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Capri Granville's Blog (77)

Probability: Syllabus, Cambridge University

Course material for Richard Weber's course on Probability for first year mathematicians at Cambridge. You can also check Richard's blog (a former colleague of my dad) here. It also includes exams question. This is the base material that needs to be mastered before being accepted in the prestigious Tripo III curriculum at Cambridge. The book (PDF) can be downloaded…

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Added by Capri Granville on August 23, 2020 at 1:30pm — No Comments

Statistical Distributions in One Picture

I can't find anymore where this chart, featuring relations between distributions, was first published. I remember seeing it on the Cloudera blog.

Another shorter one featuring the most useful one for statistical analysis, can be found…

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Added by Capri Granville on July 23, 2020 at 1:00pm — 2 Comments

Popular Programming Languages: 1960 to 2020

In one great video.

Enjoy the video!

Added by Capri Granville on February 19, 2020 at 9:30pm — No Comments

Two New Free Books on Machine Learning

Here are two great resources for machine learning and AI practitioners. Other recent free books can be found here

1. Free and Open Machine Learning Documentation

This book is all about applying machine learning solutions for real practical use cases. This means the core focus is on outlining how to use machine learning…

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Added by Capri Granville on February 2, 2020 at 6:30am — No Comments

Finding Millions of Datasets with New Google Search Feature

News from Google.

Across the web, there are millions of datasets about nearly any subject that interests you. If you’re looking to buy a puppy, you could …

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Added by Capri Granville on January 28, 2020 at 12:30pm — No Comments

Traveling to Other Planets with Google Maps

Interesting application leveraging very big data, as you can zoom in to check out pretty detailed landscape on a few nearby planets and satellites. It would be even better if it allowed you to simulate space travel. At a speed 32 million times faster than the speed of light, it would take you 4 seconds to reach the closest star (Alpha Centauri): that's how fast you need to travel to see the stars really moving in the sky. By contrast, space travel at just the speed of light would make stars…

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Added by Capri Granville on January 4, 2020 at 9:30am — No Comments

Machine Learning Technical Landscape

The picture below is from the article Machine Learning and Deep Learning frameworks and libraries for large-scale data mining: a survey, posted here.

Authors: Giang Nguyen, Stefan Dlugolinsky, Martin Bobák, Viet…

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Added by Capri Granville on December 26, 2019 at 12:00pm — No Comments

List of Time Series Methods in One Picture

The picture below was found in some tweets posted by top data science influencers, though its origin is somewhat obscure. 

Many of these methods are described in Wikipedia. Many are also described on Data Science Central, see for instance…

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Added by Capri Granville on December 8, 2019 at 12:30pm — No Comments

Alternatives to the Gradient Descent Algorithm

Gradient Descent has a problem of getting stuck in Local Minima. The following alternatives are available. The following is a summary of answers suggested on CrossValided, originally posted here. …

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Added by Capri Granville on November 14, 2019 at 10:00am — No Comments

Free 2,900-page Manual about Pandas

Pandas is an open source, BSD-licensed library providing high-performance, easy-to-use data structures and data analysis tools for the Python programming language.

Hexagonal binning with Hexbin: extract from the Visualization chapter

This reference is available…

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Added by Capri Granville on November 3, 2019 at 10:00am — 1 Comment

Best 2019 Paper Awards in Computer Vision

The IEEE International Conference on Computer Vision received 4,303 papers and accepted 1,075 for the 2019 summit. Bellow is the best paper award.

Source: see paper listed below…

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Added by Capri Granville on November 3, 2019 at 10:00am — No Comments

Math of Deep Learning: Free Chapter from 832-page eBook

The title of the eBook is Dive in Deep Learning. Below I list the content of chapter 16, dealing with the math of deep learning. But the whole book (entirely free) is worth reading. This is an interactive deep learning book with code, math, and discussions. It is based on the NumPy interface.

Authors

  • Aston Zhang, Amazon Senior Scientist, UIUC Ph.D.
  • Zack C. Lipton, Amazon Scientist, CMU Assistant Professor, UCSD Ph.D.
  • Mu Li,…
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Added by Capri Granville on November 3, 2019 at 10:00am — 2 Comments

Jupyter Notebooks: Fundamentals of Machine Learning and Deep Learning

Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2. 

Source: from the Support Vector Machines chapter,…

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Added by Capri Granville on October 27, 2019 at 6:30am — No Comments

Machine Learning and Deep Learning Textbook - Cornell University

Another free book to learn Machine Learning. It also comes with a Youtube video series available here

Content

  • Machine Learning Setup
  • k-Nearest Neighbors / Curse of…
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Added by Capri Granville on October 27, 2019 at 6:30am — No Comments

40+ Modern Tutorials Covering All Aspects of Machine Learning

This list of lists contains books, notebooks, presentations, cheat sheets, and tutorials covering all aspects of data science, machine learning, deep learning, statistics, math, and more, with most documents featuring Python or R code and numerous illustrations or case studies. All this material is available for free, and consists of content mostly created in 2019 and 2018, by various top experts in their respective fields. A few of these documents are available on LinkedIn: see last section…

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Added by Capri Granville on October 12, 2019 at 7:30am — 1 Comment

GIF Image Featuring a Beautiful Visualization

Interesting GIF visualization. We do not endorse any political opinion, and the picture below is provided only for its visual value, not for its political content.

It was originally posted here. Other visualizations can…

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Added by Capri Granville on October 11, 2019 at 6:30am — 1 Comment

Free Book: A Comprehensive Guide to Machine Learning (Berkeley University)

By Soroush Nasiriany, Garrett Thomas, William Wang, Alex Yang. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. Dated June 24, 2019. This is not the same book as The Math of Machine Learning, also published by the same department at Berkeley, in 2018, and also authored by Garret…

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Added by Capri Granville on October 3, 2019 at 8:30am — 1 Comment

Artificial Neural Networks in a Nutshell

According to Wikipedia, an ANN is based on a collection of connected units or nodes called artificial neurons, which loosely model the neurons in a biological brain. Each connection, like the synapses in a biological brain, can transmit a signal to other neurons. An artificial neuron that receives a signal then processes it and can signal neurons connected to it.

In ANN implementations, the "signal" at a connection is a real number, and the output of each neuron is computed by some…

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Added by Capri Granville on September 23, 2019 at 4:30am — No Comments

Stylometric Feature Engineering Techniques in Authorship Analysis

Technical paper, published in IEEE Xplore.

Abstract:

Authorship analysis (AA) is the study of unveiling the hidden properties of authors from textual data. It extracts an author's identity and sociolinguistic characteristics based on the reflected writing styles in the text. The process is essential for various areas,…
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Added by Capri Granville on September 22, 2019 at 1:30pm — No Comments

AI Trading the Market

Written by Jun Wu.

Every year since I worked on wall street, traditional trading-is-an-art-form traders are leaving and retiring.

Their jobs are replaced by a new breed of experts who are savvy with numbers, systems, and the market. These experts don’t sleep, eat or drink. They are the AI Systems that can run on a thousand machines to…

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Added by Capri Granville on September 22, 2019 at 1:30pm — No Comments

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