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Analysis and Programming courses City of London
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...Neural Network Recursive Neural Network Recurrent Neural Network Overview of libraries and interfaces available in Python Caffee Theano Tensorflow Keras... Learn about: Network Training...
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- City Of London
...Shaping Exploration Generalization Partially Observable MDPs Options Logistics TD Lambda Policy Gradients Deep Q-Learning Topics in Game Theory Summary and Conclusion...
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...in a public classroom with 35 hours duration due to the vastness of the subject. The Duration of the complete course will be around 70 hours and not 35 hours... Learn about: Network Training...
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- City Of London
...Collective Intelligence: aggregating knowledge shared by many virtual agents - Genetic algorithms: to evolve a population of virtual agents by selection... Learn about: Network Training, Artificial Intelligence...
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- City Of London
...statisticians that have some familiarity with statistics and know how to program R (or Python or other chosen language). The emphasis of this course...
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...3）判定边界Decision Boundary 4）损失函数Cost Function 5）简化损失函数和梯度下降Simplified Cost Function and Gradient Descent 6）参数优化Parameter Optimization 7）多类分类Multiclass classification...
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...along the way to check understanding Introduction to Torch Like NumPy but with CPU and GPU implementation Torch's usage in machine learning...
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- City Of London
...Extraction Building Highly Accurate Predictive Models Improving Machine Learning Results Ensemble Methods Summary and Conclusion... Learn about: Financial Training...
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- City Of London
...meaning from text How Unsupervised Deep Learning works Installing and Setting Up Python Deep Learning libraries Using the Keras DL library on top of TensorFlow...
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- City Of London
...Plug-ins Applications Components and libraries Image processing in Marvin Video processing in Marvin Multi-threading in Marvin Unit testing in Marvin Working...
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- City Of London
...Common Computer Vision Algorithms and Methods Thresholding Finding Contours Background Subtraction Using Detectors Implementing Feature Extraction...
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...and resource planning Applying algorithms to large data sets with Hadoop and Spark Predictive Analytics Workflow Accessing and exploring data Preprocessing...
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- City Of London
...Exploring Other Machine Language Approaches Troubleshooting Text Encoding Issues Closing Remarks...
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- City Of London
...a Model from Scratch Extending OpenNLP Closing remarks...
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- City Of London
...Evaluating three Python summarization libraries: sumy 0.7.0, pysummarization 1.0.4, readless 1.0.17 based on documented features Choosing a library...
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- City Of London
...and Rasa NLU Intents and Entities and their Classifications Natural Language Processing Fundamentals Theory Refresher Building Models from Real-World Sentences... Learn about: Database training...
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- City Of London
...t-eoSharing.cpp t-eoShiftMutation.cpp t-eoSSGA.cpp t-eoStateAndParser.cpp t-eoSwapMutation.cpp t-eoSymreg.cpp t-eoSyncEasyPSO.cpp t-eoTwoOptMutation...
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- City Of London
...model Building an Android application with PocketSphinx Performance tuning Summary and conclusion...
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- City Of London
...Machine Learning Scoring Using HDInsight Spark to Summarize Data Working with Azure Data Lake Analytics Working with Stream Analytics Visualizing...
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- City Of London
...Winners and losers Assessing the current state of your company Technical innovations applied to the insurance sector Big Data, Blockchain... Learn about: Team Training...