Tim Matteson's Likes

October 2019

Free Book: Getting Started with TensorFlow 2.

By Amita Kapoor and Ajit Jaokar. In this book, we introduce coding with tensorflow 2.0. We show how to develop with tensorflow 1.0 and contrast how the same code can be developed in…

Blog Free Book: Getting Started with TensorFlow 2. 3 Likes Complete Hands-Off Automated Machine Learning

Summary: Here’ a proposal for real ‘zero touch’, ‘set-em-and-forget-em’ machine learning from the researchers at Amazon. If you have an environment as fast changing…

Blog Complete Hands-Off Automated Machine Learning 2 Likes

September 2019

We See in 3D – So Should Our CNN Models

Summary: Autonomous vehicles (AUVs) and many other systems that need to accurately perceive the world around them will be much better off when image classification…

Blog We See in 3D – So Should Our CNN Models 3 Likes AWK -- a Blast from Wrangling Past.

I recently came across an interesting account by a…

Blog AWK -- a Blast from Wrangling Past. 2 Likes Boosting your Machine Learning productivity w

By…

Blog Boosting your Machine Learning productivity w 1 Like Data Engineering, Prep & Labeling for AI Page Data Engineering, Prep & Labeling for AI 4 Likes 10 Visualizations Every Data Scientist Should

Ancient ruins are sometimes discovered after long years investigating regions of the world covered by dense jungle or giant…

Blog 10 Visualizations Every Data Scientist Should 2 Likes NLP Picks Bestsellers – A Lesson in Using NLP

Summary: 99% of our application of NLP has to do with chatbots or translation. This is a very interesting story about expanding the bounds of NLP and feature…

Blog NLP Picks Bestsellers – A Lesson in Using NLP 4 Likes

August 2019

One Shot Learning and Other Strategies for Re

Summary: Not enough labeled training data is a huge barrier to getting at the equally large benefits that could be had from deep learning applications. Here are five…

Blog One Shot Learning and Other Strategies for Re 2 Likes Validation of the Prediction Model When there is a prediction model, apart from R-square, residuals etc. what are the different ways of performing validation of the prediction model? Basically,what are the different ways (apart from… Discussion Validation of the Prediction Model 1 Like looking for bird dataset Hi, I'm a student in France and I am looking for a dataset including most (or all) bird species, with informations like average wingspan, average weigth, max flight speed and eventually picture(s) of… Discussion looking for bird dataset 1 Like

July 2019

How to analyze spatial data stored in a non-… Hello DSC folks, I have some survey data that I'm trying to use for mapping, but I can't figure out a good way to actually map responses without losing a lot of data I would like to preserve. We have… Discussion How to analyze spatial data stored in a non-… 1 Like Handling different length string features a… Hi, I am currently working on a problem where the dataset contains 200+ features (Let's call them the code features, e.g no.of.loops, memoryInst, loadInst, etc and Flags that are used to compile co… Discussion Handling different length string features a… 2 Likes New to Data Science Hi Everybody, I have been studying data Science from last 1.5 years and so far i have complete Data Science in R and working on python. I just anyone to answer me few questions, its just i cant fin… Discussion New to Data Science 1 Like

June 2019

Free Book: Statistics -- New Foundations, Too

This book is intended for busy professionals working with data of any kind: engineers, BI analysts, statisticians, operations research, AI and machine learning professionals, economists, data…

Blog Free Book: Statistics -- New Foundations, Too 8 Likes The Lifecycle of Data

The lifecycle of data travels through six phases:…

Blog The Lifecycle of Data 5 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 109 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