Subscribe to DSC Newsletter

Featured Blog Posts (5,788)

Where’s the Love – Trends in Data Science Career Opportunities

Summary:  The annual Burtch Works salary survey tells us a lot about which industries are using the most data scientists and the difference between higher and lower skilled data scientists.  Salary increases show us whether demand is increasing, and finally we take a shot at determining which skills are most in demand.

 …

Continue

Added by William Vorhies on July 1, 2019 at 8:00am — No Comments

Free Book: Classification and Regression In a Weekend

By Ajit Jaokar and Dan Howarth. With contributions from Ayse Mutlu.

Exclusively for Data Science Central members, with free access. You can download this book (PDF) here

This tutorial began as a series of weekend workshops created by Ajit Jaokar and Dan Howarth. The idea was to work with a specific (longish) program such that we explore as much of it…

Continue

Added by Vincent Granville on May 16, 2019 at 8:30am — 1 Comment

Revisiting the Implementation of AI Strategies

Summary:  Can all AI strategies be defined by a few common needs or are the different AI strategy models sufficiently unique that they need to be considered as separate approaches.

 

There’s an article in the current Harvard Business Review titled “…

Continue

Added by William Vorhies on February 3, 2020 at 11:15am — No Comments

Life Cycle of a Data Science & AI Project

How to build a project from scratch by using a latest, state-of-the-art AI technology stack?

After spending a few years working on data science - enriched products, we tried more than 10 different  workflow concepts - adopted scrum & agile, waterfall, iterative kanban canvas etc.

As a result, we've drafted our  own data science project development workflow that allows us to iterate over data science hypotheses, process and acquire data, build…

Continue

Added by Max Frolov on January 19, 2020 at 3:00am — No Comments

Magic Dust for Artificial Intelligence Product Managers

In a meeting with engineering leadership, I was told, "We'll tack on the AI later."
While doing ethnographic testing with a β customer, I was asked if the AI would just learn and then do everything perfectly.
During a…
Continue

Added by Mark Cramer on January 23, 2020 at 12:30pm — No Comments

Weekly Digest, February 3

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.  …

Continue

Added by Vincent Granville on February 2, 2020 at 9:30am — No Comments

12 thought leaders on LinkedIn who are creating original content to learn Artificial Intelligence and Machine Learning

I often use this quote from Isaac Newton in my teaching.

AI is a vast and a complex subject. No matter how much you know -  you realise that there is really a vast amount more to learn. So, my way of learning a subject as complex and dynamic as AI, is to share my insights. This helps me to refine my own thinking.

I also follow…

Continue

Added by ajit jaokar on January 26, 2020 at 12:30pm — No Comments

AI Techniques for Workforce Forecasting

Summary:  Workforce forecasting and scheduling applications are rapidly upgrading their use of AI.  Techniques of time series forecasting ranging from the simple Holt Winters to the complex, DNNs and Multiple Temporal Aggregation are available on some but not all platforms.  Increasingly, AI differentiates the usefulness of these apps.

 …

Continue

Added by William Vorhies on January 28, 2020 at 2:15pm — No Comments

Two New Free Books on Machine Learning

Here are two great resources for machine learning and AI practitioners. Other recent free books can be found here

1. Free and Open Machine Learning Documentation

This book is all about applying machine learning solutions for real practical use cases. This means the core focus is on outlining how to use machine learning…

Continue

Added by Capri Granville on February 2, 2020 at 6:30am — No Comments

Artificial Intelligence for Customer Behavior Analysis: A Practical Use Case

You can think what you want about Artificial Intelligence and Machine Learning, but one thing you can't deny that it's wider adoption is just around the corner. The prediction of customer behavior was always a tricky task for marketers all over the world. But now, with AI/ML innovations that get on the…

Continue

Added by Roman Chuprina on January 16, 2020 at 12:00pm — No Comments

Speed up your R Work

This article was written by John Mount.

