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…*

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…*

I recently came across an interesting account by a…

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

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 ShouldAncient 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…*

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…*

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…
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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…
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New to Data Science
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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 DataThe lifecycle of data travels through six phases:…

Blog The Lifecycle of Data 5 Likes
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
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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 ?
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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…
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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
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…
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Visualisation of train and test error
2 Likes

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