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Vincent Granville's Discussions
Generalized Coefficient of Correlation for Non-Linear Relationships
Started this discussion. Last reply by Timothy Gardner Feb 17, 2018. 2 Replies 2 Likes
Hiking Challenge
Started this discussion. Last reply by James Hillstrand Feb 27, 2017. 5 Replies 0 Likes
Vincent Granville's Page
Latest Activity
How to learn the maths of Data Science using your high school maths knowledge
Machine Learning and Data Science Cheat Sheet
Profile Information
- Short Bio:
- Well rounded, visionary data science executive with broad spectrum of domain expertise, technical knowledge, and proven success in bringing measurable added value to companies ranging from startups to fortune 100, across multiple industries (finance, Internet, media, IT, security) and domains (data science, operations research, machine learning, computer science, business intelligence, statistics, applied mathematics, growth hacking, IoT).
Vincent developed and deployed new techniques such as hidden decision trees (for scoring and fraud detection), automated tagging, indexing and clustering of large document repositories, black-box, scalable, simple, noise-resistant regression known as the Jackknife Regression (fit for black-box, real-time or automated data processing), model-free confidence intervals, bucketisation, combinatorial feature selection algorithms, detecting causation not correlations, and generally speaking, the invention of a set of consistent robust statistical / machine learning techniques that can be understood, implemented, interpreted, leveraged and fine-tuned by the non-expert. Vincent also invented many synthetic metrics (for instance, predictive power and L1 goodness-of-fit) that work better than old-fashioned stats, especially on badly-behaved sparse big data. Some of these techniques have been implemented in a Map-Reduce Hadoop-like environment. Some are concerned with identifying true signal in an ocean of noisy data.
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 (including Journal of Number Theory, IEEE Pattern analysis and Machine Intelligence, Journal of the Royal Statistical Society, Series B), a Wiley book on data science, and is an invited speaker at international conferences. Vincent also created the first IoT platform to automate growth and content generation for digital publishers, using a system of API's for machine-to-machine communications, involving Hootsuite, Twitter, and Google Analytics.
Vincent's profile is accessible at http://bit.ly/1jWEfMP and includes top publications, presentations, and work experience with Visa, Microsoft, eBay, NBC, Wells Fargo, and other organisations.
- My Website or LinkedIn Profile (URL):
- http://www.linkedin.com/in/vincentg
- Field of Expertise:
- Data Mining, Marketing Databases, Web Analytics, Statistical Consulting, Other
- Years of Experience in Analytical Role:
- 15+
- Professional Status:
- C-Level
- Interests:
- Networking, New Venture, Other
- What is your Favorite Data Mining or Analytical Website?
- http://www.analyticbridge.com
- What Other Analytical Website do you Recommend?
- http://www.datasciencecentral.com
- Your Company:
- Data Shaping Solutions
- Industry:
- Internet
- How did you find out about AnalyticBridge?
- Founder
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Vincent Granville's Blog
How the Mathematics of Fractals Can Help Predict Stock Markets Shifts
Posted on July 8, 2019 at 10:25am 0 Comments 0 Likes
In financial markets, two of the most common trading strategies used by investors are the momentum and mean reversion strategies. If a stock exhibits momentum (or trending behavior as shown in the figure below), its price on the current period is more likely to increase (decrease) if it has already increased (decreased) on the previous period.
When the return of a stock at time t depends in some way on the return at the previous time t-1, the returns are said to be autocorrelated. In…
ContinueWhere’s the Love – Trends in Data Science Career Opportunities
Posted on July 8, 2019 at 10:18am 0 Comments 0 Likes
Summary: The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists. Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand.
What a difference a few years can make. We used to say that everyone loves a data scientist – and wants to be one. …
ContinueHow to learn the maths of Data Science using your high school maths knowledge
Posted on June 27, 2019 at 12:22pm 0 Comments 0 Likes
By Ajit Jaokar. This post is a part of my forthcoming book on Mathematical foundations of Data Science. In this post, we use the Perceptron algorithm to bridge the gap between high school maths and deep learning.
Background
As part of my role as course director of the Artificial Intelligence: Cloud and Edge Computing at the University of Oxford, I see more students who are familiar with programming than with mathematics.
They have last learnt maths…
ContinueMachine Learning and Data Science Cheat Sheet
Posted on June 6, 2019 at 8:27pm 0 Comments 0 Likes
Originally published in 2014 and viewed more than 200,000 times, this is the oldest data science cheat sheet - the mother of all the numerous cheat sheets that are so popular nowadays. I decided to update it in June 2019. While the first half, dealing with installing components on your laptop and learning UNIX, regular expressions, and file management hasn't changed much, the second half, dealing with machine learning, was rewritten entirely from scratch. It is amazing how things changed in…
Continue7 Simple Tricks to Handle Complex Machine Learning Issues
Posted on June 4, 2019 at 12:00pm 0 Comments 0 Likes
We propose simple solutions to important problems that all data scientists face almost every day. In short, a toolbox for the handyman, useful to busy professionals in any field.
1. Eliminating sample size effects. Many statistics, such as correlations or R-squared, depend on the sample size, making it difficult to…
Continue
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Dear Vincent,
I want to let you know that appreciate your posts. Your excursions in data science, number theory, probabilities, experimental mathematics, etc. are thoughtful, provocative, on occasions infuriating opinionated, and never dull. I also admire how prolific you are.
Here's to many more blog entries,
Victor
scaling up for high dimensional data& high speed data streams..
Thanks for the invite!
Thanks for the invite!
vincent,
thanks for adding me. can i ask you why you choose to add people like me? didn't see it coming?
regards,
shane
Thanks also for the invite. I do have a question about data mining methods and tools. I have a specific situation in mind at work, and would like some professional feedback. Anyone willing to lend an ear and opinion..? thanks...rob
Hey Vincent,
Sometime back I saw internship material on your site. I am working in the Analytics Industry and looking for improving my technical skills. Please let me know in case you guys are offering any internships which I can pursue along with my job.
Regards,
Rishi
Thanks Vincent! I am honored to be your friend.
Cheers,
Vickie
Thank you Vincent.
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