AI as a Service PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download AI as a Service PDF full book. Access full book title AI as a Service by Peter Elger. Download full books in PDF and EPUB format.
Author: Peter Elger
Publisher: Simon and Schuster
ISBN: 1638350434
Category : Computers
Languages : en
Pages : 326
Get Book Here
Book Description
AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Summary Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development—and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That way, there’s no need to build expensive custom software. Artificial Intelligence (AI), a machine’s ability to learn and make predictions based on patterns it identifies, is already being leveraged by businesses around the world in areas like targeted product recommendations, financial forecasting and resource planning, customer service chatbots, healthcare diagnostics, data security, and more. With the exciting combination of serverless computing and AI, software developers now have enormous power to improve their businesses’ existing systems and rapidly deploy new AI-enabled platforms. And to get on this fast-moving train, you don’t have to invest loads of time and effort in becoming a data scientist or AI expert, thanks to cloud platforms and the readily available off-the-shelf cloud-based AI services! About the book AI as a Service is a fast-paced guide to harnessing the power of cloud-based solutions. You’ll learn to build real-world apps—such as chatbots and text-to-speech services—by stitching together cloud components. Work your way from small projects to large data-intensive applications. What's inside - Apply cloud AI services to existing platforms - Design and build scalable data pipelines - Debug and troubleshoot AI services - Start fast with serverless templates About the reader For software developers familiar with cloud basics. About the author Peter Elger and Eóin Shanaghy are founders and CEO/CTO of fourTheorem, a software solutions company providing expertise on architecture, DevOps, and machine learning. Table of Contents PART 1 - FIRST STEPS 1 A tale of two technologies 2 Building a serverless image recognition system, part 1 3 Building a serverless image recognition system, part 2 PART 2 - TOOLS OF THE TRADE 4 Building and securing a web application the serverless way 5 Adding AI interfaces to a web application 6 How to be effective with AI as a Service 7 Applying AI to existing platforms PART 3 - BRINGING IT ALL TOGETHER 8 Gathering data at scale for real-world AI 9 Extracting value from large data sets with AI
Author: Peter Elger
Publisher: Simon and Schuster
ISBN: 1638350434
Category : Computers
Languages : en
Pages : 326
Get Book Here
Book Description
AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Summary Companies everywhere are moving everyday business processes over to the cloud, and AI is increasingly being given the reins in these tasks. As this massive digital transformation continues, the combination of serverless computing and AI promises to become the de facto standard for business-to-consumer platform development—and developers who can design, develop, implement, and maintain these systems will be in high demand! AI as a Service is a practical handbook to building and implementing serverless AI applications, without bogging you down with a lot of theory. Instead, you’ll find easy-to-digest instruction and two complete hands-on serverless AI builds in this must-have guide! Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Cloud-based AI services can automate a variety of labor intensive business tasks in areas such as customer service, data analysis, and financial reporting. The secret is taking advantage of pre-built tools like Amazon Rekognition for image analysis or AWS Comprehend for natural language processing. That way, there’s no need to build expensive custom software. Artificial Intelligence (AI), a machine’s ability to learn and make predictions based on patterns it identifies, is already being leveraged by businesses around the world in areas like targeted product recommendations, financial forecasting and resource planning, customer service chatbots, healthcare diagnostics, data security, and more. With the exciting combination of serverless computing and AI, software developers now have enormous power to improve their businesses’ existing systems and rapidly deploy new AI-enabled platforms. And to get on this fast-moving train, you don’t have to invest loads of time and effort in becoming a data scientist or AI expert, thanks to cloud platforms and the readily available off-the-shelf cloud-based AI services! About the book AI as a Service is a fast-paced guide to harnessing the power of cloud-based solutions. You’ll learn to build real-world apps—such as chatbots and text-to-speech services—by stitching together cloud components. Work your way from small projects to large data-intensive applications. What's inside - Apply cloud AI services to existing platforms - Design and build scalable data pipelines - Debug and troubleshoot AI services - Start fast with serverless templates About the reader For software developers familiar with cloud basics. About the author Peter Elger and Eóin Shanaghy are founders and CEO/CTO of fourTheorem, a software solutions company providing expertise on architecture, DevOps, and machine learning. Table of Contents PART 1 - FIRST STEPS 1 A tale of two technologies 2 Building a serverless image recognition system, part 1 3 Building a serverless image recognition system, part 2 PART 2 - TOOLS OF THE TRADE 4 Building and securing a web application the serverless way 5 Adding AI interfaces to a web application 6 How to be effective with AI as a Service 7 Applying AI to existing platforms PART 3 - BRINGING IT ALL TOGETHER 8 Gathering data at scale for real-world AI 9 Extracting value from large data sets with AI
