Machine Learning Applications In Software Engineering

Today, machine learning underlies a range of applications we use every day, from product recommendations to voice recognition -- as well as some we don't yet use everyday

Explore the technology that is changing our world!Imagine a machine that can learn from experience and teach itself new things - that's AI in action! Trace the development of intelligent machines fr

A concise overview of machine learning--computer programs that learn from data--the basis of such applications as voice recognition and driverless cars.Today, machine learning underlies a range of app

3 comprehensive manuscripts in 1 bookMachine Learning: An Essential Guide to Machine Learning for Beginners Who Want to Understand Applications, Artificial Intelligence, Data Mining, Big Data and More

Concise and highly regarded, this treatment of Green's functions and their applications in science and engineering is geared toward undergraduate and graduate students with only a moderate background

Find Your Future in Engineering introduces 8 high-interest engineering careers via reader-friendly profiles and sidebar features that inspire extended learning, online research, and critical thinking

After completing this self-contained course on server-based Internet applications software, students who start with only the knowledge of how to write and debug a computer program will have learned h

Early childhood teachers continue to seek activities that promote STEM-based learning. But most STEM books focus on science and math, excluding technology and engineering. Creative Investigations

Combining thorough coverage of the basic principles of hydraulics with a wide-ranging treatment of practical, real-world applications, this text is structured into two parts: fundamentals, including h

Welcome to Alkhalend, Jewel of the Waters, capital of Usmai, greatest of the Successor States, inheritor to the necromantic dominion that was the Moeribandi Empire and tomorrow's frontline in the Palleseen's relentless march to bring Perfection and Correctness to an imperfect world.Loret is fresh off the boat, and just in time.As Cohort-Invigilator of Correct Appreciation, Outreach department, she's here as aide to the Palleseen Resident, Sage-Invigilator Angilly. And Sage-Invigilator Angilly – Gil to her friends – needs a second in the spectacularly illegal, culturally offensive and diplomatically inadvisable duel she must fight at midnight.Outreach, that part of the Pal machine that has to work within the imperfection of the rest of the world, has a lot of room for the illegal, the unconventional, the unorthodox. But just how much unorthodoxy can Gil and Loret get away with?As a succession crisis looms, as a long-forgotten feat of necromantic engineering nears fruition, as pirate kin

This jam-packed collection of fun and simple science experiments for kids is perfect for the classroom or home. Stir up some sticky slime, build a solar system with rubber bands, power a speed boat using soap, and construct an erupting volcano, all with Home Activity Lab, which offers exciting experiments for budding scientists. Including a foreword by Professor Robert Winston, this stunning book includes 28 brilliant science projects using simple step-by-step instructions, everyday ingredients that can be found around the house, and amazing photography to guide you from start to finish. Each experiment describes the science behind the project, highlighting STEM facts with STEM icons pointing out the key science, technology, engineering, and math learning involved in each project. "Take it further" panels encourage young readers to experiment and take their projects to the next level, developing their independence, initiative, and creative thinking skills. Perfect for budding scientist

風險建模演算法 「Abdullah Karasan成功展現了在金融風險管理領域中使用機器學習的能力，這是對任何金融機構都攸關重要的功能。」 ―Yves J. Hilpisch博士 The Python Quants與The AI Machine創辦人及總裁 「如果您需要將統計和機器學習方法應用在金融風險分析的入門指南，那麼這是一個很好的起點。」 ―Graham L. Giller 《Adventures in Financial Data Science》作者 金融風險管理在人工智慧的幫助下發展迅速。透過這本實用指南，開發人員、程式設計師、工程師、金融分析師、風險分析師及定量和演算法分析師，將可以機器學習和深度學習模型進行金融風險評估。建立基於人工智慧的財務建模實務技能後，您將學習要如何運用機器學習模型來取代傳統的金融風險模型。 作者Abdullah Karasan幫助您探索金融風險建模背後的理論，再深入研究使用Python運用機器學習模型以對金融風險進行建模的實際方法。 有了這本書，您將可以： ‧回顧經典的時間序列應用並將其與深度學習模型進行比較 ‧使用支撐向量迴歸、神經網路和深度學習來探索波動率模型以衡量風險程度 ‧使用機器學習技術來改善市場風險模型(VaR和ES)，並包括了流動性維度 ‧使用分群和貝氏方法來進行信用風險分析 ‧使用高斯混合模型和關聯結構模型來捕捉流動性風險的不同面向 ‧使用機器學習模型來進行詐欺偵測 ‧使用機器學習模型來預測股價崩盤並識別其決定因素

In recent years, Google’s autonomous cars have logged thousands of miles on American highways and IBM’s Watson trounced the best human Jeopardy! players. Digital technologies—with hardware, software,

This book is designed as a software-based lab book to complement a standard textbook in an engineering dynamics course, which is usually taught at the undergraduate level. This book can also be used a

Even seasoned sales people can freeze up when giving a software demo. That's simply because they let the subject matter get in the way. The fact is: any sales rep, regardless of technical knowledge, c

This textbook on the mechanics of solids and static is designed for civil engineering students who need to absorb the fundamentals of structural analysis in mechanical applications. Bucciarelli (civil

This introductory text explores the essentials of partial differential equations applied to common problems in engineering and the physical sciences. It reviews calculus and ordinary differential equ

A comprehensive text on matrix theory and its applications, this book is intended for a broad range of students in mathematics, engineering, and other areas of science at the university level. Author