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Artificial intelligence by example : develop machine intelligence from scratch using real artificial intelligence use cases /
Artificial Intelligence(AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham :
Packt Publishing,
[2018]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Rothman, Denis, |e author. | |
| 245 | 1 | 0 | |a Artificial intelligence by example : |b develop machine intelligence from scratch using real artificial intelligence use cases / |c Denis Rothman. |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c [2018] | |
| 264 | 4 | |c ©2018 | |
| 300 | |a 1 online resource (xi, 458 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
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| 505 | 0 | |a Cover; Title Page; Copyright and Credits; Dedication; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Become an Adaptive Thinker; Technical requirements; How to be an adaptive thinker; Addressing real-life issues before coding a solution; Step 1 -- MDP in natural language; Step 2 -- the mathematical representation of the Bellman equation and MDP; From MDP to the Bellman equation; Step 3 -- implementing the solution in Python; The lessons of reinforcement learning; How to use the outputs; Machine learning versus traditional applications; Summary; Questions; Further reading. | |
| 505 | 8 | |a Chapter 2: Think like a MachineTechnical requirements; Designing datasets -- where the dream stops and the hard work begins; Designing datasets in natural language meetings; Using the McCulloch-Pitts neuron ; The McCulloch-Pitts neuron; The architecture of Python TensorFlow; Logistic activation functions and classifiers; Overall architecture; Logistic classifier; Logistic function; Softmax; Summary; Questions; Further reading; Chapter 3: Apply Machine Thinking to a Human Problem; Technical requirements; Determining what and how to measure; Convergence; Implicit convergence. | |
| 505 | 8 | |a Numerical -- controlled convergenceApplying machine thinking to a human problem; Evaluating a position in a chess game; Applying the evaluation and convergence process to a business problem; Using supervised learning to evaluate result quality; Summary; Questions; Further reading; Chapter 4: Become an Unconventional Innovator; Technical requirements; The XOR limit of the original perceptron; XOR and linearly separable models; Linearly separable models; The XOR limit of a linear model, such as the original perceptron; Building a feedforward neural network from scratch. | |
| 505 | 8 | |a Step 1 -- Defining a feedforward neural networkStep 2 -- how two children solve the XOR problem every day; Implementing a vintage XOR solution in Python with an FNN and backpropagation; A simplified version of a cost function and gradient descent; Linear separability was achieved; Applying the FNN XOR solution to a case study to optimize subsets of data; Summary; Questions; Further reading; Chapter 5: Manage the Power of Machine Learning and Deep Learning; Technical requirements; Building the architecture of an FNN with TensorFlow. | |
| 505 | 8 | |a Writing code using the data flow graph as an architectural roadmapA data flow graph translated into source code; The input data layer; The hidden layer; The output layer; The cost or loss function; Gradient descent and backpropagation; Running the session; Checking linear separability; Using TensorBoard to design the architecture of your machine learning and deep learning solutions; Designing the architecture of the data flow graph; Displaying the data flow graph in TensorBoard; The final source code with TensorFlow and TensorBoard; Using TensorBoard in a corporate environment. | |
| 500 | |a Using TensorBoard to explain the concept of classifying customer products to a CEO. | ||
| 520 | |a Artificial Intelligence(AI), gets your system to think smart and intelligent. This book is packed with some of the smartest and easy-peasy examples through which you will learn the fundamentals of AI. You will have acquired the foundation of AI and understood the practical case studies in this book. | ||
| 504 | |a Includes bibliographical references, webology and index. | ||
| 588 | 0 | |a Online resource; title from digital title page (viewed on May 10, 2019). | |
| 590 | |a ProQuest Ebook Central |b Ebook Central Academic Complete | ||
| 650 | 0 | |a Artificial intelligence |x Data processing. | |
| 650 | 0 | |a Application software |x Development. | |
| 650 | 0 | |a Python (Computer program language) | |
| 650 | 0 | |a Cloud computing. | |
| 650 | 6 | |a Intelligence artificielle |x Informatique. | |
| 650 | 6 | |a Logiciels d'application |x Développement. | |
| 650 | 6 | |a Python (Langage de programmation) | |
| 650 | 6 | |a Infonuagique. | |
| 650 | 7 | |a Mathematical theory of computation. |2 bicssc | |
| 650 | 7 | |a Machine learning. |2 bicssc | |
| 650 | 7 | |a Neural networks & fuzzy systems. |2 bicssc | |
| 650 | 7 | |a Artificial intelligence. |2 bicssc | |
| 650 | 7 | |a Computers |x Machine Theory. |2 bisacsh | |
| 650 | 7 | |a Computers |x Neural Networks. |2 bisacsh | |
| 650 | 7 | |a Computers |x Intelligence (AI) & Semantics. |2 bisacsh | |
| 650 | 7 | |a Application software |x Development |2 fast | |
| 650 | 7 | |a Artificial intelligence |x Data processing |2 fast | |
| 650 | 7 | |a Cloud computing |2 fast | |
| 650 | 7 | |a Python (Computer program language) |2 fast | |
| 758 | |i has work: |a Artificial Intelligence By Example (Text) |1 https://id.oclc.org/worldcat/entity/E39PCYRPQw8g9bmtRtQDRMYHG3 |4 https://id.oclc.org/worldcat/ontology/hasWork | ||
| 776 | 0 | 8 | |i Print version: |a Rothman, Denis. |t Artificial Intelligence By Example : Develop machine intelligence from scratch using real artificial intelligence use cases. |d Birmingham : Packt Publishing, ©2018 |
| 856 | 4 | 0 | |u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=5405678 |z Texto completo |
| 938 | |a Askews and Holts Library Services |b ASKH |n BDZ0036924761 | ||
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