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vincentg64

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Dr. Vincent Granville has successfully solved problems for 15 years in data mining, text mining, predictive modeling, business intelligence, technical analysis, keyword and web analytics. Vincent is widely recognized as the leading expert in click scoring and web traffic optimization. Over the last ten years, he has worked in real-time credit card fraud detection with Visa, advertising mix optimization with CNET, A/B testing with LowerMyBills, online user experience with Wells Fargo, search intelligence with InfoSpace, click fraud detection with major search engines and large advertising clients, as well as statistical litigation.

Vincent was formerly Chief Science Officer at Authenticlick, where he developed patent pending technology. Most recently, he successfully launched DataShaping and AnalyticBridge, the largest social network for analytic professionals, with 20,000 members. Vincent is a former post-doctorate of Cambridge University and the National Institute of Statistical Sciences. He was among the finalists at the Wharton School Business Plan Competition and at the Belgian Mathematical Olympiads. Vincent has published 40 papers in statistical journals and is an invited speaker at international conferences. He also developed a new data mining technology known as hidden decision trees.

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www.datasciencecentral.com 10y ago

Book: Mastering Machine Learning with R

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www.datasciencecentral.com 10y ago

Video: Quadcopter Navigation in the Forest Using Deep Neural Networks

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www.datasciencecentral.com 10y ago

Book: Introducing Data Science: Big Data, Machine Learning with Python

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www.datasciencecentral.com 10y ago

A Complete Tutorial to Learn Data Science with Python from Scratch

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www.datasciencecentral.com 10y ago

Top IPython Tutorials for Data Science and Machine Learning

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www.datasciencecentral.com 10y ago

A plethora of data science related books

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www.datasciencecentral.com 10y ago

Comprehensive List of Data Science Graduate Programs

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www.datasciencecentral.com 10y ago

Dimensionality Reduction with R to Uncover Malicious Internet Domains

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www.datasciencecentral.com 10y ago

13 Great Data Science Infographics

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www.datasciencecentral.com 10y ago

Kcore Data Science Influencers: Top 10

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www.datasciencecentral.com 10y ago

A Complete Tutorial to Learn Data Science in R from Scratch

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www.datasciencecentral.com 10y ago

Data Science and Machine Learning Encyclopedia – 4,000 Entries

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www.datasciencecentral.com 10y ago

Hitchhiker's Guide to Data Science, Machine Learning, R, Python

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www.datasciencecentral.com 10y ago

Xda: R package for exploratory data analysis (plotting, univariate, bivariate)

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www.datasciencecentral.com 10y ago

Book: Deep Learning with Python

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www.datasciencecentral.com 10y ago

Data Science Content Not Found on Google (also Posted on BannedOnGoogle.com)

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www.datasciencecentral.com 10y ago

Big Data's Most Influential Rock Stars: 10 Must-Follow Leaders

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www.datasciencecentral.com 10y ago

500+ Data Science Degrees and Certificates Offered by Universities

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www.datasciencecentral.com 10y ago

Debunking the 68 Most Common Myths About Big Data – Part 1

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www.datasciencecentral.com 10y ago

Will We Soon No Longer Need Data Scientists? (by Bernard Marr)

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www.datasciencecentral.com 10y ago

The Guide to Learning Python for Data Science

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www.datasciencecentral.com 10y ago

Treacherous Visualizations

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Top Hot Data Science Technologies

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www.datasciencecentral.com 10y ago

Deep Learning Demystified

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www.datasciencecentral.com 10y ago

To Pie Chart or Not to Pie Chart?

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www.datasciencecentral.com 10y ago

11 Important Model Evaluation Techniques Everyone Should Know

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www.analyticbridge.com 10y ago

Machine Learning with Python- Why do they form the best combination

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www.datasciencecentral.com 10y ago

Learning R in Seven Simple Steps

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www.datasciencecentral.com 10y ago

The Guide to Learning Python for Data Science

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www.datasciencecentral.com 10y ago

Automated Predictive Analytics – What Could Possibly Go Wrong?

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This article was written for data scientists, not for investors. Here I try to explain how a data scientist (entrepreneur) can make a 7-digit revenue working from home, with no funding other than re-investing some of the profits into her business, with no phone calls, no travels, no meetings, based on a real story from a guy (me) born abroad in poverty. If it was that easy, everybody would do it. So I'm not surprised many people don't understand: if you don't understand, you can't do it - plain and simple.