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We found 6 results for “python engineering”

Python and Math Essentials for Machine Learning: A Beginner's Guide by Anthony Mauro | BookBaby Bookshophttps://store.bookbaby.com/book/python-and-math-essentials-for-machine-learningMachine Learning, Data Science, and the use of Artificial Intelligence technologies are growing rapidly in our society. Just a few applications include self-driving cars, personal assistants, product recommendations, robotics, data analysis, and web searching. These applications typically involve self-learning systems that are trained based on large amounts of data and the integration of intelligence based on algorithms. To begin mastering the field of machine learning and AI, students must be fluent in the requisite computer science and mathematics topics, and this book provides a comprehensive introduction to both. Readers completing this book will attain a general working knowledge of the Python programming language and math concepts needed, including Statistics, Linear Algebra, and Calculus, to implement and analyze traditional and advanced Machine Learning algorithms.eBook, Paperback

Think Artificial Intelligence: A Student's Guide to AI's Building Blocks by Jerry Cuomo | BookBaby Bookshophttps://store.bookbaby.com/book/think-artificial-intelligenceJerry Cuomo's unique story-telling style and accompanying illustrations makes it a breeze to be an A+ student in his virtual AI class. Think Artificial Intelligence offers an entertaining and balanced education of AI's building blocks and the personalities putting them into play. The book explores the fundamentals of AI, data curation, machine learning, prompt engineering, AI app development, ethics, and cybersecurity. Real stories and technical examples demonstrate AI's impact on jobs, society, and technology while emphasizing trust, creativity, and ethical use. Jerry incorporated GenAI into his writing toolkit for creating the book's images and code samples and openly shared his 100+ GenAI prompts and techniques, making his approach a teaching tool for readers. The central theme of the book is the indispensable role of trust in fostering collaboration between human emotional intelligence, creativity, and AI's pattern detection—analytical power—enabling the achievement of extraordinary outcomes. Jerry introduces a unique narrative approach in the book, weaving together insights from real-world experts and imaginative characters, such as Pato.AI, a fine-tuned chatbot, and Datos, a complex data pile. This blend of authentic interviews and creative personas enriches the subject matter with both depth and a touch of whimsy, offering readers fresh perspectives in an engaging way. Readers will discover invaluable resources in the provided Python scripts and datasets, enhancing the learning experience. Business or technical, the topics covered in this book will prove valuable to just about anyone curious and ready to become a scholar of AI. Royalties from this book are being donated to the St. Jude Children's Research Hospital.eBook, Paperback

Artificial Neural Networks: A Beginner's Guide by Anthony Mauro | BookBaby Bookshophttps://store.bookbaby.com/book/artificial-neural-networksMachine learning, the force behind self-driving cars, intuitive personal assistants, intelligent product recommendations, human-like robots, and the seamless magic of web searches, is not just a subject of academic curiosity; it is the very heartbeat of innovation in our society. It is the engine driving unprecedented progress, redefining industries, and, quite literally, shaping the way we experience the world. Artificial Neural Networks - A Beginner's Guide provides a detailed look at the inner workings of deep neural networks, additional classes of neural networks, and optimization techniques through rigorous mathematical analysis and implementation examples in Python. This book is appropriate for those wanting to know the how and why behind neural networks and those interested in learning how to implement a fully functional, from-scratch deep neural network framework.eBook

Crossing the Date Line: Adventures of a Traveling Geologist by John Sollo | BookBaby Bookshophttps://store.bookbaby.com/book/crossing-the-date-line<p>Crossing the Date Line is a colorful, romp through 16 countries, from Argentina to Alaska, from Algeria to New Zealand. It weaves together real-life adventure with a little geology, a touch of history, a bit of humor and a fascinating assortment of some unforgettable characters. The book describes living and working in foreign countries and dealing with the various cultures, habits, languages and customs. The memoir takes the reader to a bat-invested tunnel in Sikkim high in the Himalaya, to a steamy Indonesian jungle where a 30-foot-long python visited the work camp, to the Southern Highlands of Papua New Guinea where the author worked alongside natives with bones in their noses. He drove through a Siberian blizzard in Korea, was chased by a mama grizzly in the wilds of Alaska, ran for his life from a pack of dogs in Algeria, and was overrun by crickets while living in a shed-like building on the banks of the Narmada River in central India. He ate monkey and snake meat fresh from the Laotian jungle and had a heart-stopping moment as the helicopter he was riding in malfunctioned one foggy day in Alaska.</p>eBook