 

Introduction

In this note we will show how to speed up work in R by partitioning data and process-level parallelization. We will show the technique with three different R packages: rqdatatable, data.table,…

Continue

Added by Andrea Manero-Bastin on August 6, 2019 at 5:00am — No Comments

The Math of Decision Trees, Random Forest and Feature Importance in Scikit-learn and Spark

This article was written by Stacey Ronaghan.

Introduction

This post attempts to consolidate information on tree algorithms and their implementations in…

Continue

Added by Andrea Manero-Bastin on July 4, 2019 at 5:00am — No Comments

Univariate Analysis – A Key to the Mystery Behind Data!

Exploratory Data Analysis or EDA is that stage of Data Handling where the Data is intensely studied and the myriad limits are explored. EDA literally helps to unfold the mystery behind such data which might not make sense at first glance. However, with detailed analysis, we can use the same data to provide miraculous results which can help boost large scale business decisions with excellent accuracy. This not only helps business conglomerations to evade likely pitfalls in the future but also…

Continue

Added by Divya Singh on July 4, 2019 at 7:30pm — No Comments

Trends in Artificial Intelligence and Data Science for 2020

We begin the month of February of this special year 2020 with an analysis of the trends that gurus worldwide have made about what has to come to us in this year related to Artificial Intelligence and Data Science. For this I have made a infographic to summarize all these trends and I leave you different links with more information. I hope they are of your interest and we can continue expanding these trends with your contributions in the comments of the post!…

Continue

Added by Noelia Gonzalez Rodriguez on February 2, 2020 at 2:30am — No Comments

7 Reasons to Choose Java for Blockchain Technology

Blockchain technology has taken the IT world by storm. It has the potential to change the digital world completely, including the way businesses operate and make transactions. Initially, it was used to handle cryptocurrencies such as Bitcoin. Today, numerous business applications across domains use Blockchain as their central component.

However, Blockchain is still at an evolving stage, and its adoption is slow in most industries. Toward this, a programming language like Java can help…

Continue

Added by Ryan Williamson on January 31, 2020 at 12:30am — No Comments

Difference between Data Analysis and Statistical Analysis

Fifty years, ago, the lines between "data analysis" and "statistical analysis" were pretty clear. But as data analysis evolved, those lines became blurred. The differences between the two terms are now very much a grey area, but there are still a few notable differences.

What is "Data Analysis"?

Data scientists and statisticians typically define "data analysis" in different ways.

  • For a data scientist,data analysis is sifting…
Continue

Added by Stephanie Glen on January 31, 2020 at 3:30am — No Comments

Machine Learning Mindmap

Machine learning (ML) is a hot topic nowadays. Everyone speaks about the new programming paradigm, models are implemented in very different domains, more and more startups are relying mainly on ML. 

At the same time, machine…

Continue

Added by Igor Bobriakov on January 28, 2020 at 8:12am — No Comments

Understanding How to Transform Your Economic Value Curve

The Economic Value Curve is a measure of the relationship between a dependent variable and independent variables to achieve a particular outcome such as retain customers, increase operational uptime, or optimize inventory. The Economic Value Curve measures the impact that increasing or decreasing one of the independent variables has on the dependent variable. In Figure 1, for example, if we want to improve the dependent variable “Uptime %” then we need to spend more on the independent…

Continue

Added by Bill Schmarzo on January 30, 2020 at 11:30am — No Comments

Why Big Companies Struggle with Angular and Tips to Master it

When it comes to dealing with development and software, companies primarily have quite similar goals. All of them want the code to be consistent and self-documenting among other things. However, when Angular enters the picture, and it is when the scenario becomes exceptionally challenging. It can be associated with the fact that prominent the organization, more significant will be the number of developers they have working on various apps. For a company, that means they must spell out as…

Continue

Added by Ryan Williamson on January 30, 2020 at 1:30am — No Comments

What AI thinks about AI

What do chatbots think  about artificial intelligence?

 

If you ever have some moments…

Continue

Added by Vincenzo Parrilla on January 27, 2020 at 11:10am — No Comments

Featured Monthly Archives

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

Videos

  • Add Videos
  • View All

© 2020   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service