Author: Peter C. Oleson
Publisher:
ISBN: 9780997527308
Category :
Languages : en
Pages : 788
Get Book Here
Book Description
The goal of the Guide to the Study of Intelligence is to help instructors teach about the field of intelligence. This includes... undergraduate and graduate professors of History, Political Science, International Relations, Security Studies, and related topics, especially those with no or limited professional experience in the field. The assumption is that none of the... instructors is an expert in the topic of intelligence. Even those who are former practitioners are likely to have only a limited knowledge of the very broad field of intelligence, as most spend their careers in one or two agencies at most and may have focused only on collection or analysis of intelligence or support to those activities."In each of the articles the intent is to identify the important learning points for students and the materials that an instructor can use to teach. This includes books, articles, and websites..."
Author: Nicole Radziwill
Publisher: Quality Press
ISBN: 1951058003
Category : Business & Economics
Languages : en
Pages : 480
Get Book Here
Book Description
Quality 4.0 is for all industries, and this book is for anyone who wants to learn how Industry 4.0 and Quality 4.0 can help improve quality and performance in their team or company. This comprehensive guide is the culmination of 25 years of research and practice-exploring, implementing, and critically examining the quality and performance improvement aspects of what we now call Industry 4.0 technologies. Navigate the connected, intelligent, and automated ecosystems of infrastructure, people, objects, machines, and data. Sift through the noise around AI, AR, big data, blockchain, cybersecurity, and other rising technologies and emerging issues to find the signals for your organization. Discover the value proposition of Quality 4.0 and the leading role for Quality professionals to drive successful digital transformation initiatives. The changes ahead are powerful, exciting, and overwhelming-and we can draw on the lessons from past work to mitigate the risks we face today. Connected, Intelligent, Automated provides you with the techniques, philosophies, and broad overall knowledge you need to understand Quality 4.0, and helps you leverage those things for the future success of your enterprise. Chapter 1: Quality 4.0 and the Fourth Industrial Revolution Chapter 2: Connected Ecosystems Chapter 3: Intelligent Agents and Machine Learning Chapter 4: Automation: From Manual Labor to Autonomy Chapter 5: Quality 4.0 Use Cases Across Industries Chapter 6: From Algorithms to Advanced Analytics Chapter 7: Delivering Value and Impact Through Data Science Chapter 8: Data Quality and Data Management Chapter 9: Software Applications & Data Platforms Chapter 10: Blockchain Chapter 11: Performance Excellence Chapter 12: Environment, Health, Safety, Quality (EHSQ) and Cybersecurity Chapter 13: Voice of the Customer (VoC) Chapter 14: Elements of a Quality 4.0 Strategy Chapter 15: Playbook for Transformation
Author: Alberto Artasanchez
Publisher: Packt Publishing Ltd
ISBN: 1839216077
Category : Computers
Languages : en
Pages : 619
Get Book Here
Book Description
New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fundamental use cases, chatbots, and more. Key FeaturesCompletely updated and revised to Python 3.xNew chapters for AI on the cloud, recurrent neural networks, deep learning models, and feature selection and engineeringLearn more about deep learning algorithms, machine learning data pipelines, and chatbotsBook Description Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques. What you will learnUnderstand what artificial intelligence, machine learning, and data science areExplore the most common artificial intelligence use casesLearn how to build a machine learning pipelineAssimilate the basics of feature selection and feature engineeringIdentify the differences between supervised and unsupervised learningDiscover the most recent advances and tools offered for AI development in the cloudDevelop automatic speech recognition systems and chatbotsApply AI algorithms to time series dataWho this book is for The intended audience for this book is Python developers who want to build real-world Artificial Intelligence applications. Basic Python programming experience and awareness of machine learning concepts and techniques is mandatory.
