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How Genetic Algorithms and Machine Learning Apply to Investments

Smart Data Collective

Learn how genetic algorithms and machine learning can help hedge fund organizations manage a business. This article looks at how genetic algorithms (GA) and machine learning (ML) can help hedge fund organizations. Modern machine learning and back-testing; how quant hedge funds use it. Machine learning tests.

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The Role of Data Structures and Algorithms in Software Development

Smart Data Collective

Explore how data structures and algorithms power software development. Learn key concepts and best practices for efficient coding.

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New Advances in Graphic Design Software Are Predicated on Machine Learning Algorithms

Smart Data Collective

The more we learn about technology, the more we want to build it and use it across different platforms. These new advances are not only changing the way in which designers do their job, but they are also predicting trends and learning how to better design software itself. What Is A Learning Machine and How Does It Work?

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Swiss energy services company uses machine learning to see the future

CIO

The new platform would alleviate this dilemma by using machine learning (ML) algorithms, along with source data accessed by SAP’s Data Warehouse Cloud. The problem was that the smart meters were only feeding their data once a day. As a result, total load calculations were not being provided to the grid control center in time.

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Algorithmic Trading Communities Show the Benefits of AI

Smart Data Collective

Some use machine learning technology to create models that more accurately predict price movements. However, some have started using AI to automate many trading decisions with algorithmic trading. Algorithmic trading refers to a method of trading based on pre-programmed instructions fed to a computer. from 2022 to 2027.

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DirectX Visualization Optimizes Analytics Algorithmic Traders

Smart Data Collective

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

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Think you can ignore quantum computing? Think again.

CIO

In 1994, American mathematician Peter Shor developed quantum algorithms to factor integers and solve the discrete logarithm problem. When run on a big enough quantum computer, these algorithms will be able to crack all the public key crypto systems we rely on today for privacy. The impact will be felt globally.

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