An Analysis of Generative Artificial Intelligence: Strengths, Weaknesses, Opportunities and Threats by Dennis Byer | BookBaby Bookshophttps://store.bookbaby.com/book/an-analysis-of-generative-artificial-intelligenceAn Analysis of Generative Artificial Intelligence takes a high-level overview of General Artificial Intelligence, also known as G.A.I. Despite its potential, G.A.I. also poses challenges, particularly in ethical domains. Issues like deepfakes, intellectual property concerns, and the potential for misuse in misinformation campaigns are critical considerations. G.A.I. is a rapidly evolving field that focuses on creating new, original content from learned data. Its potential applications are vast, but it also necessitates careful consideration of ethical implications and responsible use. G.A.I., a subset of artificial intelligence, encompasses technologies capable of creating content through machine learning models, like text, images, and code. G.A.I. can produce novel ideas and designs that push the boundaries of creativity. This technology can generate unique patterns, artworks, or musical compositions that offer new avenues for creative expression. In industries like advertising, design, and entertainment, this can lead to groundbreaking and innovative products. Automating content generation can significantly reduce both time and cost. In fields like journalism or content creation, G.A.I. can quickly produce drafts or content ideas that streamline the workflow. This efficiency is particularly valuable in scenarios where rapid content turnaround is critical, such as news reporting or social media management. G.A.I. excels at analyzing large data sets and synthesizing this information into comprehensible formats. For businesses, this means the ability to quickly process market data, customer feedback, or financial reports and transform them into actionable insights. This application is invaluable for strategic planning and decision-making. In marketing and customer service, G.A.I. can tailor content to individual preferences. This personalization enhances customer engagement and satisfaction, as communications are more relevant and appealing to each recipient. This capability is crucial in today's market, where personalization is often a key differentiator. G.A.I. can revolutionize education by creating personalized learning materials. It can adapt content to suit different learning styles and levels, making education more accessible and effective. For instance, it can generate practice problems in math or science tailored to a student's current level of understanding. G.A.I. has made significant strides in language translation, breaking down communication barriers. This advancement is not just limited to spoken languages but also extends to sign language or even translating complex legal or technical documents into more understandable language, enhancing accessibility for a wider audience. In fields like pharmaceuticals or material science, Generative AI can predict the properties of new compounds or materials, accelerating the R&D process. This predictive capability can lead to faster discoveries and innovations, significantly impacting sectors like healthcare and engineering. Generative Artificial Intelligence can simulate various scenarios in risk management, from financial market trends to disaster response strategies. This foresight is crucial for organizations to prepare and mitigate risks.eBook

Forecasting - 10 Methods by Gunter Meissner | BookBaby Bookshophttps://store.bookbaby.com/book/forecasting-10-methods1Most events in economics and finance are stochastic, i.e. unknown. But we can forecast them with a certain probability. That is what this book does. We introduce 10 forecasting methodologies: Simple ones such as Fundamental and Technical analysis (chapters 2 and 3), and traditional forecasting methods such as Statistical Concepts (chapters 4, 5, and 6). We also explain the latest, more mathematical methods such as Stochastic Processes span lang=EN-GB style='font-size:12.0pt;line-height:150%' XE Stochastic process span lang=EN-GB style='font-size:12.0pt;line-height:150%' span style='mso-element: field-end' (chapters 7 and 8), Extreme Value Theory (chapter 9) and AI and Forecasting (chapter 10). So we hope many can benefit from this book.eBook, Paperback

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