Author: Alberto Ferrari
Publisher: Microsoft Press
ISBN: 0735698376
Category : Computers
Languages : en
Pages : 1515
Get Book Here
Book Description
This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens under the hood when you run a DAX expression, how DAX behaves differently from other languages, and how to use this knowledge to write fast, robust code. If you want to leverage all of DAX’s remarkable power and flexibility, this no-compromise “deep dive” is exactly what you need. Perform powerful data analysis with DAX for Microsoft SQL Server Analysis Services, Excel, and Power BI Master core DAX concepts, including calculated columns, measures, and error handling Understand evaluation contexts and the CALCULATE and CALCULATETABLE functions Perform time-based calculations: YTD, MTD, previous year, working days, and more Work with expanded tables, complex functions, and elaborate DAX expressions Perform calculations over hierarchies, including parent/child hierarchies Use DAX to express diverse and unusual relationships Measure DAX query performance with SQL Server Profiler and DAX Studio
Author: Khosrow-Pour D.B.A., Mehdi
Publisher: IGI Global
ISBN: 1799834743
Category : Business & Economics
Languages : en
Pages : 2734
Get Book Here
Book Description
For any organization to be successful, it must operate in such a manner that knowledge and information, human resources, and technology are continually taken into consideration and managed effectively. Business concepts are always present regardless of the field or industry – in education, government, healthcare, not-for-profit, engineering, hospitality/tourism, among others. Maintaining organizational awareness and a strategic frame of mind is critical to meeting goals, gaining competitive advantage, and ultimately ensuring sustainability. The Encyclopedia of Organizational Knowledge, Administration, and Technology is an inaugural five-volume publication that offers 193 completely new and previously unpublished articles authored by leading experts on the latest concepts, issues, challenges, innovations, and opportunities covering all aspects of modern organizations. Moreover, it is comprised of content that highlights major breakthroughs, discoveries, and authoritative research results as they pertain to all aspects of organizational growth and development including methodologies that can help companies thrive and analytical tools that assess an organization’s internal health and performance. Insights are offered in key topics such as organizational structure, strategic leadership, information technology management, and business analytics, among others. The knowledge compiled in this publication is designed for entrepreneurs, managers, executives, investors, economic analysts, computer engineers, software programmers, human resource departments, and other industry professionals seeking to understand the latest tools to emerge from this field and who are looking to incorporate them in their practice. Additionally, academicians, researchers, and students in fields that include but are not limited to business, management science, organizational development, entrepreneurship, sociology, corporate psychology, computer science, and information technology will benefit from the research compiled within this publication.
Author: Josh Diakun
Publisher: Packt Publishing Ltd
ISBN: 184969785X
Category : Computers
Languages : en
Pages : 639
Get Book Here
Book Description
This book is intended for users of all levels who are looking to leverage the Splunk Enterprise platform as a valuable operational intelligence tool. The recipes provided in this book will appeal to individuals from all facets of a business – IT, Security, Product, Marketing, and many more!
