Nobleprog Limited courses

...Introduction Reinforcement Learning Basics Basic Reinforcement Learning Techniques Introduction to BURLAP Convergence of Value and Policy Iteration Reward...

...Linear regression, Naive Bayes, Random Tree Machine learning VS Deep Learning: problems on which Machine Learning remains Today the state of the... Learn about: Network Training...

...disadvantages, position in the ecosystem and use is planned. - Data management tools: Apache Spark, Apache Hadoop - Tools Machine Learning: Numpy... Learn about: Artificial Intelligence, Network Training...

...network application Choosing a suitable neural network Formulating the variational problem (loss index) Solving the reduced function optimization problem... Learn about: Network Training...

...Precision and recall The F-measure Visualizing performance tradeoffs ROC curves Estimating future performance The holdout method Cross-validation Bootstrap sampling... Learn about: Network Training...

...Competitive Learning and Self organizing ANN. General clustering procedures. Learning Vector Quantization (LVQ). Competitive learning algorithms and architectures... Learn about: Network Training...

...Support Vector Machines (SVM) for regression and classification Boosting Ensemble models Neural networks Hidden Markov Models (HMM) Space State Models Clustering...

...and gaming issues Turing test again Over-confidence in the capabilities of computers... Learn about: Network Training...

...File Structures Operations and Functions Working with Qubits Creating Your First Quantum Program with Q# Setting Up a Quantum Solution and Project in Visual... Learn about: Visual Studio...

...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...

...of the course Part lecture, part discussion, heavy hands-on practice Note If you wish to use specific source and target language content, please contact us to arrange...

...Learning Technical Overview R v/s Python Caffe v/s Tensor Flow Various Machine Learning Libraries Industry Case Studies...

...building composite matrices, matrices as tables, extracting bits of matrices, basic matrix functions Linear and Nonlinear Equations More graphs Putting...

...serialization in Torch Coding exercise Loading a dataset in Torch MNIST CIFAR-10, CIFAR-100 Imagenet Machine Learning in Torch Deep Learning Manual feature...

...Cross-validation and Resampling Cross-validation approaches Bootstrap Exercises Unsupervised Learning K-means clustering Examples Challenges of unsupervised... Learn about: Data Mining...

...Extraction Building Highly Accurate Predictive Models Improving Machine Learning Results Ensemble Methods Summary and Conclusion... Learn about: Financial Training...

...DL frameworks Deploying your DL application Using GPUs to accelerate DL Closing remarks...

...Install and configure RapidMiner Prepare and visualize data with RapidMiner Validate machine learning models Mashup data and create predictive models Operationalize...

...used in the field of pattern matching as it applies to Machine Vision. Introduction Computer Vision Machine Vision Pattern Matching vs Pattern Recognition...

...Plug-ins Applications Components and libraries Image processing in Marvin Video processing in Marvin Multi-threading in Marvin Unit testing in Marvin Working...