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Predictive analytics statistical techniques include data modeling, machine learning, AI, deep learning algorithms and data mining. Often the unknown event of interest is in the future, but predictive analytics can be applied to any type of unknown whether it be in the past, present or future.
MLOps or ML Ops is a paradigm that aims to deploy and maintain machine learning models in production reliably and efficiently. The word is a compound of "machine learning" and the continuous delivery practice (CI/CD) of DevOps in the software field. Machine learning models are tested and developed in isolated experimental systems.
Proximal policy optimization (PPO) is a reinforcement learning (RL) algorithm for training an intelligent agent.Specifically, it is a policy gradient method, often used for deep RL when the policy network is very large.
Portfolio optimization is the process of selecting an optimal portfolio (asset distribution), out of a set of considered portfolios, according to some objective.The objective typically maximizes factors such as expected return, and minimizes costs like financial risk, resulting in a multi-objective optimization problem.
Project portfolio management (PPM) is the centralized management of the processes, methods, and technologies used by project managers and project management offices (PMOs) to analyze and collectively manage current or proposed projects based on numerous key characteristics.
Palo Alto uses machine learning to ingest all the relevant data across multiple security tools and make a decision to protect the system without causing undue downtime for its customers. As a ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
Image source: The Motley Fool. Varonis Systems (NASDAQ: VRNS) Q4 2024 Earnings Call Feb 04, 2025, 4:30 p.m. ET. Contents: Prepared Remarks. Questions and Answers. Call Participants