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MachineLearning

Showing 19-26 of 26 results
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The Rise Of Automated Trading: Machines Trading the S&P 500

by Andrea Nalon

More than 60 percent of trading activities with different assets rely on automated trading and machine learning instead of human traders. Today, specialized programs based on particular algorithms and learned patterns automatically buy and sell assets in various markets, with a goal to achieve a positive return in the long run. In this article, Toptal Freelance Data Scientist Andrea Nalon explains how to predict, using machine learning and Python, which trade should be made next on the S&P 500 to get a positive gain.

22 minute readContinue Reading
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Clustering Algorithms: From Start To State Of The Art

by Lovro Iliassich

Clustering algorithms are very important to unsupervised learning and are key elements of machine learning in general. These algorithms give meaning to data that are not labelled and help find structure in chaos. But not all clustering algorithms are created equal; each has its own pros and cons. In this article, Toptal Freelance Software Engineer Lovro Iliassich explores a heap of clustering algorithms, from the well known K-Means algorithm to the elegant, state-of-the-art Affinity Propagation technique.

11 minute readContinue Reading
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Tree Kernels: Quantifying Similarity Among Tree-Structured Data

by Dino Causevic

Today, a massive amount of data is available in the form of networks or graphs. For example, the World Wide Web, with its web pages and hyperlinks, social networks, semantic networks, biological networks, citation networks for scientific literature, and so on. A tree is a special type of graph, and is naturally suited to represent many types of data. The analysis of trees is an important field in computer and data science. In this article, we will look at the analysis of the link structure in trees. In particular, we will focus on tree kernels, a method for comparing tree graphs to each other, allowing us to get quantifiable measurements of their similarities or differences. This an important process for many modern applications such as classification and data analysis.

12 minute readContinue Reading
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Ensemble Methods: Elegant Techniques to Produce Improved Machine Learning Results

by Necati Demir, PhD

Machine Learning, in computing, is where art meets science. Perfecting a machine learning tool is a lot about understanding data and choosing the right algorithm. But why choose one algorithm when you can choose many and make them all work to achieve one thing: improved results. In this article, Toptal Engineer Necati Demir walks us through some elegant techniques of ensemble methods where a combination of data splits and multiple algorithms is used to produce machine learning results with higher accuracy.

6 minute readContinue Reading
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OpenCV Tutorial: Real-time Object Detection Using MSER in iOS

by Altaibayar Tseveenbayar

Detecting objects of interest in images has always been an interesting challenge in the realm of computer vision, and many approaches have been developed over recent years. As mobile platforms are becoming increasingly powerful, now is the perfect opportunity to develop interesting mobile applications that take advantages of these algorithms. This article walks us through the process of building a simple iOS application for detecting objects in images.

8 minute readContinue Reading
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Azure Tutorial: Predicting Gas Prices Using Azure Machine Learning Studio

by Ivan Matec

Machine learning has changed the way we deal with data. Data driven problems, that are difficult to solve using standard methods, can often be tackled with much more ease using machine learning algorithms. In this article, we will explore Azure Machine Learning features and capabilities through solving one of the problems that we face in our everyday lives.

5 minute readContinue Reading
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An Introduction to Machine Learning Theory and Its Applications: A Visual Tutorial with Examples

by Nick McCrea

This Machine Learning tutorial introduces the basics of ML theory, laying down the common themes and concepts, making it easy to follow the logic and get comfortable with the topic.

15 minute readContinue Reading
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A Deep Learning Tutorial: From Perceptrons to Deep Networks

by Ivan Vasilev

The recent resurgence in Artificial Intelligence has been powered in no small part by a new trend in machine learning, known as "Deep Learning". In this article, I'll introduce you to the key concepts and algorithms behind Deep Learning, beginning with the simplest building block.

21 minute readContinue Reading

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