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Automatic Financial Trading Agent for Low-risk Portfolio Management using Deep Reinforcement Learning
/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category/by Jieyun HuThis article focuses on autonomous trading agent to solve the capital market portfolio management problem. Researchers aim to achieve higher portfolio return while preferring lower-risk actions. It uses deep reinforcement learning Deep Q-Network (DQN) to train the agent.
Process Mining Camp 2022
/in Events/by Anne Rozinat & Christian W. GüntherPack your bags, get your provisions, and plan your trip — Just a few more weeks until we get together at this year’s Process Mining Camp on Thursday, 23 June in Eindhoven, the Netherlands.
How Do Various Actor-Critic Based Deep Reinforcement Learning Algorithms Perform on Stock Trading?
/in Artificial Intelligence, Deep Learning, Machine Learning, Main Category, Use Case, Use Cases/by Zhuotian TangDeep Reinforcement Learning (DRL) is a blooming field famous for addressing a wide scope of complex decision-making tasks. This article would introduce and summarize the paper “Deep Reinforcement Learning for Automated Stock Trading.
Generative Adversarial Networks
/in Artificial Intelligence, Data Mining, Deep Learning, Machine Learning, Main Category/by Sunil YadavAfter Deep Autoregressive Models, Deep Generative Modelling and Variational Autoencoders we now continue the discussion with Generative Adversarial Networks (GANs).
CCNA vs. CCNP vs. CCIE Security Certification
/in Certification / Training, Data Security, Education / Certification/by Shannon FlynnLearn more about Cisco certifications and learn the difference between CCNA, CCNP and CCIE certifications to help you choose which path is right for you.
How to maintain product quality with deep learning
/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category, Use Case, Use Cases/by Benjamin AunkoferDeep Learning helps companies to automate operative processes in many areas. Industrial companies in particular also benefit from product quality assurance. Computer Vision enables automation to identify scratches and cracks on product item surfaces.
Understanding Linear Regression with all Statistical Terms
/in Data Science, Main Category/by M.Nithya LakshmiLinear Regression Model – This article is about understanding the linear regression with all the statistical terms. What is Regression Analysis? regression is an attempt to determine the relationship between […]
Variational Autoencoders
/in Artificial Intelligence, Data Science, Deep Learning, Machine Learning, Main Category, Use Cases/by Sunil Yadavariational autoencoders (VAEs) are a deep learning method to produce synthetic data (images, texts) by learning the latent representations of the training data. AGMs are sequential models and generate data based on previous data points by defining tractable conditionals.
Key Points on AI’s Role In The Future Of Data Protection
/in Artificial Intelligence, Data Security/by Lydia IsehBecause AI can do a lot more than just collect and analyze data — it can also protect it. In this article, we’ll explain what the role of Artificial Intelligence is in the future of data protection.
Air Quality Forecasting Python Project
/in Data Mining, Data Science, Python, Use Cases/by Shivani PadayaThis project forecast the Carbon Dioxide(Co2) emission levels yearly. Most of the organizations have to follow government norms with respect to Co2 emissions and they have to pay charges accordingly, so this project will forecast the Co2 levels so that organizations can follow the norms and pay in advance based on the forecasted values.