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The AI continuum

CIO

Classical machine learning: Patterns, predictions, and decisions Classical machine learning is the proven backbone of pattern recognition, business intelligence, and rules-based decision-making; it produces explainable results. Learn more. Pick the right AI for your needs.

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Sport analytics leverage AI and ML to improve the game

CIO

Computer vision, AI, and machine learning (ML) all now play a role. Risk Mitigation Modeling can then be used to analyze training data and determine a player’s ideal training volume while minimizing injury risk. Souza’s advice: Cultivate curiosity. Capel-Davies’ advice: Focus on communication.

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What Do CIOs Have To Know About Business Intelligence?

The Accidental Successful CIO

CIOs need to understand how to make use of new business intelligence tools Image Credit: deepak pal. Modern CIOs need to understand that Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an company’s strategic and tactical business decisions.

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How to hire a data scientist

Hacker Earth Developers Blog

An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming. Supervised Learning and Unsupervised Learning. Business /Domain Knowledge. Mathematics and Statistics . Boosting and Bagging.

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Making AI Work in Legal Tech: Balancing Cost and Performance

Invid Group

The willingness to explore new tools like large language models (LLM), machine learning (ML) models, and natural language processing (NLP) is opening unthinkable possibilities to improve processes, reduce operational costs, or simply innovate [2].

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How to hire a data scientist

Hacker Earth Developers Blog

An ideal candidate has skills in the 3 fields: mathematics/ statistics/ machine learning/ programming and business/ domain knowledge. . Machine Learning and Programming. Supervised Learning and Unsupervised Learning. Business /Domain Knowledge. Mathematics and Statistics . Boosting and Bagging.

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Improve LLM performance with human and AI feedback on Amazon SageMaker for Amazon Engineering

AWS Machine Learning - AI

In this post, we share how we analyzed the feedback data and identified limitations of accuracy and hallucinations RAG provided, and used the human evaluation score to train the model through reinforcement learning. To increase training samples for better learning, we also used another LLM to generate feedback scores.