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    Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Karthikeyan NG, Arun Padmanabhan, Matt R. Cole

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Karthikeyan NG, Arun Padmanabhan, Matt R. Cole - okladka książki

    Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Karthikeyan NG, Arun Padmanabhan, Matt R. Cole - okladka książki

    Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Karthikeyan NG, Arun Padmanabhan, Matt R. Cole - audiobook MP3

    Mobile Artificial Intelligence Projects. Develop seven projects on your smartphone using artificial intelligence and deep learning techniques Karthikeyan NG, Arun Padmanabhan, Matt R. Cole - audiobook CD

    Autorzy:
    Karthikeyan NG, Arun Padmanabhan, Matt R. Cole
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    312
    Dostępne formaty:
         PDF
         ePub
         Mobi
    We’re witnessing a revolution in Artificial Intelligence, thanks to breakthroughs in deep learning. Mobile Artificial Intelligence Projects empowers you to take part in this revolution by applying Artificial Intelligence (AI) techniques to design applications for natural language processing (NLP), robotics, and computer vision.

    This book teaches you to harness the power of AI in mobile applications along with learning the core functions of NLP, neural networks, deep learning, and mobile vision. It features a range of projects, covering tasks such as real-estate price prediction, recognizing hand-written digits, predicting car damage, and sentiment analysis. You will learn to utilize NLP and machine learning algorithms to make applications more predictive, proactive, and capable of making autonomous decisions with less human input. In the concluding chapters, you will work with popular libraries, such as TensorFlow Lite, CoreML, and PyTorch across Android and iOS platforms.

    By the end of this book, you will have developed exciting and more intuitive mobile applications that deliver a customized and more personalized experience to users.

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    O autorach książki

    Karthikeyan NG is the Head of Engineering and Technology at the Indian lifestyle and fashion retail brand. He served as a software engineer at Symantec Corporation and has worked with 2 US-based startups as an early employee and has built various products. He has 9+ years of experience in various scalable products using Web, Mobile, ML, AR, and VR technologies. He is an aspiring entrepreneur and technology evangelist. His interests lie in exploring new technologies and innovative ideas to resolve a problem. He has also bagged prizes from more than 15 hackathons, is a TEDx speaker and a speaker at technology conferences and meetups as well as guest lecturer at a Bengaluru University. When not at work, he is found trekking.
    Arun Padmanabhan is a Machine Learning consultant with over 8 years of experience building end-to-end machine learning solutions and applications. Currently working with a couple of start-ups in the Financial and Insurance industries, he specializes in automating manual workflows using AI and creating Machine Vision and NLP applications. In past, he has led the data science team of a Singapore based product startup in the restaurant domain. He also has built stand-alone and integrated Machine Learning solutions in the Manufacturing, Shipping and e-commerce domains over the years. His interests are in research, development and applications of Artificial Intelligence and Deep Architectures.

    Matt R. Cole od 30 lat programuje dla systemu Windows — biegle posługuje się językami: C, C++, C# oraz platformą .NET. Napisał system generowania mowy oraz system VOIP dla NASA, którego używano na promach kosmicznych i stacji kosmicznej. Przygotował pierwszy framework mikrousług klasy enterprise (napisany w całości w C# i .NET), wykorzystywany przez jeden z głównych funduszy hedgingowych. Napisał też framework sztucznej inteligencji, w którym zintegrowane zostały neurony lustrzane i kanoniczne.

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