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The amazing predictive power of conditional probability in Bayes Nets

@machinelearnbot

Using conditional probability gives Bayes Nets strong analytical advantages over traditional regression-based models. This adds to several advantages we discussed in an earlier article. But what is conditional probability and what makes it different? In short, conditional probability means that the effects of one variable depend on, of flow from, the distribution of another variable (or others). The complete state of one variable determines how another acts.


Artificial Intelligence: Business Paradigm Reimagined Forbes India Blog

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Earlier this year, a US-based company introduced a mobile app for buying and selling cars. Customers are asked to click an image of their vehicle's rear end. Within moments of uploading the image, the car's year, make and model, and the resale value are identified. That done, offering the car, or seeking refinancing and insurance is well, a smooth ride. The technology behind all this does seem like magic.


AIOps tools portend automated infrastructure management

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Automated infrastructure management took a step forward with the emergence of AIOps monitoring tools that use machine learning to proactively identify infrastructure problems. Orchestration tools are becoming increasingly popular as part of the DevOps process as they allow admins to focus on more critical tasks, rather than the routine steps it takes to move a workflow along. Our experts analyze the top solutions in the market, namely: Automic, Ayehu, BMC Control-M, CA, Cisco, IBM, Micro Focus, Microsoft, ServiceNow, and VMware. You forgot to provide an Email Address. This email address doesn't appear to be valid.


Google's new artificial intelligence tool has massive potential

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The search function in Google Photos uses TensorFlow. Google made waves Monday when it made its new artificial intelligence system TensorFlow open source. Google has used TensorFlow for the past year for a variety of applications. For example, Google Photos is scary good at search because it uses TensorFlow to recognize places based on popular landmarks or characteristics, like the Yosemite National Park mountain range. Other Google products that use TensorFlow include Google search, Google's voice recognition app, and Google Translate.


Karnataka bets big on Artificial Intelligence, Big Data

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At a time when technologies like Artificial Intelligence are becoming the new world order, Karnataka is betting big to prepare itself for these new drivers of employment. Drones that monitor crop health, medical devices for early detection of cancer and apps that help visually impaired read and identify objects were some of the AI--based innovations on display at the Bengaluru Tech Summit 2017. Many of these companies pitched their products and services to an audience of top business executives, government officials, and investors at Karnataka government's flagship event held in Palace Grounds here. "We are at the beginning of what is called as fourth industrial revolution," said Kris Gopalakrishnan, co-founder of software giant Infosys. He said multinational companies are setting up research and development facilities here because they are able to find professionals at a scale who understand technologies such as AI and Machine Learning.


U-M receives $1.6M toward artificial intelligence for data science

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ANN ARBOR--Researchers, hospitals, companies, consumers and government agencies are drowning in data that they can't fully capitalize on. Now, a team from the University of Michigan has received $1.6 million from the Defense Advanced Research Projects Agency to help develop a toolkit so that even nondata scientists can use that data to possibly answer questions and ultimately speed up the process of discovery. The Michigan project seeks to develop algorithms that draw on techniques like machine learning for applications such as understanding video. It is one of 24 projects selected from around the country. DARPA intends to combine techniques from the projects into a central repository.


17 Israeli companies pioneering artificial intelligence

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Artificial intelligence (AI) gives machines the ability to "think" and accomplish tasks. AI already is a big part of our lives in areas such as banking, shopping, security and healthcare. Soon it will help us get around in automated vehicles. By 2025, the global enterprise AI market is predicted to be worth more than $30 billion. Israeli industry can expect a nice piece of that pie due to its world-class capabilities in AI and its subsets: big-data analysis, natural-language processing, computer vision, machine learning and deep learning.


I'm a pacifist, so why don't I support the Campaign to Stop Killer Robots?

The Guardian

The Campaign to Stop Killer Robots has called on the UN to ban the development and use of autonomous weapons: those that can identify, track and attack targets without meaningful human oversight. On Monday, the group released a sensationalist video, supported by some prominent artificial intelligence researchers, depicting a dystopian future in which such machines run wild. I am gratified that my colleagues are volunteering their efforts to ensure beneficial uses of artificial intelligence (AI) technology. But I am unconvinced of the effectiveness of the campaign beyond a symbolic gesture. Even though I identify myself strongly as a pacifist, I have reservations about signing up to the proposed ban.


Deconstructing Data Science: Breaking The Complex Craft Into It's Simplest Parts

@machinelearnbot

This is the SECOND in a series of posts on applying Tim Ferriss' accelerated learning framework to Data Science. My goal is to become a world-class (top 5%) Data Scientist in 6 months, while open-sourcing everything I find and learn along the way. And if you stick around until the end, you're in for a special treat. A simple Google search of "how to learn Data Science" returns thousands of learning plans, degree programs, tutorials, and bootcamps. It's never been more difficult for a beginner to find signal in the noise.


Machine Learning – the new catalyst in higher education

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Who would have thought that the stories around self-driven cars could actually come true, so much so that machine learning algorithms can enable computers to communicate with humans, drive cars, play games and do things human cannot do. Machine Learning with its mathematical algorithms and scientific innovations have become a huge part of our lives. For example, when Google auto-corrects a misspelled word, it applies probability algorithm, an action performed using Machine Learning, which compares the database of the previous searches done by millions of other users and predicts the word we intend to use. With the ever-increasing knowledge in science and technology, machine learning is not far behind to be the new switchboard for Higher Education, personalising education at all levels. It reads and identifies the data patterns to inform algorithms that can make data-driven predictions and decisions.