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Descriptive vs. Inferential Statistics in One Picture

This simple picture shows the differences between descriptive statistics and Inferential statistics. 

More information about Descriptive and Inferential Statistics:

What is "Descriptive…

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Added by Stephanie Glen on August 24, 2019 at 7:32am — No Comments

A Strange Family of Statistical Distributions

I introduce here a family of very peculiar statistical distributions governed by two parameters: p, a real number in [0, 1], and b, an integer > 1. These distributions were discovered by solving the following functional equation, corresponding to b = 2. 

Here f(x) is the density attached to that…

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Added by Vincent Granville on August 23, 2019 at 10:30am — No Comments

Thursday News, August 22

Here is our selection of featured articles and technical resources posted since Monday:

Resources, Forum Questions:

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Added by Vincent Granville on August 22, 2019 at 1:00pm — No Comments

Julia vs R: Freeing the data scientist mind from the curse of vectoRization

Nowadays, most data scientists use either Python or R as their main programming language. That was also my case until I met Julia earlier this year. Julia promises performance comparable to statically typed compiled languages (like C) while keeping the rapid development features of interpreted languages (like Python, R or Matlab). This performance is achieved by just-in-time (JIT) compilation. Instead of interpreting code, Julia compiles code in runtime. While JIT compilation has…

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Added by Daniel Moura on August 22, 2019 at 1:00pm — No Comments

Tech Talk with Rowel Atienza: Is Keras the Perfect Deep Learning Library in Python?

Keras [Chollet, François. "Keras (2015)." (2017)] is a popular deep learning library with over 250,000 developers at the time of writing, and over 600 active contributors. This library is dedicated to accelerating the implementation of deep learning models. This makes Keras ideal when we want to be practical and hands-on.

Keras enables us to build and train models efficiently. In the library, layers are connected…

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Added by Packt Publishing on August 22, 2019 at 1:36am — No Comments

Three-way data splits (training, test and validation) for model selection and performance estimation

The use of training, validation and test datasets is common but not easily understood. 

 

In this post, I attempt to clarify this concept. The post is part of my forthcoming book on learning Artificial Intelligence, Machine Learning and Deep Learning based on high school maths.  If you want to know more about the book, please follow me on Linkedin Ajit Jaokar

 

Background

Jason…

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Added by ajit jaokar on August 20, 2019 at 1:58pm — No Comments

How to Set the Stage for a Successful Data Science Project: A Sales Person’s Perspective

By Pranay Agarwal and Betsy Romeri.

“They just don't understand me. I provide them with all the necessary details, all the data and analysis possible, but they don't seem to get it.” These were the comments of a data scientist at one of the largest CPG companies in Brazil as he vented to me over coffee and described how frustrating his last year had been. He definitely was feeling the heat from the business stakeholders. None of the major analytics initiatives that his team…

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Added by Betsy Romeri on August 20, 2019 at 5:00am — No Comments

The problem with Cambridge Analytica is not (just) the privacy breach

The problem with Cambridge Analytica is not the privacy breach

TL;DR: Echo chambers created by CA or other political marketing firms are bad for democracy, but you can counter them by following pages, people and content you would normally not follow on FB.…
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Added by Jesus Ramos on August 19, 2019 at 10:19am — No Comments

Remarkable Applications of Data Science

We are living in a time of slow yet steady insurgence of data science and AI in our lives. It spans more industries than we’d expect.

Over the past decade, Data Science has stretched out into almost every industry. Form industries like Automobiles and Healthcare to Finance as well as the Gaming Sector. It plays a significant part in the government sectors.  So here are some instances of the most impactful…

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Added by Sudhanshu Ahuja on August 19, 2019 at 3:00am — No Comments

Weekly Digest, August 19

Monday newsletter published by Data Science Central. Previous editions can be found here. The contribution flagged with a + is our selection for the picture of the week. To subscribe, follow this link

Announcement…

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Added by Vincent Granville on August 18, 2019 at 10:30am — No Comments

Data Science Lessons from the Apollo Moon Landing

Landing a man on the moon 50 years ago was a true feat of genius, and an outstanding collaboration between many different stakeholders with many differing individual agendas and objectives (not exactly something we’re seeing out of our government leaders today).

BusinessWeek magazine, as always, published an exceptional article titled “Five Management Lessons the Apollo…

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Added by Bill Schmarzo on August 18, 2019 at 5:22am — No Comments

Hiring Strategy - from Campus to Competition!

Who is Data Scientist?

“…

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Added by Lakshmi Narasimhan Santhanam on August 17, 2019 at 7:30pm — No Comments

Bayesian Machine Learning

Bayesian Machine Learning (part - 4)

Introduction

In the previous post we have learnt about the importance of Latent Variables in Bayesian modelling. Now starting from…

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Added by Ashutosh vyas on August 16, 2019 at 8:34am — No Comments

How to Combine Different Methods for A 24-times Faster Time Series Prediction

Today, businesses need to be able to predict demand and trends to stay in line with any sudden market changes and economy swings. This is exactly where…

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Added by Olha Zhydik on August 16, 2019 at 7:00am — No Comments

Machine Learning on Mobile: An On-device Inference App for Skin Cancer Detection

Mobile health (mHealth) is considered one of the most transformative drivers for health informatics delivery of ubiquitous medical applications. Machine learning has proven to be a powerful tool in classifying medical images for detecting various diseases. However, supervised machine learning requires a large amount of data to train the model, whose storage and processing pose considerable system requirements challenges for mobile applications. Therefore, many studies focus on…

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Added by AI on August 16, 2019 at 6:00am — No Comments

Neural Machine Translation With Attention Mechanism: Step-by-step Guide

Neural networks have made significant leaps in the image and natural language processing (NLP) recently. They’ve not only learned to recognise, localise and segment images; they’re now able to effectively translate…

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Added by Olha Zhydik on August 16, 2019 at 5:30am — No Comments

Data Science Applications In Various Industries

The amount of data generated today is astonishing. Research published by Seagate reports that by 2025, around 175 Zettabytes of data will be generated on an annual base. The colossal sets of collected, analyzed, monitored, and stored data is only…

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Added by Sandra Durcevic on August 16, 2019 at 12:30am — No Comments

Artificial Intelligence vs. Machine Learning vs. Deep Learning: What is the Difference?

In fact, the business plans of the next 10,000 startups are easy to forecast: Take X and add AI. Find something that can be made better by adding online smartness to it

Kevin Kelly, The Inevitable: Understanding the 12 Technological Forces That Will Shape Our…
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Added by Igor Bobriakov on August 15, 2019 at 9:49pm — No Comments

Thursday News, August 15

Here is our selection of featured articles and technical contributions posted since Monday:

Technical Resources and Forum Questions

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Added by Vincent Granville on August 15, 2019 at 9:30am — No Comments

Your Star Analyst Just Left the Team — What Do You Do Now?

It finally happened. Your star analyst, beloved by the business for producing those top-notch analytics, just flew the nest.  Talent moves; every analytic team has dealt with this scenario. And while we don’t have the magic bullet for how to keep that talent, we can share some smart moves to mitigate the risk when someone leaves your team.…

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Added by Aginity on August 14, 2019 at 7:00am — No Comments

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