Remove price mask-network
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Portfolio optimization through multidimensional action optimization using Amazon SageMaker RL

AWS Machine Learning Blog

Action masking is an approach to solve RL problems that involve inadmissibility constraints in a sample efficient manner. As the name suggests, it involves masking any inadmissible actions by setting their sampling probability to zero. The following figure depicts the RL cycle with action masking. self.tvec+4*np.cos(2*math.pi*self.tvec/16)

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VPNs Are Essential Data Protection Tools for Home Offices

Smart Data Collective

One way that you can achieve this is through the use of a so-called VPN (virtual private network). VPNs typically use secure SSL/TLS encryption protocols, which effectively routes all data through a virtual tunnel that masks both the nature of the content and your unique IP address. Let’s find out! #1. VPNs Help to Secure Your Data.

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Amazon EC2 DL2q instance for cost-efficient, high-performance AI inference is now generally available

AWS Machine Learning Blog

Each DL2q instance has 96 vCPUs, a system memory capacity of 768 GB and supports a networking bandwidth of 100 Gbps as well as Amazon Elastic Block Store (Amazon EBS) storage of 19 Gbps. The cores are interconnected with a high-bandwidth low-latency network-on-chip (NoC) mesh. sentence = "The dog [MASK] on the mat."

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Google Report Shows Android Users Need VPNs for Data Privacy

Smart Data Collective

A VPN Can Help Protect Your Android Data A Virtual Private Network (VPN) is a service that allows users to connect to the internet through a secure and private network. Using a VPN on an Android device is particularly important due to the vulnerabilities of the Android operating system and the increased use of public Wi-Fi networks.

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How ChatGPT actually works

AssemblyAI

For example, a model designed to predict stock market prices might have an objective function that measures the accuracy of the model's predictions. If the model is able to accurately predict the movement of stock prices over time, it would be considered to have a high level of capability for this task.

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Has Machine Learning Made Cryptocurrencies Traceable?

Smart Data Collective

Machine learning is being used to predict price patterns more easily. It’s professed as an anonymous payment network and possibly the most transparent. This can happen when you’re using public networks like social media. Most crypto networks are peer-to-peer; thus, it’s possible to log IP addresses.

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SF Event Recommender using LLMs

Mlearning.ai

def generate_prompt(event): prompt = """Extract information from the event below and store it into a JSON with the following structure {venue: venue_name, date: date_and_time, age: age_requirement, price: price, location: address}""" + ' and enclose each key and value in the JSON structure with double quotes.'