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Fundamentals of Artificial Intelligence

Fundamentals of Artificial Intelligence - Paperback

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Availability:In StockContributor:Nisha Talagala, Sindhu GhantaPublish date:1/1/2022Pages:282
Language:EnglishPublisher:Pyxeda IncISBN-13:9780578362922ISBN-10:578362929UPC:9780578362922Book Category:Computers, EducationBook Subcategory:Artificial Intelligence, Computers & Technology, Computer LiteracySize:9.69 x 7.44 x 0.77 inchesWeight:1.5013Product ID:SC30CNXM8B

K12 Textbook with 10 chapters covering Machine/Deep Learning, Supervised/Unsupervised Learning, AI Ethics, Teacher's Guides, Coding Exercises, and Website.

Language:EnglishPublisher:Pyxeda IncISBN-13:9780578362922ISBN-10:578362929UPC:9780578362922Book Category:Computers, EducationBook Subcategory:Artificial Intelligence, Computers & Technology, Computer LiteracySize:9.69 x 7.44 x 0.77 inchesWeight:1.5013Product ID:SC30CNXM8B
Talagala, Nisha: - "Dr. Nisha Talagala is a world-renowned computer scientist and an expert in Artificial Intelligence and Machine Learning. The inspiration to write this book started with her experiences sharing the power of AI technology with her then 9 year old daughter. She found that there were not many resources available for kids to learn and interact with AIs in a way that is engaging and not intimidating. She found that, with the right tools and approach, kids can learn AI, become empowered, and create amazing innovations. Just like computer science and coding is an integral part of learning today, AI is required learning for all the professionals of tomorrow. AI is already here, all around our kids, and this book was created to help prepare our kids become AI Literate for their future. Nisha Talagala is the CEO and founder of AIClub.World which is bringing AI Literacy to K-12 students and individuals worldwide. Nisha has significant experience in introducing technologies like Artificial Intelligence to new learners from students to professionals. Previously, Nisha co-founded ParallelM which pioneered the MLOps practice of managing Machine Learning in production for enterprises - acquired by DataRobot. Nisha is a recognized leader in the operational machine learning space, having also driven the USENIX Operational ML Conference, the first industry/academic conference on production AI/ML. Nisha was previously a Fellow at SanDisk and Fellow/Lead Architect at Fusion-io, where she worked on innovation in non-volatile memory technologies and applications. Nisha has more than 20 years of expertise in enterprise software development, distributed systems, technical strategy and product leadership. She has worked as technology lead for server flash at Intel - where she led server platform non-volatile memory technology development, storage-memory convergence, and partnerships. Prior to Intel, Nisha was the CTO of Gear6, where she designed and built clustered computing caches for high performance I/O environments. Nisha earned her PhD at UC Berkeley where she did research on clusters and distributed systems. Nisha holds 73 patents in distributed systems and software, over 25 refereed research publications, is a frequent speaker at industry and academic events, and is a contributing writer to Forbes and other publications."Ghanta, Sindhu: - Dr. Sindhu Ghanta is an expert in Artificial Intelligence and Machine Learning, with several publications and talks in world class journals and conferences. This book is an expression of her passion for teaching and making this amazing technology accessible to young minds. She is the co-founder of AIClub and works as the Head of Machine Learning. She received the Ph.D. degree in electrical and computer engineering from Northeastern University, Boston, USA, in 2014, followed by a Post-Doctoral Fellowship with BIDMC in the Department of Pathology, Harvard Medical School, where she was involved in detection and classification of features from histopathological (breast cancer) images. She worked as a research scientist with Parallel Machines on monitoring the health of machine learning algorithms in production and has many publications in the area.
Publisher: Pyxeda Inc

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