Roadmap: How to Learn Machine Learning in 6 Months

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This talk is presented by Zach Miller, Senior Data Scientist at Metis Learn more: https://www.ideassn.org/ Linkedin us: https://www.linkedin.com/company/data-science-association/ Like us: https://www.facebook.com/datasciencea… Follow us: https://www.facebook.com/ideassn/ Instagram us: ideassn source

CHM Live | Big Data Gets Political

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[Recorded May 19, 2017] Liking your favorite musicians, restaurants, and travel destinations on Facebook may seem harmless. But each click may have played a crucial role in Donald Trump’s victory and the UK’s vote to leave the European Union. Dr. Michal Kosinski turned studying Facebook likes into a science at […]

Machine Learning APIs by Example (Google I/O '17)

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Find out how you can make use of Google’s machine learning expertise to power your applications. Google Cloud Platform (GCP) offers five APIs that provide access to pre-trained machine learning models with a single API call: Google Cloud Vision API, Cloud Speech API, Cloud Natural Language API, Cloud Translation API […]

11. Introduction to Machine Learning

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MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: Eric Grimson In this lecture, Prof. Grimson introduces machine learning and shows examples of supervised learning using feature vectors. License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu source

The Rise of Artificial Intelligence through Deep Learning | Yoshua Bengio | TEDxMontreal

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A revolution in AI is occurring thanks to progress in deep learning. How far are we towards the goal of achieving human-level AI? What are some of the main challenges ahead? Yoshua Bengio believes that understanding the basics of AI is within every citizen’s reach. That democratizing these issues is […]

Machine Learning Explained In 2 Minutes

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What is Machine Learning? Traditional programming requires human to define set of instructions which requires a tons of code and leave a plenty of room for error. With machine learning, we just need data, a tons of data to be precise. Lucky for us, thanks to internet and smartphones, we […]