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Introduction to Machine Learning / Data Mining

@machinelearnbot

Well, there is a little bit difference between machine learning and data mining although I don't see any difference between them. See the Stackexchange debate on the difference between machine learning and data mining. At the end, it is about training the machine to recognize the data, and the predict the future (or unknown variables) with the training. Please, feel free to challenge me if I am wrong. I have been in search for the better explanation.


Machine Learning and Data Mining Books - A Baker's Dozen for Data Scientists

@machinelearnbot

Here are 13 books on Machine Learning and Data Mining that are great resources, references, and refreshers for Data Scientists. Ensemble Methods in Data Mining: Improving Accuracy Through Combini..., by Giovanni Seni and John Elder (Older Edition is also available)


SAS Visual Data Mining and Machine Learning: Getting Started

@machinelearnbot

SAS Visual Data Mining and Machine Learning is designed for data scientists, statisticians and advanced business analysts. Whether you want to program or point and click, it provides innovative algorithms and fast, in-memory processing. For new users, this session will cover what it is, the value provided and an overview of the capabilities. The presentation and accompanying demonstration will offer a view into components of SAS Visual Data Mining and Machine Learning.


Introduction to Machine Learning / Data Mining

#artificialintelligence

Well, there is a little bit difference between machine learning and data mining although I don't see any difference between them. See the Stackexchange debate on the difference between machine learning and data mining. At the end, it is about training the machine to recognize the data, and the predict the future (or unknown variables) with the training. Please, feel free to challenge me if I am wrong. I have been in search for the better explanation.


Digging Deep: How Artificial Intelligence Can Revolutionize Mining

#artificialintelligence

The deployment of artificial intelligence (AI) in mining is enabling companies to improve their efficiency and productivity, which is crucial to their profitability. The mining industry is pivotal to the world's economy. The mining industry's top companies had a total revenue of approximately 683 billion U.S. dollars in 2018. Implementation of AI in mining activities can help push the industry even further forward by reducing the operating costs and simplifying the mining processes. A majority of mining companies still depend on traditional mining practices.