Author: Erik Kleinsmith
Publisher:
ISBN: 9781516523580
Category :
Languages : en
Pages : 348
Get Book Here
Book Description
Intelligence Operations: Understanding Data, Tools, People, and Processes helps readers understand the various issues and considerations an intelligence professional must tackle when reviewing, planning, and managing intelligence operations, regardless of level or environment. The book opens by introducing the reader to the many defining concepts associated with intelligence, as well as the main subject of intelligence: the threat. Additional chapters examine the community of intelligence, revealing where intelligence is actually practiced, as well as what defines and characterizes intelligence operations. Readers learn about the four critical components to every intelligence operation--data, tools, people, and processes--and then explore the various operational and analytic processes involved in greater detail. Throughout, the text encourages discovery and discussion, urging readers to first understand the material, then break it down, adapt it, and apply it in a way that supports their particular operations or requirements. Unique in approach and designed to assist professionals at all levels, Intelligence Operations is an excellent resource for both academic courses in the subject and practical application by intelligence personnel. Erik Kleinsmith is Associate Vice President for Strategic Relations in Intelligence, National, Homeland and Cyber Security for American Military University. Culminating his military career as Chief of Intelligence for the U.S. Army's Land Information Warfare Activity, Erik pioneered the development of asymmetric threat analysis using data mining technology. In this capacity, he gained national prestige related to his involvement in the Able Danger program as the military lead of a team of analysts profiling and mapping Al Qaeda prior to 9/11. Erik continued his career in intelligence as a defense contractor, managing intelligence training with the U.S. Army for over a decade. His areas of expertise include intelligence, security-related training and analysis, counterintelligence, and information operations.
Author: Richard Jochelson, et al.
Publisher: Manitoba Law Journal
ISBN:
Category : Law
Languages : en
Pages : 409
Get Book Here
Book Description
Robson Crim is housed in Robson Hall, one of Canada's oldest law schools. Robson Crim has transformed into a Canada wide research hub in criminal law, with blog contributions from coast to coast, and from outside of this nation's borders. With over 30 academic peer collaborators at Canada's top law schools, Robson Crim is bringing leading criminal law research and writing to the reader. We also annually publish a special edition criminal law volume of the Manitoba Law Journal, providing a chance for authors to enter the peer reviewed fray. The Journal has ranked in the top 0.1 percent on Academia.edu and is widely used. This issue has articles from a variety of contributing authors including: David Ireland, Richard Jochelson, Heather Cave, Peter Sankoff, Jason M. Chin, Michael Lutsky, Itiel E. Dror, John W. Burchill, Christopher Sewrattan, Craig Forcese, Nicholas Rosati, Stephanie Ben-Ishai, Arash Nayerahmadi, Prashan Ranasinghe, Rebecca Jaremko Bromwich, Alanah Josey, James Gacek, and Ryan Ziegler.
Author: Chris Jay Hoofnagle
Publisher: John Wiley & Sons
ISBN: 1394262442
Category : Computers
Languages : en
Pages : 548
Get Book Here
Book Description
“A masterful guide to the interplay between cybersecurity and its societal, economic, and political impacts, equipping students with the critical thinking needed to navigate and influence security for our digital world.” —JOSIAH DYKSTRA, Trail of Bits “A comprehensive, multidisciplinary introduction to the technology and policy of cybersecurity. Start here if you are looking for an entry point to cyber.” —BRUCE SCHNEIER, author of A Hacker’s Mind: How the Powerful Bend Society’s Rules, and How to Bend Them Back The first-ever introduction to the full range of cybersecurity challenges Cybersecurity is crucial for preserving freedom in a connected world. Securing customer and business data, preventing election interference and the spread of disinformation, and understanding the vulnerabilities of key infrastructural systems are just a few of the areas in which cybersecurity professionals are indispensable. This textbook provides a comprehensive, student-oriented introduction to this capacious, interdisciplinary subject. Cybersecurity in Context covers both the policy and practical dimensions of the field. Beginning with an introduction to cybersecurity and its major challenges, it proceeds to discuss the key technologies which have brought cybersecurity to the fore, its theoretical and methodological frameworks and the legal and enforcement dimensions of the subject. The result is a cutting-edge guide to all key aspects of one of this century’s most important fields. Cybersecurity in Context is ideal for students in introductory cybersecurity classes, and for IT professionals looking to ground themselves in this essential field.
