniform style and tone with prompt engineering and fine-tuning Apply proven heuristics by monitoring and assessing the UX for conversational experiences with trusted methods Refine continuously by implementing an ongoing process for chatbot and feeding Who this book is for This book is for user experience designers, product managers, and product owners of business and enterprise ChatGPT solutions who are interested in learning how to design and implement ChatGPT-4 solutions for enterprise needs. You should have a basic-to-intermediate level of understanding in UI/UX design concepts and fundamental knowledge of ChatGPT-4 and its capabilities.
Author: Michael Wand
Publisher: Springer Nature
ISBN: 3031723449
Category :
Languages : en
Pages : 462
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Book Description
Author: Toby Segaran
Publisher: "O'Reilly Media, Inc."
ISBN: 0596550685
Category : Computers
Languages : en
Pages : 361
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Book Description
Want to tap the power behind search rankings, product recommendations, social bookmarking, and online matchmaking? This fascinating book demonstrates how you can build Web 2.0 applications to mine the enormous amount of data created by people on the Internet. With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you've found it. Programming Collective Intelligence takes you into the world of machine learning and statistics, and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general -- all from information that you and others collect every day. Each algorithm is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains: Collaborative filtering techniques that enable online retailers to recommend products or media Methods of clustering to detect groups of similar items in a large dataset Search engine features -- crawlers, indexers, query engines, and the PageRank algorithm Optimization algorithms that search millions of possible solutions to a problem and choose the best one Bayesian filtering, used in spam filters for classifying documents based on word types and other features Using decision trees not only to make predictions, but to model the way decisions are made Predicting numerical values rather than classifications to build price models Support vector machines to match people in online dating sites Non-negative matrix factorization to find the independent features in a dataset Evolving intelligence for problem solving -- how a computer develops its skill by improving its own code the more it plays a game Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple database-backed applications and put the wealth of Internet data to work for you. "Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details." -- Dan Russell, Google "Toby's book does a great job of breaking down the complex subject matter of machine-learning algorithms into practical, easy-to-understand examples that can be directly applied to analysis of social interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths." -- Tim Wolters, CTO, Collective Intellect
Author: Barrett Williams
Publisher: Barrett Williams
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 113
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Book Description
**Decoding CubeSat Telemetry Master the Art of Satellite Communication** Unlock the mysteries of CubeSat telemetry with "Decoding CubeSat Telemetry" – your comprehensive guide to understanding and mastering the intricacies of satellite data transmission, reception, and analysis. Whether you’re a student, an amateur satellite enthusiast, or a professional in the field, this eBook is designed to elevate your knowledge and skills. Discover what CubeSat telemetry is and its historical significance. In the initial chapters, you'll explore the foundation of telemetry data, including various types and common protocols used in the industry. As you proceed, you’ll delve into the heart of CubeSat communication systems, from on-board transmitters to ground station receivers, ensuring a robust understanding of the complete communication cycle. Understanding data transmission is crucial, and our detailed sections on binary and packet data structures, along with error correction methods, will provide you with the necessary tools to handle data effectively. Learn how to collect telemetry data using advanced acquisition tools and monitor it in real-time, a vital skill for maintaining satellite health and performance. Signal processing fundamentals are thoroughly explained, covering modulation, demodulation, and noise reduction techniques. With this knowledge, you’ll be equipped to decode raw data and convert it into human-readable formats. Dive into the practical side with comprehensive chapters on interpreting telemetry parameters, using popular software tools for data analysis, and applying trend analysis and anomaly detection methodologies. Advanced chapters introduce machine learning applications and predictive analytics, key trends pushing the boundaries of telemetry analysis. Our case studies provide real-world examples of CubeSat health data and environmental monitoring, offering practical insights into telemetry interpretation. Addressing challenges such as data corruption and managing large data volumes, the book ensures you're prepared for any telemetry hurdle. Legal and ethical considerations, future trends, and the integration of telemetry data into operations round out this essential guide. Finish with hands-on workshops and resources for continued learning, solidifying your path to becoming a telemetry expert. Embark on your journey to decode and harness the power of CubeSat telemetry. **Download "Decoding CubeSat Telemetry" today and take the first step towards satellite communication mastery.**
Author: Zhamak Dehghani
Publisher: "O'Reilly Media, Inc."
