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Nobleprog (uk) Limited courses

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...of accessing new markets Finding the best solutions and useful instruments relevant to your company/industry... Learn about: International Trade, Sales Training, Sales Marketing... More


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...synonyms User profile restore, labeling system Recommended algorithms Insuring the accuracy of "lift" between and within categories How to create closed... Learn about: Data analysis, Artificial Intelligence... More


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...and Configuring Nextcloud Overview of Nextcloud Features and Architecture Overview of Industry-Specialized Nextcloud Features Nextcloud for Healthcare... More


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...Image recognition – CNN Detecting anomalies with Autoencoders Forecasting time series with RNN Dimensionality reduction with Autoencoder Classification with RBM... Learn about: Network Training... More


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...Shaping Exploration Generalization Partially Observable MDPs Options Logistics TD Lambda Policy Gradients Deep Q-Learning Topics in Game Theory Summary and Conclusion... More


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...super-resolution, pixel-to-pixel segmentation. Presentation of Main strategies for increasing feature maps for image generation. Recurrent Neural Networks (RNN)... Learn about: Network Training... More


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...Artificial intelligence has revolutionized a large number of economic sectors (industry, medicine, communication, etc.) after having upset many scientific fields... Learn about: Network Training, Artificial Intelligence... More


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...Compiling with QT Creator Integrating, testing and debugging your application The future of neural networks and OpenNN... Learn about: Network Training... More


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...rules The Apriori algorithm for association rule learning Measuring rule interest – support and confidence Building a set of rules with the Apriori principle... Learn about: Network Training... More


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...training and convergence. Functional approximation with back propagation. Practical and design issues of back propagation learning. Radial Basis Function Networks... Learn about: Network Training... More


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...on the practical aspects of data/model preparation, execution, post hoc analysis and visualization. The purpose is to give practical applications to Machine... More


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...Basics Concept of neurons and neural networks A simplified model of the brain Opportunities neuron XOR problem and the nature of the distribution of values... Learn about: Network Training... More


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...Local Quantum Computing Simulator Testing and Debugging Your Quantum Program Troubleshooting Summary and Conclusion... Learn about: Visual Studio... More


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...and its various libraries, and based on a multitude of practical examples this course teaches how to use the most important building blocks of Machine Learning... More


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...In this training participants will learn how to use Fairseq to carry out translation of sample content. By the end of this training, participants... More


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...K-means clustering Examples Challenges of unsupervised learning and beyond K-means Short Introduction to NLP methods word and sentence tokenization... More


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...Control statements If else, switch, for, while Octave programming II: Functions Matrices and vectors Matrix, the transpose operator, matrix creation functions... More


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...Torch is an open source machine learning library and a scientific computing framework based on the Lua programming language. It provides a development environment for numerics... More


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...learning and beyond K-means Advanced topics Ensemble models Mixed models Boosting Examples Multidimensional reduction Factor Analysis Principal Component... Learn about: Data Mining... More


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...In this instructor-led, live training, participants will learn the most relevant and cutting-edge machine learning techniques in Python as they build... Learn about: Financial Training... More


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