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| 1 |
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The Author's AI Toolkit: From Concept to Publication
by
Hank Quense (Goodreads Author)
4.81 avg rating — 57 ratings
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| 2 |
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Machine Learning with Neural Networks: An In-depth Visual Introduction with Python: Make Your Own Neural Network in Python: A Simple Guide on Machine Learning with Neural Networks.
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really liked it 4.00 avg rating — 174 ratings
score: 799,
and
8 people voted
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| 3 |
|
Deep Learning (Adaptive Computation and Machine Learning series)
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4.44 avg rating — 2,096 ratings
score: 688,
and
7 people voted
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| 4 |
|
Neural Networks and Deep Learning
by
Michael Nielsen (Goodreads Author)
4.58 avg rating — 450 ratings
score: 596,
and
6 people voted
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| 5 |
|
The Math of Neural Networks
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4.17 avg rating — 110 ratings
score: 396,
and
4 people voted
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| 6 |
|
Neural Smithing: Supervised Learning in Feedforward Artificial Neural Networks
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3.61 avg rating — 18 ratings
score: 296,
and
3 people voted
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| 7 |
|
Never Go With Your Gut: How Pioneering Leaders Make the Best Decisions and Avoid Business Disasters
by
Gleb Tsipursky (Goodreads Author)
4.12 avg rating — 257 ratings
score: 290,
and
3 people voted
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| 8 |
|
Machine Learning: An Introduction Math Guide for Beginners to Understand Data Science Through the Business Applications
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4.39 avg rating — 23 ratings
score: 200,
and
2 people voted
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| 9 |
|
BISHOP:NEURAL NETWORKS FOR PATTERN RECOGNITION PAPER (Advanced Texts in Econometrics (Paperback))
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4.11 avg rating — 171 ratings
score: 198,
and
2 people voted
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| 9 |
|
Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining
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4.28 avg rating — 32 ratings
score: 198,
and
2 people voted
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| 11 |
|
The Truth-Seeker’s Handbook: A Science-Based Guide
by
Gleb Tsipursky (Goodreads Author)
4.18 avg rating — 77 ratings
score: 193,
and
2 people voted
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| 12 |
|
Deep Learning, Vol. 1: From Basics to Practice
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really liked it 4.00 avg rating — 17 ratings
score: 183,
and
2 people voted
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| 13 |
|
Deep Learning, Vol. 2: From Basics to Practice
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really liked it 4.00 avg rating — 15 ratings
score: 181,
and
2 people voted
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| 14 |
|
Make Your Own Neural Network
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4.35 avg rating — 697 ratings
score: 100,
and
1 person voted
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| 14 |
|
Artificial Intelligence and Machine Learning for Business: A No-Nonsense Guide to Data Driven Technologies
by
Steven Finlay (Goodreads Author)
4.12 avg rating — 204 ratings
score: 100,
and
1 person voted
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| 14 |
|
A Primer to the 42 Most commonly used Machine Learning Algorithms (With Code Samples). (Artificial Intelligence Book 1)
by
Murat Durmus (Goodreads Author)
4.20 avg rating — 10 ratings
score: 100,
and
1 person voted
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| 14 |
|
Machine Learning for Imbalanced Data: Tackle imbalanced datasets using machine learning and deep learning techniques
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4.86 avg rating — 7 ratings
score: 100,
and
1 person voted
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| 18 |
|
Neural and Adaptive Systems: Fundamentals through Simulations
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3.40 avg rating — 10 ratings
score: 98,
and
1 person voted
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| 18 |
|
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
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4.80 avg rating — 20 ratings
score: 98,
and
1 person voted
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| 18 |
|
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
by
4.80 avg rating — 20 ratings
score: 98,
and
1 person voted
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| 21 |
|
Neural Networks: A Systematic Introduction
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3.63 avg rating — 19 ratings
score: 96,
and
1 person voted
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| 22 |
|
Handbook of Neuroevolution Through Erlang
by
4.45 avg rating — 11 ratings
score: 95,
and
1 person voted
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| 23 |
|
Neural Networks and Deep Learning: A Textbook
by
4.30 avg rating — 47 ratings
score: 94,
and
1 person voted
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| 24 |
|
Practical Neural Network Recipes in C++
by
Timothy Masters (Goodreads Author)
3.74 avg rating — 27 ratings
score: 93,
and
1 person voted
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| 25 |
|
Signal and Image Processing with Neural Networks: A C++ Sourcebook
by
Timothy Masters (Goodreads Author)
3.33 avg rating — 6 ratings
score: 92,
and
1 person voted
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| 26 |
|
Advanced Algorithms for Neural Networks: A C++ Sourcebook
by
Timothy Masters (Goodreads Author)
3.80 avg rating — 10 ratings
score: 91,
and
1 person voted
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| 27 |
|
Neural, Novel & Hybrid Algorithms for Time Series Prediction
by
Timothy Masters (Goodreads Author)
3.73 avg rating — 11 ratings
score: 90,
and
1 person voted
|
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| 28 |
|
Adaptive Pattern Recognition and Neural Networks
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really liked it 4.00 avg rating — 3 ratings
score: 89,
and
1 person voted
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| 29 |
|
Fundamentals of Neural Networks: Architectures, Algorithms And Applications
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3.99 avg rating — 75 ratings
score: 88,
and
1 person voted
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| 30 |
|
Neural Network Training Using Genetic Algorithms
by
liked it 3.00 avg rating — 1 rating
score: 87,
and
1 person voted
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| 31 |
|
Neural Networks: Algorithms, Applications, and Programming Techniques (Computation and Neural Systems Series)
by
3.89 avg rating — 18 ratings
score: 86,
and
1 person voted
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| 32 |
|
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
by
Timothy Masters (Goodreads Author)
3.85 avg rating — 13 ratings
score: 83,
and
1 person voted
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| 33 |
|
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain
by
Timothy Masters (Goodreads Author)
3.60 avg rating — 5 ratings
score: 82,
and
1 person voted
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| 34 |
|
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets
by
Timothy Masters (Goodreads Author)
really liked it 4.00 avg rating — 3 ratings
score: 81,
and
1 person voted
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