ISBN: 1492092363
Category : Computers
Languages : en
Pages : 387
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Book Description
Many enterprises are investing in a next-generation data lake, hoping to democratize data at scale to provide business insights and ultimately make automated intelligent decisions. In this practical book, author Zhamak Dehghani reveals that, despite the time, money, and effort poured into them, data warehouses and data lakes fail when applied at the scale and speed of today's organizations. A distributed data mesh is a better choice. Dehghani guides architects, technical leaders, and decision makers on their journey from monolithic big data architecture to a sociotechnical paradigm that draws from modern distributed architecture. A data mesh considers domains as a first-class concern, applies platform thinking to create self-serve data infrastructure, treats data as a product, and introduces a federated and computational model of data governance. This book shows you why and how. Examine the current data landscape from the perspective of business and organizational needs, environmental challenges, and existing architectures Analyze the landscape's underlying characteristics and failure modes Get a complete introduction to data mesh principles and its constituents Learn how to design a data mesh architecture Move beyond a monolithic data lake to a distributed data mesh.
Author: Zsolt Nagy
Publisher: Packt Publishing Ltd
ISBN: 1789809207
Category : Computers
Languages : en
Pages : 330
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Book Description
Create AI applications in Python and lay the foundations for your career in data science Key FeaturesPractical examples that explain key machine learning algorithmsExplore neural networks in detail with interesting examplesMaster core AI concepts with engaging activitiesBook Description Machine learning and neural networks are pillars on which you can build intelligent applications. Artificial Intelligence and Machine Learning Fundamentals begins by introducing you to Python and discussing AI search algorithms. You will cover in-depth mathematical topics, such as regression and classification, illustrated by Python examples. As you make your way through the book, you will progress to advanced AI techniques and concepts, and work on real-life datasets to form decision trees and clusters. You will be introduced to neural networks, a powerful tool based on Moore's law. By the end of this book, you will be confident when it comes to building your own AI applications with your newly acquired skills! What you will learnUnderstand the importance, principles, and fields of AIImplement basic artificial intelligence concepts with PythonApply regression and classification concepts to real-world problemsPerform predictive analysis using decision trees and random forestsCarry out clustering using the k-means and mean shift algorithmsUnderstand the fundamentals of deep learning via practical examplesWho this book is for Artificial Intelligence and Machine Learning Fundamentals is for software developers and data scientists who want to enrich their projects with machine learning. You do not need any prior experience in AI. However, it’s recommended that you have knowledge of high school-level mathematics and at least one programming language (preferably Python).
Author: Abhishek Thakur
Publisher: Abhishek Thakur
ISBN: 8269211508
Category : Computers
Languages : en
Pages : 300
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Book Description
This is not a traditional book. The book has a lot of code. If you don't like the code first approach do not buy this book. Making code available on Github is not an option. This book is for people who have some theoretical knowledge of machine learning and deep learning and want to dive into applied machine learning. The book doesn't explain the algorithms but is more oriented towards how and what should you use to solve machine learning and deep learning problems. The book is not for you if you are looking for pure basics. The book is for you if you are looking for guidance on approaching machine learning problems. The book is best enjoyed with a cup of coffee and a laptop/workstation where you can code along. Table of contents: - Setting up your working environment - Supervised vs unsupervised learning - Cross-validation - Evaluation metrics - Arranging machine learning projects - Approaching categorical variables - Feature engineering - Feature selection - Hyperparameter optimization - Approaching image classification & segmentation - Approaching text classification/regression - Approaching ensembling and stacking - Approaching reproducible code & model serving There are no sub-headings. Important terms are written in bold. I will be answering all your queries related to the book and will be making YouTube tutorials to cover what has not been discussed in the book. To ask questions/doubts, visit this link: https://bit.ly/aamlquestions And Subscribe to my youtube channel: https://bit.ly/abhitubesub
