Artificial intelligence with python cookbook : proven recipes for applying ai algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6
If you are looking to build next-generation AI solutions for work or even for your pet projects, you'll find this cookbook useful. With the help of easy-to-follow recipes, this book will take you through the advanced AI and machine learning approaches and algorithms that are required to build s...
Saved in:
| Main Author | |
|---|---|
| Format | Electronic eBook |
| Language | English |
| Published |
Birmingham :
PACKT Publishing,
2020.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9781789137965 1789137969 |
| Physical Description | 1 online resource |
Cover
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| 020 | |a 1789137969 |q electronic book | ||
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| 100 | 1 | |a Auffarth, Ben. | |
| 245 | 1 | 0 | |a Artificial intelligence with python cookbook : |b proven recipes for applying ai algorithms and deep learning techniques using TensorFlow 2.x and PyTorch 1.6 |
| 264 | 1 | |a Birmingham : |b PACKT Publishing, |c 2020. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
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| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a If you are looking to build next-generation AI solutions for work or even for your pet projects, you'll find this cookbook useful. With the help of easy-to-follow recipes, this book will take you through the advanced AI and machine learning approaches and algorithms that are required to build smart models for problem-solving. | ||
| 505 | 0 | |a Cover -- Title Page -- Copyright and Credits -- About Packt -- Contributors -- Table of Contents -- Preface -- Chapter 1: Getting Started with Artificial Intelligence in Python -- Technical requirements -- Setting up a Jupyter environment -- Getting ready -- How to do it... -- Installing libraries with Google Colab -- Self-hosting a Jupyter Notebook environment -- How it works... -- There's more... -- See also -- Getting proficient in Python for AI -- Getting ready -- How to do it... -- Obtaining the history of Jupyter commands and outputs -- Execution history -- Outputs | |
| 505 | 8 | |a Auto-reloading packages -- Debugging -- Timing code execution -- Displaying progress bars -- Compiling your code -- Speeding up pandas DataFrames -- Parallelizing your code -- See also -- Classifying in scikit-learn, Keras, and PyTorch -- Getting ready -- How to do it... -- Visualizing data in seaborn -- Modeling in scikit-learn -- Modeling in Keras -- Modeling in PyTorch -- How it works... -- Neural network training -- The SELU activation function -- Softmax activation -- Cross-entropy -- See also -- Modeling with Keras -- Getting ready -- How to do it... -- Data loading and preprocessing | |
| 505 | 8 | |a Model training -- How it works... -- Maximal information coefficient -- Data generators -- Permutation importance -- See also -- Chapter 2: Advanced Topics in Supervised Machine Learning -- Technical requirements -- Transforming data in scikit-learn -- Getting ready -- How to do it... -- Encoding ranges numerically -- Deriving higher-order features -- Combining transformations -- How it works... -- There's more... -- See also -- Predicting house prices in PyTorch -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Live decisioning customer values | |
| 505 | 8 | |a Getting ready -- How to do it... -- How it works... -- Active learning -- Hoeffding Tree -- Class weighting -- See also -- Battling algorithmic bias -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Forecasting CO2 time series -- Getting ready -- How to do it... -- Analyzing time series using ARIMA and SARIMA -- How it works... -- There's more... -- See also -- Chapter 3: Patterns, Outliers, and Recommendations -- Clustering market segments -- Getting ready -- How to do it... -- How it works... -- There's more... -- See also -- Discovering anomalies | |
| 505 | 8 | |a Getting ready -- How to do it... -- How it works... -- k-nearest neighbors -- Isolation forest -- Autoencoder -- See also -- Representing for similarity search -- Getting ready -- How to do it... -- Baseline -- string comparison functions -- Bag-of-characters approach -- Siamese neural network approach -- How it works... -- Recommending products -- Getting ready -- How to do it... -- How it works... -- Precision at k -- Matrix factorization -- The lightfm model -- See also -- Spotting fraudster communities -- Getting ready -- How to do it... -- Creating an adjacency matrix | |
| 590 | |a Knovel |b Knovel (All titles) | ||
| 650 | 0 | |a Machine learning. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Python (Computer program language) | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 776 | 0 | 8 | |i Print version: |a Auffarth, Ben |t Artificial Intelligence with Python Cookbook : Proven Recipes for Applying AI Algorithms and Deep Learning Techniques Using TensorFlow 2. x and Pytorch 1. 6 |d Birmingham : Packt Publishing, Limited,c2020 |z 9781789133967 |
| 856 | 4 | 0 | |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpAIPCPAI9/artificial-intelligence-with?kpromoter=marc |y Full text |