Forbes: According to Forbes Magazine, James Harris Simons has a fortune of $ 20 billion He built it using mathematics

  According to Forbes Magazine, James Harris Simons has a fortune of $ 20 billion (actual information).  He built it using mathematics. According to Forbes Magazine, James Harris Simons has a fortune of $ 14 billion He built it using mathematics. Simons also worked for the Government as a top-secret codebreaker. This knowledge of modeling and […]

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Autoencoders: neural networks in the fight against plagiarism – effective autoencoders

An autoencoder is a type of artificial neural network used to learn efficient data codings in an unsupervised manner. The aim of an autoencoder is to learn a representation (encoding) for a set of data, typically for dimensionality reduction. Recently, the autoencoder concept has become more widely used for learning generative models of data. Some […]

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Toxicity Prediction using Deep Learning

  The pharmaceutical industry has recently begun using deep-learning techniques to detect drugs and predict the effects of new toxins, and the analyzes carried out prove that these methods far outweigh the effectiveness of traditional screening tests https://www.frontiersin.org/articles/10.3389/fenvs.2015.00080/full

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Machine Learning in NLP (Natural Language Processing) in practice – part I

I’d like to present solution regarding application Machine Learning in NLP (Natural Language Processing) for opinion mining from practical point of view. Opinion mining (sometimes known as sentiment analysis or emotion AI) refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective […]

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Artificial Intelligence in practice: License Plate Recognition with application of SVM, KNN and RBM algorithms

In case of License Plate Recognition we can apply such methods of AI like  SVM, KNN and RBM (based on Boltzmann machine) algorithms. Works very fine in real time. Mentioned methods are using in detect and recognize of characters located on licence plate. All analyzes are performed on a trained model. So not only CNN can […]

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FPGA processor: Deep Learning for security barrier camera sample to perform vehicle detection, vehicle attributes and license-plate recognition tasks. 

The demo illustrates my own solution for security barrier camera sample with pre-trained models to perform vehicle detection, vehicle attributes and license-plate recognition tasks. Solution bases on Intel and dedicated for mainly FPGA, but also works on CPU, GPU processors. Software written in low-level C/C++. Please pay attention that solution extracts region of country (i.e. […]

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Deep Learning in practice – detection and recognising stuff (goods) in real time

Artificial Intelligence in practice – my own system to detect and recognize stuff (goods) in real time. Notice that system recognises very good also parts of used things for tests e.g. part of people body etc.  Very good for detecting deficiencies(a damage of goods) on the production line in factories. Solution bases on Deep Machine […]

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Deep Learning in practice – recognition bases on camera image analysis in real time

  Artificial Intelligence in practice – I wrote a program which on the basis of camera image analysis in real time recognises for instance – playing cats 🙂 It can be used with ease for other solutions – eg detecting intrusions, object monitoring etc. System without any problem recognises animals, things, people etc. Note that […]

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Deep Learning with Keras – Antonio Gulli, Sujit Pal

I’d like to recommend one of the best books I’ve ever read about machine learning and keras!!! It perfectly introduces to machine learning issues in technical, practical and mathematical terms Book Description This book starts by introducing you to supervised learning algorithms such as simple linear regression, the classical multilayer perceptron and more sophisticated deep convolutional […]

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