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- Applied Data Science (ADS) 1
- Hybridized Spacecraft Attitude Control Via Reinforcement Learning Using Control Moment Gyroscope Arrays
- A Neural Network Meta-Model and Its Application for Manufacturing
- Convolutional Neural Networks (CNN) for Data Classification
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- Introduction to Data Science, Machine Learning, and Decision-Making for Higher Education 2021 TAIR Annual Conference (Virtual)
- Investigating Simple Object Representations in Model-Free Deep Reinforcement Learning
- The Data Science Blog
- Long Short-Term Memory Recurrent Neural Network for Detecting Ddos Flooding Attacks Within Tensorflow Implementation Framework
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- Arxiv:1802.03308V5 [Cs.LG] 4 May 2021 (Deng and Yu, 2014)
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- Explaining Machine Learning Models Armen Donigian Director of Data Science Engineering Roadmap
- Pre-Trained Deep Convolutional Neural Network for Clostridioides Difficile Bacteria Cytotoxicity Classification Based on Fluores
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- A Data Science Approach to Defining a Data Scientist
- Machine Learning for Dummies®, IBM Limited Edition
- Unsupervised Learning with Mixed Type Data for Detecting Money Laundering
- Modeling Trajectories with Recurrent Neural Networks
- Deep Artificial Neural Network Based on Environmental Sound Data For
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- Statistics Or Data Science? What About Machine Learning? Predictability Or Modeling? Big Data?
- Perceptron for Education V1
- Robust Online Time Series Prediction with Recurrent Neural Networks
- Graduate Data Science 1
- Practicing the Perceptron: Introducing Data Mining to the CS2 Classroom
- 7 Steps for Learning Data Mining and Data Science Share on Facebook Share on Linkedin 91 Previous Post Next Post
- Machine Learning Path: Data Scientist Skills Tracker
- Salaries of Data Scientists May 2018
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- Algorithms for Big Data Recurrent Neural Networks
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- A Simulation-Data-Based Machine Learning Model for Predicting Basic Parameter Settings of the Plasticizing Process in Injection Molding
- Artificial Neural Networks
- Autoencoder-Based Representation Learning to Predict Anomalies in Computer Networks
- Review of Deep Reinforcement Learning Algorithms
- One-Dimensional Convolutional Neural Network with Adaptive Moment Estimation for Modelling of the Sand Retention Test
- Deep Representation Learning Using Stacked Autoencoder for General Insurance Loss Reserving Insurance Data Science Conference ETH Zurich 14Th June 2019
- Data Science, Machine Learning, and AI in Libraries
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- Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics
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- 50 Years of Data Science
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- Reinforcement Learning to Optimize Long-Term User Engagement in Recommender Systems
- Artificial Intelligence with Tensorflow
- A SECOND-ORDER PERCEPTRON ALGORITHM 1. Introduction. Research in Linear-Threshold Classifiers Has Been Recently Re
- Deep Reinforcement Learning in Inventory Management
- Do Deep Nets Really Need to Be Deep?
- Fundamentals of Accelerated Data Science with RAPIDS
- Exposing Emerging Trends in Smart Sustainable City Research Using Deep Autoencoders-Based Fuzzy C-Means
- Lifecycle of Machine Learning Models 1
- A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
- Introduction to Reinforcement Learning (RL)
- Data Mining Vs Data Science
- Master of Science in Data Science
- Data Science AS DEGREE
- Real-World Data, Machine Learning and Causal Inference
- The Perceptron Algorithm CSE 446: Machine Learning Slides by Emily Fox (Mostly) Presented by Anna Karlin
- The Quant Crunch How the Demand for Data Science Skills Is Disrupting the Job Market
- Data Science