Artificial intelligence by example : acquire advanced AI, machine learning, and deep learning design skills / Denis Rothman.
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TextLanguage: English Publisher: Birmingham : Packt Publishing Ltd., 2020Copyright date: ©2018Edition: Segunda ediciónDescription: xxi, 549 páginas : ilustraciones, gráficas ; 24 cmContent type: texto Media type: sin mediación Carrier type: volumenISBN: 9781839211539Subject(s): Inteligencia artificial -- Enseñanza | Cadena de bloques (Bases de datos) | Aprendizaje automático (Inteligencia Artificial) | Algoritmos genéticos -- Redes de computadores | Neuromórfica -- Redes de computadoresDDC classification: 006.3 | Item type | Current library | Collection | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General | 006.3 / R846 2020 (Browse shelf(Opens below)) | Ej.1 | Available | 7109101144 |
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Chapter 1. Getting started with next-generation artificial intelligence through reinforcement learning ; Chapter 2. Building a reward matrix designing your datasets ; Chapter 3. Machine intelligence evaluation functions and numerical convergence ; Chapter 4. Optimizing your solutions with K-Means clustering ; Chapter 5. How to use decision trees to enhance K-Means clustering ; Chapter 6. Innovating AI with google translate ; Chapter 7. Optimizing blockchains with naive bayes ; Chapter 8. Solving the XOR problem with a FNN ; Chapter 9. Abstract image classification with CNN ; Chapter 10. Conceptual representation learning ; Chapter 11. Combining RL and DL ; Chapter 12. AI and the IoT ; Chapter 13. Visualizing networks with TensorFlow 2.x and TensorBoard ; Chapter 14. Preparing the Input of Chatbots with RBMs and PCA ; Chapter 15. Setting up a cognitive NLP UI/CUI Chatbot ; Chapter 16. Improving the emotional intelligence deficiencies of chatbots ; Chapter 17. Genetic algorithms in hybrid neural networks ; Chapter 18. Neuromorphic computing ; Chapter 19. Quantum computing .
Artificial intelligence by example, second edition serves as a starting point for you to understand how AI is built, with the help of intriguing and exciting examples. This book will make you an adaptive thinker and help you apply concepts to real-world scenarios. Using some of the most interesting AI examples, right from computer programs such as a simple chess engine to cognitive chatbots, you will learn how to tackle the machine you are competing with. You will study some of the most advanced machine learning models, understand how to apply AI to blockchain and Internet of Things (IoT), and develop emotional quotient in chatbots using neural networks such as recurrent neural networks (RNNs) and convolutional neural networks (CNNs). editor.
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