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CART (Classification And Regression Tree) in Machine Learning - GeeksforGeeks

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CART( Classification And Regression Tree) is a variation of the decision tree algorithm. It can handle both classification and regression tasks. Scikit-Learn uses the Classification And Regression Tree (CART) algorithm to train Decision Trees (also called "growing" trees). CART was first produced by Leo Breiman, Jerome Friedman, Richard Olshen, and Charles Stone in 1984. CART is a predictive algorithm used in Machine learning and it explains how the target variable's values can be predicted based on other matters.


insideBIGDATA Latest News – 9/26/2022 - insideBIGDATA

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In this regular column, we'll bring you all the latest industry news centered around our main topics of focus: big data, data science, machine learning, AI, and deep learning. Our industry is constantly accelerating with new products and services being announced everyday. Fortunately, we're in close touch with vendors from this vast ecosystem, so we're in a unique position to inform you about all that's new and exciting. Our massive industry database is growing all the time so stay tuned for the latest news items describing technology that may make you and your organization more competitive. Deci, the deep learning company harnessing AI to build AI, announced a new set of industry-leading semantic segmentation models, dubbed DeciSeg. Deci's proprietary Automated Neural Architecture Construction (AutoNAC) technology automatically generated semantic segmentation models that significantly outperform the most powerful models publicly available, such as the MobileViT released by Apple, and the DeepLab family released by Google. Deci's models deliver more than 2x lower latency, as well as 3-7% higher accuracy.


LootMogul, Sports Metaverse Announces First Naming Rights Deal to Hoop Culture

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LootMogul announced that an agreement has been made for Hoop Culture Inc. to acquire the naming rights for the Metaverse Arena in Orlando. The terms of the deal also include an agreement for Hoop Culture to place five retail/experiential stores in five Arenas within the LootMogul Metaverse. "We have been receiving a high number of inquiries for naming rights in our Sports Metaverse, and penning this agreement with Hoop Culture, one of the fastest growing apparel brands, is phenomenal. Our goal is to onboard all major brands in our sports metaverse, convert their web 2 consumers to web 3 and vice-versa; essentially create a whole new revenue stream in the metaverse for all brands," stated Raj Rajkotia, LootMogul CEO. "To obtain the naming rights for the Orlando Arena is a tremendous day in the continued growth of Hoop Culture," said Mike Brown, President of Hoop Culture.


Visionet's AtClose Title Production System Introduces New Consumer Portal

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Visionet Systems, the leader of digitally enabled solutions that innovate, design, and deliver products and services in the cloud, announced that its AtClose title production system has launched a new consumer portal aimed at empowering title companies to deliver an exceptional client experience by significantly reducing the closing time. "AtClose is proven to successfully enhance the internal processes for title companies to enable faster closings and improved partner communications," said Adeel Ahmad, Senior Vice President and Head of AtClose at Visionet Systems. "We're now harnessing that success by launching a portal that benefits the consumer. The primary purpose of this portal is to ensure seamless communication between all parties involved and to keep them updated on the status of applications and other documents so that closings can be executed faster, and borrowers have an enhanced experience." The new consumer portal enables real-time collaboration and visibility between the borrower and all major parties involved in the transaction, resulting in a faster, more seamless closing experience.


mPhase Names Machine Learning Expert Charles Martin to Advisory Board

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The board will consist of independent advisors with specific skills and contacts in areas of importance for the ongoing development of the mPower suite of mobility services. AI and ML News: Why SMBs Shouldn't Be Afraid of Artificial Intelligence (AI) Charles Martin is considered a leading figure across multiple technology disciplines, with an established track record in machine learning, deep learning, data science, and AI software development, complemented by extensive domain experience in Natural Language Processing (NLP) for Search Relevance (as well as Text Generation and Quantitative Finance). Highly sought after in the software development field, he has personally developed and implemented machine learning (ML) systems at companies including Roche, France Telecom, GoDaddy, Aardvark (Google), eBay, eHow, Walmart, Barclays/BGI, and Blackrock. Much of his recent project work has been done under his advisory firm, Calculation Consulting, which he founded in 2010 to provide data science, machine learning, and deep learning solutions. He has also served as both a consultant and FTE distinguished engineer at GLG, a prestigious international consulting firm, where he developed AI methods for the search and recommendations platform.


