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idee hoe slimme IT-systemen werken. Dit boek geeft in begrijpelijke taal een overzicht van deep learning, het deelgebied van de AI waarin;
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From humble evolutions in research papers and labs, artificial intelligence (AI)-which encompasses Machine Learning (ML) and Deep Learning;
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, GANs, VAEs, and deep reinforcement learning that drive today's most impressive AI results. Key Features Explore the most advanced deep;
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Provides a proficient guide on the relationship between AI and healthcare and how AI is changing all aspects of the health care industry;
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introduction to AI and its applications in different industries, along with an overview of AWS artificial intelligence and machine learning services;
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Artificial Intelligence (AI), when incorporated with machine learning and deep learning algorithms, has a wide variety of applications;
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applying advanced AI techniques, in particular deep learning and reinforcement learning, users can train their Go-bot in the rules and tactics;
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, maar je moet er soms ook voor uitkijken.The Art of AI is dé praktische en toegankelijke introductie in machine learning en kunstmatige;
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programming technology needed by researchers developing AI applications. Chapters cover the theoretical fundamentals of AI and deep learning;
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AI for Cars book provides a short-guided tour through many different AI landscapes including robotics, image and speech processing;
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will be ''how to apply Deep Learning AI in a business context?'' Technology that is disruptive does not automatically imply that its;
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learning, including Markov's Decision process and Semi Markov Decision process. The next section shows you how to get started with Open AI before;
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business applications that use AI and the breakthrough form of AI -- deep learning, provides his readers with a no math explanation of deep;
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AI topics will be explored, including expert systems, machine learning both shallow and deep, fuzzy logic control, and more! AI in action;
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as a living being Investigates the issue of computational complexity through deep-learning strategies for understanding AI-complete problems;
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How deep learning-from Google Translate to driverless cars to personal cognitive assistants-is changing our lives and transforming every;
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knowledge of data mining, machine learning, and AI, and little exposure to the vast potential of these powerful new tools for medicine in general;
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understand deep reinforcement learning along with deep q networks and policy gradient models implementation with TensorFlow, PyTorch, and Open AI Gym;
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AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks;
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AI computing framework. Divided into 14 chapters, the book covers deep learning, deep neural networks (DNNs), convolutional neural networks;
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to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable;
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to deep learning in AI and NLP with current research on Deep Neural Networks in computational linguistics. is self-contained and suitable;
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. They deal with AI and related research focusing on comparison and integration of CBR with other AI methods such as deep learning architectures;
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simple business AI application. Learn key concepts for data science, machine learning, and deep learning Explore tools like Video AI and;
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Discover recipes for developing AI applications to solve a variety of real-world business problems using reinforcement learning Key;
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