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Can Tech Help Fight Counterfeiting?

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echnology has made it easier than ever to produce and sell counterfeit merchandise. There was a time when the only way to buy counterfeit...

Principal component analysis (PCA) using R

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Principal component analysis (PCA) is a statistical analysis technique that uses an orthogonal transformation to convert a set of observations of possibly correlated variables...

List Of Data Science Facebook Groups To Join in 2019

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Here is the list of Facebook groups to join for Big Data/ Data Science International Data Science Study GroupData Science WorldArtificial Intelligence | Data Science...

Hierarchical clustering using R

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Hierarchical clustering, also known as hierarchical cluster analysis, is an algorithm that clusters similar data points into groups called clusters. The endpoint is a...

AI And The Streamlined Supply Chain

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Amazon delivers 1.6 million packages per day, and it may seem that other retailers don’t stand a chance. Bad deliveries drive customers away —...

R k-means clustering and evaluation of the model

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The k-means clustering algorithms aim at partitioning n observations into a fixed number of k clusters. The algorithm will find homogeneous clusters. It works...
Artificial Intelligence Trends

How reinforcement learning can help in solving real-world problems?

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Reinforcement Learning is a machine learning framework that enables an agent to evaluate the current environment, take optimal action, and get feedback from the...

Berkeley using a new deep learning program to assess risk of...

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Identifying patterns of risk within patients often involves a massive amount of data interpretation and algorithmic examination. New computer resources through Berkeley are today...

Neural Networks: Advantages and Applications

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A human brain is not capable of solving complex data and cannot extract information from compound structures. To overcome this lack of ability to...

Harnessing curiosity in Reinforcement Learning

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Reinforcement learning is a specialized area of artificial intelligence where an algorithm applies independent and goal-oriented learning, based on rewards received from an environment....