Python machine learning

Discover two sides of history with the Time Travel Twins!Twins Scarlett and Thomas are learning about the Stone Age, so Grandad lets them use his time machine. Thomas wants to see a sabre-toothed tiger; Scarlett wants to see Stonehenge. They were thousands of years apart, what should they do? Go back in time twice of course!From perilous encounters with Neanderthals and woolly mammoths, to being roped into a mysterious ancient ceremony, the twins will need to keep their wits about them to survive their visits to the Stone Age!

The Strategy and Tactics of Pricing is the most well-established and influential strategic pricing text available, relied on by practitioners and students globally as a core guide for value-based pricing. The book explains how to balance the ability to create and extract value through from markets by managing pricing decisions in a more strategic and profitable manner. Rather than calculating prices to cover costs or to achieve sales goals, readers will learn to frame more strategic choices that proactively influence customer perceptions of value, manage internal costs, and profitably shift demand curves.This edition features new discussions on harnessing concepts from behavioral economics as well as a refined "value cascade" to help organize the topics covered in this book. Readers will also benefit from:1.Major revisions to more than a third of the chapters, including an expanded discussion of the role of artificial intelligence and machine learning analytics tools to assist in the e

Available in paperback! A young chapter book series starter about a chicken who loves math, science, and learning new things--by New York Times bestselling author Nancy Krulik. Perfect for fans of Unlimited Squirrels and Bumble and Bee. Chirpy is a young chicken stuck in the family coop. But she's not like the other chickens who just sit around peck peck pecking all day. She's intrigued by the children who come home from a place called school. They always look so happy! (Well, most days.) So Chirpy sneaks onto the bus one morning, hides in the classroom . . . and discovers a true love of math. When she shares what she's learned with the other chickens, they think she's one kernel short of a cob. Even so, Chirpy is determined to find a formula for fowl success by pecking away. But when a hungry fox tries to attack the coop, can she find the equation for a simple solution? With lively two-color art throughout, plus a fun hands-on simple machine activity, this eggs-ellent young chapter bo

Harley Hitch returns for an airborne adventure in this highly illustrated fiction series about a determined young inventor from award-winning author Vashti Hardy. The Aviation Parade is coming to Forgetown this summer, and Harley has her sights set on creating a flying machine that will really stand out: a robot hippogriff! And if the creature impresses Cosmo's mum enough, surely Cosmo will be able to keep it as a pet? But Harley wants the flying machine to be a surprise for everyone. She soon finds that keeping secrets leads to tricky explanations and lots of trouble - especially when REAL hippogriffs arrive and cause chaos! Join Harley, her robot dog Sprocket and best friend Cosmo for problem-solving adventures and mysteries in a world where science rules and technology grows in the forest! A rollicking adventure that celebrates STEM learning! Highly illustrated with lively, humourous illustrations by George Ermos.Vashti Hardy is an award-winning author of children's books. Her novel

Discover two sides of history with the Time Travel Twins!Twins, Scarlett and Thomas, are learning about the Romans at school. So Grandad uses his time machine to send them back to Roman Britain.Scarlett finds herself in a Roman camp and is chosen as a slave by the Emperor Claudius’s daughter, Antonia. The two become friends and Scarlett sees first hand the glamour and treachery of the Roman court.Thomas joins a rabble of local kids who hate the Romans. Their leader is a small red-headed girl called Boudicca. Even when the kids are overwhelmed and taken as slaves, Bou hatches another plan to attack the Romans.Will the twins find each other and escape, or will they both be stuck as Roman slaves for ever?

Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer these questions. No prior knowledge is expected in AI or finance.Including original research, the book explains the impact of ignoring computation in classical economics; examines the relationship between computing and finance and points out potential misunderstandings between economists and computer scientists; and introduces Directional Change and explains how this can be used.To finance students and practitioners, this book will explain the promise of AI, as well as its limitations. It will cover knowledge representation, modelling, simulation and machine learning, explaining the principles of how they work. To computing students and practitioners, this book will introduce the financial applications in which AI has made an impact. This

An empirical study and analysis of heart disease prediction involves using data analysis techniques to identify patterns and risk factors associated with cardiovascular disease. This approach utilizes machine learning algorithms to classify patients based on their likelihood of developing heart disease.The study involves collecting data on risk factors such as age, gender, family history, blood pressure, cholesterol levels, smoking, and diabetes. Feature selection techniques are used to identify the most important risk factors, and a classification model is trained using these factors. The accuracy of the model is evaluated using metrics such as sensitivity, specificity, and AUC.This empirical study and analysis has several advantages, including the ability to identify new risk factors associated with heart disease, improved accuracy in predicting cardiovascular risk, and the potential to develop more personalized prevention and treatment strategies. This approach has the potential to

