Common Errors in Machine Learning due to Poor
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Finding Millions of Datasets with New Google
2 Likes

Probably the worst error is thinking there is a correlation when that correlation is purely artificial. Take a data set with 100,000 variables, say with 10 observations. Compute all the (99,999 *…

Blog Common Errors in Machine Learning due to Poor 7 Likes Finding Millions of Datasets with New Google*News from Google.…*

New Perspective on Fermat's Last Theorem

Fermat's last conjecture has puzzled mathematicians for 300 years, and was eventually proved only recently, see…

Blog New Perspective on Fermat's Last Theorem 2 Likes Best Languages for Data Science and StatisticHundreds of programming languages dominate the data science and statistics market: Python, R, SAS and SQL are standouts. If you're looking to branch out and add a new programming language to your…

Blog Best Languages for Data Science and Statistic 5 Likes
A Majority of Data Scientists Lack Competency

*This article was written by Bob Hayes**.*

Data science requires…

Blog A Majority of Data Scientists Lack Competency 2 Likes
Which Programming Language to Choose?

Great infographics on how to choose the right language for you to learn. Originally posted…

Blog Which Programming Language to Choose? 7 Likes
Loop-Runtime Comparison R, RCPP, Python

The positive reactions on my last post: “Different kinds of loops in R” lead me to compare some different versions of loops in R, RCPP (C++ integration of R). To see a bigger picture, I apply the…

Blog Loop-Runtime Comparison R, RCPP, Python 2 Likes
Top 10 Neural Network Architectures
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Top AI algorithms for Healthcare
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10 Areas of Expertise in Data Science
### Introduction

*This article was written by James Le.*

Some examples of tasks best solved by…

Blog Top 10 Neural Network Architectures 1 Like Unsolved Problems in Machine Learning*Quora contribution written by Chomba Bupe.*

I am actually not even aware of any…

Blog Unsolved Problems in Machine Learning 2 Likes Free Book: Foundations of Data Science (from*By Avrim Blum, John Hopcroft, and Ravindran Kannan (2018). *

Computer science as an academic discipline began in the 1960s. Emphasis was on programming…

Blog Free Book: Foundations of Data Science (from 6 Likes Real Time Computer Vision is Likely to be the*Summary:** Real Time Computer Vision (RTCV) that requires processing video DNNs at the edge is likely to be the next killer app that powers a renewed love affair with…*

The analytics market is booming, and so is the use of the keyword – Data Science. Professionals from different disciplines are using data in their day to day activities, and feel the need to…

Blog 10 Areas of Expertise in Data Science 3 Likes Basic Statistics Concepts Every Data ScientisData science is a multidisciplinary blend of data inference, algorithm development, and technology in order to solve analytically complex problems. At the core is data.…

Blog Basic Statistics Concepts Every Data Scientis 3 Likes
Deep Learning Explainability: Hints from Phys

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Deep Learning Explainability: Hints from Phys
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Andrea Manero-Bastin
Member
Andrea Manero-Bastin
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Question about the big O notation
We all know that exponential functions grow faster than polynomials. Let us consider the following function: f(n) = n^a ⋅ (log n)^b ⋅ (log log n)^c ⋅ (log log log n)^d⋯ where the leading coefficient…
Discussion
Question about the big O notation
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A So-So Second Date with Julia
### A So-So…

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A So-So Second Date with Julia
1 Like
Your Company Needs A Spreadsheet Policy More

Electronic spreadsheets have been around for nearly 40 years now. They were invented by Bob Frankston and Dan Bricklin, founders of VisiCalc, and I had a chance to chat with both gentlemen a…

Blog Your Company Needs A Spreadsheet Policy More 1 Like Some Irresistible Integrals, Computed Using S*Updated on Dec 12, 2018. An error was fixed when g(x) is not equal to x, and a new section "Generalization" was added. A link to a large collections of intriguing integrals was added at the…*

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