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Global Big Data Conference

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The machine learning and AI-powered tools being deployed in response to COVID-19 arguably improve certain human activities and provide essential insights needed to make certain personal or professional decisions; however, they also highlight a few pervasive challenges faced by both machines and the humans that create them. Nevertheless, the progress seen in AI/machine learning leading up to and during the COVID-19 pandemic cannot be ignored. This global economic and public health crisis brings with it a unique opportunity for updates and innovation in modeling, so long as certain underlying principles are followed. Here are four industry truths (note: this is not an exhaustive list) my colleagues and I have found that matter in any design climate, but especially during a global pandemic climate. When a big group of people is collectively working on a problem, success may become more likely.


Artificial Intelligence in Medical Imaging Market Seeking Excellent Growth

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Global Big Data Conference

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How to pick a cloud machine learning platform? To create an effective machine learning and deep learning model, you need more data, a way to clean the data and perform feature engineering on it. It is also a way to train models on your data in a reasonable amount of time. After that, you need a way to install your models, surveil them for drift over time, and retrain them as required. If you have invested in compute resources and accelerators such as GPUs, you can do all of that on-premises.


Global Big Data Conference

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For several years, there has been a lot of discussion around AI's capabilities. Many believe that AI will outperform humans in solving certain areas. As the technology is in its infancy, researchers are expecting human-like autonomous systems in the next coming years. OpenAI has a leading stance in the artificial intelligence research space. Founded in December 2015, the company's goal is to advance digital intelligence in a way that can benefit humanity as a whole.


Global Big Data Conference

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Though banks don't create AI strategies, they are increasingly using artificial intelligence and machine learning in their day-to-day business. We frequently work with them on ideation workshops, PoC, and solution implementation. Santander Consumer Bank, for example, is running workshops and researching how to use machine learning to boost the sustainability of loan portfolios. Besides credit risk modeling, there is already an impressive range of use cases for AI in banking. It covers everything, from customer service to back-office operations.


iiot bigdata_2020-09-25_03-17-11.xlsx

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The graph represents a network of 1,276 Twitter users whose tweets in the requested range contained "iiot bigdata", or who were replied to or mentioned in those tweets. The network was obtained from the NodeXL Graph Server on Friday, 25 September 2020 at 10:21 UTC. The requested start date was Friday, 25 September 2020 at 00:01 UTC and the maximum number of tweets (going backward in time) was 7,500. The tweets in the network were tweeted over the 1-day, 17-hour, 36-minute period from Wednesday, 23 September 2020 at 06:09 UTC to Thursday, 24 September 2020 at 23:45 UTC. Additional tweets that were mentioned in this data set were also collected from prior time periods.


14 open source tools to make the most of machine learning

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Spam filtering, face recognition, recommendation engines -- when you have a large data set on which you'd like to perform predictive analysis or pattern recognition, machine learning is the way to go. The proliferation of free open source software has made machine learning easier to implement both on single machines and at scale, and in most popular programming languages. These open source tools include libraries for the likes of Python, R, C, Java, Scala, Clojure, JavaScript, and Go. Apache Mahout provides a way to build environments for hosting machine learning applications that can be scaled quickly and efficiently to meet demand. Mahout works mainly with another well-known Apache project, Spark, and was originally devised to work with Hadoop for the sake of running distributed applications, but has been extended to work with other distributed back ends like Flink and H2O. Mahout uses a domain specific language in Scala.


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.


Here are "Data Science" Ivy League courses you can take online right now for free

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The 8 Ivy League schools are among the most prestigious colleges in the world. They include Brown, Harvard, Cornell, Princeton, Dartmouth, Yale, and Columbia universities, and the University of Pennsylvania. All eight schools place in the top fifteen of the U.S. News and World Report national university rankings. These Ivy League schools are also highly selective and extremely hard to get into. But the good news is that all these universities now offer free online courses across multiple online course platforms.


How AI can impact and transform business IT operations

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AI can impact and transform business IT operations. The technology has never been more useful as IT teams look to enable mass remote working during the Covid-19 pandemic. Nick McQuire, SVP, Enterprise Research at CCS Insight, explains that "the area of IT Helpdesk support has become a big use case for AI especially in the context of remote IT operations during the pandemic and we have seen the domain become a big focus for the likes of IBM recently with the launch of Watson AIOps, for example." Generally, he points out that AI can help business IT operations quickly diagnose problems and handle support tickets through greater automation. In some cases, "IT is also able to proactively fix problems based on predicting when an issue will arise," McQuire adds. Dr Iain Brown, head of data science at SAS UK & Ireland, says that it is "no understatement to say that AI can revolutionise business IT operations.