data mining


Top Artificial Intelligence and Machine Learning Companies 2018

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The following top AI development companies are playing a role in machine learning, AI software, deep learning and regular AI projects. I have mentioned best artificial intelligence companies those have invested significantly in artificial intelligence. List your AI Development Company to get quality leads. Please find a list of "Top Artificial Intelligence": Unicsoft is a trusted Blockchain, Data Science consulting and software development partner for technology companies. We are 12 years in the international IT-market.



AI and Blockchain Will Transform Sports Betting for Good Tech Talk

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Bettium is a global decentralized platform enabling users to bet on sporting events against each other, each using big data and established experts to improve forecasts and strategy. Bettium provides direct access to AI, Big Data and powerful analytical tools to help the bet-tor make smart conclusions and smart bets against peers. I started following the blockchain industry in 2015 and immediately recognized the disruptive potential of the technology. This movement has many similarities to the dotcom boom of the 1990s and early 2000s -- a technology that changed the world in ways that could not even be conceived 10 years earlier. Similar to the dotcom, we are seeing explosive growth that will likely be followed by a temporary downturn, eventually shifting to an upturn again, synthesizing the blockchain industry into a stable market as the technology becomes firmly integrated into everyday lives.


Going beyond the hype: How AI can be used to make a difference - eCampus News

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Reference to artificial intelligence (AI) has become strategic in higher-ed discourse, joining the terms "big data" and "predictive modeling." When I was introduced to AI in 2013 by a member of our design team, it captivated my imagination. Since then, as our data grew to proportions that were ripe for AI, I've become enthralled by its potential to enrich the accuracy and personalization that leads to better outcomes. That does not make me an expert. If anything, it could make me equal to all out there who have wondered what these terms actually mean, how they matter to education, and where to draw the line between hype and results.


Innovations in Artificial intelligence, Machine Learning, Cloud, and Blockchain

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This edition of ITCC TOE provides a snapshot of the emerging ICT led innovations in machine learning, blockchain, cloud computing, and artificial intelligence. This issue focuses on the application of information and communication technologies in alleviating the challenges faced across industry sectors in areas such as brick & mortar retail, e-commerce, data labelling, 5G, photo and video editing, manufacturing, talent and business intelligence, amongst others. ITCC TechVision Opportunity Engine (TOE)'s mission is to investigate emerging wireless communication and computing technology areas including 3G, 4G, Wi-Fi, Bluetooth, Big Data, cloud computing, augmented reality, virtual reality, artificial intelligence, virtualization and the Internet of Things and their new applications; unearth new products and service offerings; highlight trends in the wireless networking, data management and computing spaces; provide updates on technology funding; evaluate intellectual property; follow technology transfer and solution deployment/integration; track development of standards and software; and report on legislative and policy issues and many more. The Information & Communication Technology cluster provides global industry analysis, technology competitive analysis, and insights into game-changing technologies in the wireless communication and computing space. Innovations in ICT have deeply permeated various applications and markets.


Statistics for Data Science Udemy

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Do you wish to be a data scientist but don't know where to begin? Want to implement statistics for data science? Want to get acquainted with R programs? Want to learn about the logic involved in computing statistics? If so, then this is the course for you.


Cloudera announces new machine learning products for data teams

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Software company Cloudera today announced a slew of machine learning product updates at the Strata Data London conference: Cloudera Data Science Workbench 1.4, Cloudera Altus Data Engineering on Microsoft Azure, and Cloudera Enterprise 6.0. All three are focused on facilitating collaboration among data teams, CEO Tom Reilly said. "We believe data can make what is impossible today possible tomorrow. With enhanced capabilities in machine learning, analytics, and cloud, the new software products and cloud services we are announcing will enable our customers to more rapidly gain competitive advantages in the data economy," Reilly said in a statement. "These enhancements demonstrate Cloudera's commitment to market-leading innovations that empower enterprises to securely transform complex data into clear and actionable insights to propel their digital transformation."


Differences between Data Mining and Predictive Analytics

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Data mining is an integrated application in the Data Warehouse and describes a systematic process for pattern recognition in large data sets to identify conclusions and relationships. Using statistical methods, or genetic algorithms, data files can be automatically searched for statistical anomalies, patterns or rules. Wikipedia defines Data Mining as "Data mining is an interdisciplinary subfield of computer science. It is the computational process of discovering patterns in large data sets involving methods at the intersection of artificial intelligence, machine learning, statistics, and database systems. The overall goal of the data mining process is to extract information from a data set and transform it into an understandable structure for further use."


7 Machine Learning Best Practices

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Netflix's famous algorithm challenge awarded a million dollars to the best algorithm for predicting user ratings for films. But did you know that the winning algorithm was never implemented into a functional model? Netflix reported that the results of the algorithm just didn't seem to justify the engineering effort needed to bring them to a production environment. At your company, you can create the most elegant machine learning model anyone has ever seen. It just won't matter if you never deploy and operationalize it.


Seize the challenge of Big Data and AI, says Tata boss

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Europe is ahead in the digital game, says Tata's Consultancy Services COO. But businesses and governments will need to utilise Big Data and Artificial Intelligence to improve services and the quality of life of customers. N. Ganapathy Subramaniam is the Chief Operating Officer of Tata Consultancy Services (TCS), an Indian multinational IT service, consulting and business solutions company headquartered in Mumbai. He spoke to EURACTIV's Alexandra Brzozowski on the sidelines of the European Business Summit in Brussels. How could digital economy improve business and public-sector performance?