Tim Matteson's Likes

June 2019

The Lifecycle of Data

The lifecycle of data travels through six phases:…

Blog The Lifecycle of Data 3 Likes

April 2019

What Negative Kurtosis implies Hi...I am new to data science, I have a dataset and when I am computing kurtosis of the Target Variable I am getting the value as -0.94. What I understand is a high kurtosis implies a Heavy tail of t… Discussion What Negative Kurtosis implies 1 Like Restrictions for split-half testing ? Hello everyone, I am a psychology student about to write my bachelor thesis for which I need to test some questionnaires for split-half reliability (plus Cronbach's Alpha and retest relability). In… Discussion Restrictions for split-half testing ? 1 Like Minimum number of observations per time slic… Is there a minimum number of observations per time slice needed? What happens to the method as the number approaches 1? Discussion Minimum number of observations per time slic… 1 Like Difference between Machine Learning, Data Sci

In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as machine learning, deep learning, AI, statistics, IoT,…

Blog Difference between Machine Learning, Data Sci 108 Likes

January 2019

Visualisation of train and test error I am working on Digit Recogniser and after training the fully connected model with 3 CNN layers and 2 dense network layers with rely and softmax activation functions, getting below curve.Screen%20Sh… Discussion Visualisation of train and test error 2 Likes The Math Required for Machine Learning

This article was written by Harsh Sikka. This version is a summary of the original article.…

Blog The Math Required for Machine Learning 2 Likes 5 Predictions about Data Science, Machine Lea

Summary: Here are our 5 predictions for data science, machine learning, and AI for 2019. We also take a look back at last year’s predictions to see how we…

Blog 5 Predictions about Data Science, Machine Lea 6 Likes Statistics cheatsheet Hi All, Pearson Correlation, Spearman Correlation, Normal distribution, Binomial distribution, Poisson distribution, one-sample tests of hypothesis, two-sample tests of hypothesis, ANOVA, nonparamet… Discussion Statistics cheatsheet 3 Likes Use of Data Profiling Tools to Increase Accu… I am not a Data Scientist, although I do have an intermediate-level understanding of AI / ML. I am curious as to whether commercial or open source data profiling tools might be used to discover pat… Discussion Use of Data Profiling Tools to Increase Accu… 1 Like Transitioning to Data Science from Aerospace… Hello, I am transitioning to Data Science after being an aerospace engineer for about 10 years. I am getting a masters in CS at Georgia Tech and am going to concentrate on statistics, algorithms and… Discussion Transitioning to Data Science from Aerospace… 2 Likes

November 2018

From academia to data science in healthcare:… I’m transitioning from almost a decade of academic bench research (B.S. in neuroscience), publications, and advanced statistical models (SPSS, SAS proc mixed). My goal is to do scientific analyses in… Discussion From academia to data science in healthcare:… 2 Likes How to diagnose if there is a group problem? How to diagnose if there is a group problem? Hi, imagine Internet network. As a user you have a router, that is connected to some internet service provider node. Usually, more than one router (user)… Discussion How to diagnose if there is a group problem? 1 Like Can i use regression for multi ( Scenario) i… use case : 1 . A B C D ------ > Y A F G H ------> Y A B F C ------> Y B C F I --------> Y But all should be done in single model by any means… Discussion Can i use regression for multi ( Scenario) i… 1 Like extract of (Key,Value) Pairs from Unstructur… What is the best way to extract of (Key,Value) Pairs from Unstructured text. Example: like extract relevant data from OCRéd text from Airline Boarding pass, Hotel Bill, etc ? Any built-in algorithm a… Discussion extract of (Key,Value) Pairs from Unstructur… 2 Likes

October 2018

25 Statistical Concepts Explained in Simple E

This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow,…

Blog 25 Statistical Concepts Explained in Simple E 6 Likes R vs Python: Usability, Popularity, Pros & Co

This article was written by Tanmoy Ray

If you are a senior data scientist or pro…

Blog R vs Python: Usability, Popularity, Pros & Co 3 Likes Predictive Model Biasing the Target Variable? I work at an insurance company, and a process currently exists here where we remove vehicles from auto policies if we find that there’s no insurable interest in the vehicle. To determine whether tha… Discussion Predictive Model Biasing the Target Variable? 3 Likes Why is Becoming a Data Scientist so Difficult

This question was recently posted on Quora. Below is my answer.

It depends what kind of data scientist you want to become. I think many university curricula include material that…

Blog Why is Becoming a Data Scientist so Difficult 3 Likes Practicing ‘No Code’ Data Science

Summary: We are entering a new phase in the practice of data science, the ‘Code-Free’ era. Like all major changes this one has not sprung fully grown but the…

Blog Practicing ‘No Code’ Data Science 5 Likes