With the advent of the Al era, professionals need to select the right tools to meet new opportunities and challenges! This instructional material focuses on the application of big data analysis, text mining, and machine learning in auditing to assist readers in understanding the latest developments in data analysis and smart audit.JCAATs is a new generation audit software developed by Python, which can be executed in a Windows and MAC operation systems with a multi-language, visual, and easy-to-use interface. Non-IT professionals can easily conduct smart data analysis. Through JCAATs' built-in data fusion technology and OPEN DATA connector, heterogeneous data can be quickly analyzed in real-time and effectively identifying anomalies. The features of this book include:The book is structured to provide a progressive learning experience, with chapters covering different concepts and applications, as well as exercises and practice questions. The official textbook endorsed by ICAEA

Over the last half century, "smartness"―the drive for ubiquitous computing―has become a mandate: a new mode of managing and governing politics, economics, and the environment.Smart phones. Smart cars. Smart homes. Smart cities. The imperative to make our world ever smarter in the face of increasingly complex challenges raises several questions: What is this "smartness mandate?" How has it emerged, and what does it say about our evolving way of understanding―and managing―reality? How have we come to see the planet and its denizens first and foremost as data-collecting instruments? In The Smartness Mandate, Orit Halpern and Robert Mitchell radically suggest that "smartness" is not primarily a technology, but rather an epistemology. Through this lens, they offer a critical exploration of the practices, technologies, and subjects that such an understanding relies upon―above all, artificial intelligence and machine learning. The authors approach these not simply as techniques for solving pr

這本書帶領讀者重新思考人工智慧的背後代價。不只是程式與演算法，AI的運作牽涉到龐大的自然資源、人力勞動與個人資料。作者凱特・克勞佛以十多年研究為基礎，揭示AI如何重新分配權力、加劇不平等，並對民主與環境造成深遠影響，是一部兼具深度與警示意義的作品。The hidden costs of artificial intelligence—from natural resources and labor to privacy, equality, and freedom“This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained.”—New Yorker“A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future.”—John Thornhill, Financial Times“It’s a masterpiece, and I haven’t been able to stop thinking about it.”—Karen Hao, senior editor, MIT Tech ReviewWhat happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award‑winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from

特色1. 數據處理和數據分析並重。針對金融大數據結構複雜、數據源和格式變換大的特點，充分講述SAS軟件DATA步強大的數據處理功能，強化金融數據處理內容。2. 將SAS數據分析能力強和R和Python靈巧和業界流行的特點相結合，建立融合SAS和R及Python的數據處理和分析教材構架，進行教學大綱、授課教案到教材、案例集和習題集等課程要件建設。3. 以《金融計量經濟學》為知識依托，以海通證券金融工程部、天風證券金融工程部、等有名券商量化金融策略為具體案例內容，以權益（股票）市場和債券（固定收益）市場為主要應用領域，以日數據（daily data）為主、高頻日內數據（intraday data）為輔，建立從數據搜集到數據清理、從投資組合到交易策略和算法交易等金融量化方法的教學案例。創新點1. 填補國內教材空白。作為一款權威的數據處理和統計分析軟件，多年來SAS在國內（尤其是銀行系統）得到了廣泛應用。已出版的教材多以操作和數據處理編程為主，針對金融數據處理和分析的書籍並不多見，尤其講解金融數據分析的SAS過程步（Proc step）的教材難以見到。本教材擬對分析金融時間序列的SAS過程進行詳細和全面的介紹，充分揭示SAS在處理和分析金融時間序列數據上的優勢，填補國內教材空白。2.SAS Viya平臺介紹和R、Python的軟件融合。SAS Viya 2016年推出以來，得到了很快的發展，出現了基於SAS Viya 云分析服務CAS的很多應用，國內一些金融機構也採用了SAS Viya構建自己的數據分析平臺。但國內介紹SAS Viya的書很少，沒有發現介紹利用SAS Viya中的ACTION進行金融數據分析的書籍。對SAS Viya的介紹以及利用SAS Viya中的Econometrics8.4 ACTION、Visal Statistical Analysis ACTION、Deep Learning ACTION等進行金融數據處理和分析的內容，是本教材的創新之處。