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Top 5 data mining technique in Machine Learning (ML)

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Data mining is a popular term used by machine learning developers. The technique refers to extracting meaningful information from the massive dataset. For the aspiring data scientists, it is important to be familiar with data mining techniques. Here are the top data mining techniques that are used by Data Science and Machine Learning experts. Association rule learning is a standard rule-based ML technique used to discover the relationship between variables in datasets.


Microsoft And Shell Announce New Partnership To Use Artificial Intelligence And Tech To Reduce Carbon Emissions

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Tackling carbon emissions is one of the biggest challenges faced by the world today. For big business, this means making a strategic and managed move towards increasing the use of renewable energy sources, as well as creating efficiencies across all aspects of their operations. It's a difficult task to manage alone, even for an enterprise on the scale of tech giant Microsoft or energy titan Shell. But working together creates new possibilities that go further than what it is likely they could accomplish individually. Beyond meeting their own zero-carbon commitments, there's the opportunity to help other companies within their vast ecosystems of customers and suppliers to meet their environmental and safety goals, too.


Microsoft And Shell Announce New Partnership To Use Artificial Intelligence And Tech To Reduce Carbon Emissions

#artificialintelligence

Tackling carbon emissions is one of the biggest challenges faced by the world today. For big business, this means making a strategic and managed move towards increasing the use of renewable energy sources, as well as creating efficiencies across all aspects of their operations. It's a difficult task to manage alone, even for an enterprise on the scale of tech giant Microsoft or energy titan Shell. But working together creates new possibilities that go further than what it is likely they could accomplish individually. Beyond meeting their own zero-carbon commitments, there's the opportunity to help other companies within their vast ecosystems of customers and suppliers to meet their environmental and safety goals, too.


HS2 tests new AI technology to trim carbon emissions

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The UK's HS2 has trialled a new artificial intelligence-based carbon and cost estimating solution to decrease carbon emissions. The technology was trialled at several HS2 locations managed by the Skanska Costain STRABAG joint venture. The solution helps in automating building information model (BIM) processes. It enables simulating multiple design options using different combinations and types of construction materials. The process helps in measuring and comparing the environmental impacts and carbon emissions for each simulation and accordingly design a cost-effective and environmentally friendly construction model.


Deep Learning in Clojure with Fewer Parentheses than Keras and Python

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New books are available for subscription. Deep Diamond() is a new Deep Learning library written in Clojure. Its goal is to be simple, superfast, and to support both CPU and GPU computing. But it's Clojure, you might say. Python is supported by Google and Facebook.


GoldSpot Discoveries Corp. to Apply Machine Learning on Cerrado Gold Inc.'s Minera Don Nicolas Project

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Toronto, Ontario--(Newsfile Corp. - September 16, 2020) - GoldSpot Discoveries Corp. (TSXV: SPOT) (the "Company" or "GoldSpot") has been engaged by Cerrado Gold Inc. ("Cerrado") to apply machine learning and its proprietary data science expertise to identify new exploration targets on Cerrado's Minera Don Nicolas (MDN) project, located in Santa Cruz, Argentina. In its analysis, GoldSpot will work with Cerrado's technical team to integrate and analyze geological and remote sensing data available in the area. The process will explore the potential for gold mineralization within the MDN properties, to produce GoldSpot Smart Targets which fuse geoscience knowledge with data science insights. "Minera Don Nicolas is in the mineral and data rich Deseado Massif, an area where GoldSpot is having significant success, particularly at Yamana Gold's Cerro Moro project. MDN has robust property-wide datasets and we look forward to supporting Cerrado's technical team and advancing exploration efforts. The project has significant potential with a land package of more than 273,000 hectares," stated Denis Laviolette, Executive Chairman and President of GoldSpot Discoveries.


Top 8 Data Mining Techniques In Machine Learning

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Data mining is considered to be one of the popular terms of machine learning as it extracts meaningful information from the large pile of datasets and is used for decision-making tasks. It is a technique to identify patterns in a pre-built database and is used quite extensively by organisations as well as academia. The various aspects of data mining include data cleaning, data integration, data transformation, data discretisation, pattern evaluation and more. Below, we have listed the top eight data mining techniques in machine learning that is most used by data scientists. Association Rule Learning is one of the unsupervised data mining techniques in which an item set is defined as a collection of one or more items.


Artificial Intelligence used to create new aluminum alloys – IAM Network

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Scientists in Japan have developed a machine learning approach that predicts the elements and manufacturing processes needed to obtain an aluminum alloy with specific, desired mechanical properties. The approach, published in the journal Science and Technology of Advanced Materials, could facilitate the discovery of new materials.Aluminum alloys contain elements such as magnesium, manganese, silicon, zinc, and copper. The combination of these elements and the manufacturing process determines how resilient the alloys are to various stresses. For example, 5000 series aluminum alloys contain magnesium and several other elements and are used as a welding material in buildings, cars, and pressurized vessels. The 7000 series aluminum alloys, which contain zinc and usually magnesium and copper, are most commonly used in bicycle frames.Experimenting with various combinations of elements and manufacturing processes to fabricate aluminum alloys is time-consuming and expensive.


Top 5 Gold Mines of Data Science and Machine Learning Resources

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Are you a data science and machine learning enthusiast who wants to create a data science learning plan with important checkpoints/milestones? If yes then this GitHub repo is for you.


LCC Asia Pacific Releases Paper On Artificial Intelligence In The Mineral Processing Industry

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… Asia Pacific has released a whitepaper on the emerging use of artificial intelligence & machine learning technology in the mineral processing sector.