Articles

Affichage des articles du octobre, 2018

Artificial Intelligence By Example

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Artificial Intelligence By Example
I'm proud to announce that my book, Artificial Intelligence by Example, has been published! It shows how to build real-life #AI, #ML, and #DL programs based on projects I successfully implemented for major corporations.
I'll be speaking at various AI conferences this year in Bulgaria, Finland, Morocco, podcasts and more. Many thanks to Packt>'s fantastic editing team(Birmingham, Mumbai)!   The book is available at the following links: Packt: https://www.packtpub.com/big-data-and-business-intelligence/artificial-intelligence-example Amazon:https://www.
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How to Build Machine Learning Models in C#
In this article, Yoon Hyup Hwang, the author of the book, C# Machine Learning Projects, discusses how to build machine learning models using C#. 
With rising importance of data and its usage in solving business problems, data science and machine learning have become a hot topic amongst various industries. 
As the desire to use and implement machine learning for various business use cases increases, more and more organizations are facing numerous challenges. For some, it might be difficult to find and source data scientists for their projects. For some others, the challenge can come from their technology infrastructure restrictions.
Since the field of machine learning and data science is relatively new and the size of data has become so large, many legacy systems and infrastructures do not typically support building machine learning models and systems very well.
For example,large number of machine learning models and systems are typically bu…

Artificial Intelligence applied to art collections

Artificial Intelligence applied to art collections can provide unsuspected insights to both art amateurs and experts.
Let’s explore how this can be accomplished both technically and commercially.
Technical approach 1.A neural network that trains to learn the complete works of a painter
A CNN could be trained to classify the paintings of Eugène Delacroix, for example, in a few steps: - -     Run a CNN such as described in the “Getting Your Neurons to Work” chapter in Artificial Intelligence by Example: kernels, ReLU activations, pooling, flattening, dense layers, a cross-entropy loss function an Adam optimizer and more.-Once the architecture has been designed the training dataset will contain Eugène Delacroix’s paintings, some data augmentation with noise to avoid overfitting and some bad images to avoid overfitting-The trained model can then classify Eugène Delacroix’s paintings among any other image-An extended version could identify any painter’s work in a set of images
2.Comparative…

How to Build Machine Learning Models in C#

I wanted to share this article by author Yoon Hyup Hwang of the book C# Machine Learning Projects. It's a good practical approach to C# ML.
With the rising importance of data and its usage in solving business problems, data science and machine learning have become a hot topic amongst various industries. As the desire to use and implement machine learning for various businesses use cases increases, more and more organizations are facing numerous challenges. For some, it might be difficult to find and source data scientists for their projects. For some others, the challenge can come from their technology infrastructure restrictions. Since the field of machine learning and data science is relatively new and the size of data is large, many legacy systems and infrastructures do not typically support building machine learning models and systems very well. One example can be the fact that a large number of machine learning models and systems are typically built using Python and/or R, bu…