Ikon Science Offers New Machine Learning Tools, Powerful User Experience With Major RokDoc Update

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Ikon Science, a global provider of knowledge management solutions designed to optimize subsurface discovery, announced the release of RokDoc Version 2022.4., an industry-leading geoprediction software. As global energy demand continues to grow and drilling activities increase to meet this challenge, subsurface teams in E&P companies are challenged to deliver key reservoir insights faster and more efficiently than before. To meet this challenge, the latest version of RokDoc introduces new functionality and automation of QC and knowledge generation workflows. The quantitative analysis workflow used to characterize reservoirs has been significantly improved by adding several user enhancements to streamline and speed-up results. Additionally, we are pleased to announce the release of the Rock Physics Machine Learning (RPML) tool, a technical collaboration with Australia's national science agency, CSIRO, as an addition to our already powerful Deep QI module.


OnTerra Systems Announces Enhancements To New RouteSavvy Online & RouteSavvy Mobile App

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OnTerra Systems the developers of RouteSavvy automated route planning software introduced enhanced versions of RouteSavvy routing software and the RouteSavvy mobile app. RouteSavvy is cloud-based route planning software that generates more efficient routes for deliveries, pick-ups, service calls & sales calls. More efficient routes can be generated based on shortest drive time, shortest distance (the least miles driven), routes that avoid highways, and routes that avoid toll roads. "This latest release of RouteSavvy route planning software and its mobile app further refine the RouteSavvy user experience, with a strong focus on streamlined delivery management & service management functions," said Steve Milroy, OnTerra Systems president. "Software development is a dynamic function, with the RouteSavvy development team continually working to refine and enhance functionality, ease of use, and more."


KAUST Selects HPE to Build the Middle East's Most Powerful Supercomputer

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Hewlett Packard Enterprise announced that King Abdullah University of Science and Technology (KAUST) selected HPE to build its next-generation supercomputer, Shaheen III, to deliver state-of-the-art supercomputing and artificial intelligence (AI) capabilities for advancing research in fields such as food, water, energy and the environment. "Powered by AMD EPYC processors, Shaheen III will enable new discoveries that will have regional and global impacts across climate, clean energy and tectonic plate modeling, all made possible by the collaboration between KAUST scientists and HPE." Supercomputing capacity has become increasingly vital to global innovation, industry competitiveness and economic growth. From accelerating vaccine discovery to fight a pandemic, advancing clean energy systems to increase sustainability, to enabling new possibilities in AI, supercomputing is a core technology to solving the world's most challenging scientific and engineering problems. Shaheen III, set to be 20 times faster than KAUST's existing system, will be the most powerful supercomputer in the Middle East to address critical areas that have a societal and environmental impact. Built by HPE, the world's leading supercomputer provider, the new Shaheen III system will revolutionize KAUST's ability to process vast amounts of data at immense speed and scale, enabling its users to unlock discoveries that it could not have before, and realize new potentials for AI.


Leopards don't play chess.

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When we are talking about consciousness, we must understand one thing. Almost all animals in the world have consciousness. That means things like leopards are defending themselves and their descendants if they are under attack. Those animals hunt for eating, but when we are looking at that thing more carefully, we can notice that those cats are making all things in the same way. Reflexes are the things that are automatized actions.


Machine Learning: Learn By Building Web Apps in Python

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Machine learning is a branch of artificial intelligence (AI) focused on building applications that learn from data and improve their accuracy over time without being programmed to do so. In data science, an algorithm is a sequence of statistical processing steps. In machine learning, algorithms are'trained' to find patterns and features in massive amounts of data in order to make decisions and predictions based on new data. The better the algorithm, the more accurate the decisions and predictions will become as it processes more data. Machine learning has led to some amazing results, like being able to analyze medical images and predict diseases on-par with human experts.