Newsletter Subject

Weekly Digest, November 6

From

datasciencecentral.com

Email Address

mail@newsletter.datasciencecentral.com

Sent On

Mon, Nov 6, 2017 04:48 PM

Email Preheader Text

Data Science Central Weekly Digest Monday newsletter published by Data Science Central. Previous edi

Data Science Central Weekly Digest 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. Announcements - U.S. Soccer - [Back-End Developer](. Manage interchange between server & user-side apps. Design, implementation of apps, writing web services & APIs. [Apply Now](. - [Front-End Development Specialist](. Oversee design, programming, & integration of web apps & platforms. Build, design, & execution of cloud-based enterprise web & mobile apps. [Apply Now](. - [Solution Architect](. Oversee & execute design of integrated data warehouse & pipelines. Long-term strategic design, cloud-based data architecture. [Apply Now](. Upcoming DSC Webinars and Resources - [Advanced Tool for Dynamic Visual Analytics]( (SAS) - Nov 30 - [Building a Compelling Argument with Data]( (Tableau) - Nov 14 - [Transform Your Business Insights with Streaming Analytics]( (IBM Whitepaper) Featured Resources and Technical Contributions - [Ranking Popular Deep Learning Libraries for Data Science]( - [Comparative Roundup: AI vs. Machine Learning vs. Deep Learning]( - [Andrew Ng: Nuts and Bolts of Building Deep Learning Applications]( - [Periodic Table of Binary Classification Performance Measures/Metrics]( - [Trend Analysis of Fragmented Time Series]( + - [Logistic Map, Chaos, Randomness and Quantum Algorithms]( - [13 Great Articles About K-Nearest-Neighbors And Related Algorithms]( - [Trying to define Python functions]( Featured Articles - [IIoT protocols for the beginners]( - [Artificial Intelligence is not “Fake” Intelligence]( - [Data Warehouse and Data Lake Analytics Collaboration]( - [Natural Language Understanding (NLU) in Enterprise]( - [Understanding Data Roles]( - [With Great Data Comes Great Responsibility]( - [Frankenstein's Data Scientist]( - [A View on the Difficulty of Stored Procedure Migration]( - [3 Theorems on the Economic Value of Data]( - [Risk is for Real if not Artificial Intelligence]( - [How to Create an Intelligent Company]( - [Ux + AI = Cognitive Ergonomics]( Picture of the Week Source for picture: contribution marked with a + Featured Jobs - [View All]( - [Find a Job]( - [Senior Research and Development Analyst - Mutual Benefit Group]( - [Distribution Analytics Associate - Invesco]( - [Data Scientist - National Geospatial-Intelligence Agency]( - [Solution Architect - U.S. Soccer]( - [IT Software Developer - National Geospatial-Intelligence Agency]( - [Digital Optimization Program Lead - Vail Resorts]( - [Data Steward - National Geospatial-Intelligence Agency]( - [Back-End Developer - U.S. Soccer]( - [Data Analyst - National Geospatial-Intelligence Agency]( - [HR Data Analytics Advisor - FedEx Express]( - [Front-End Development Specialist - U.S. Soccer]( - [Data Engineer - National Geospatial-Intelligence Agency]( - [Lecturer/Senior Lecturer in Discipline – Technology Management - Columbia University School of Professional Studies]( - [Digital Analytics Lead - Sainsbury's]( - [Lecturer in Discipline Positions Starting Fall 2018 - Columbia University School of Professional Studies]( - [Digital Analyst - Sainsbury's]( - [Lecturer/Senior Lecturer in Discipline in Applied Analytics - Columbia University School of Professional Studies]( - [Senior Data Scientist - Amazon Web Services]( - [Lead Data Analyst - Disney Parks & Resorts]( - [Software Engineer, Services - Under Armour]( - [Predictive Data Analyst - Costco Wholesale]( From our Sponsors - [Advance your Career in 18 months with an Online Master's in Analytics]( - [Becoming a Data Science Superhero]( - [Earn Your MS in Data Science Online at CUNY SPS]( Classifieds - [View All]( - [Personalized AI / Datascience tutoring courses – fintech and IoT]( - [Data Science, Statistics and Machine Learning Consulting]( - [DataSciCon.Tech - Data Science Conference Nov 30-Dec 1, 2017 Atlanta]( - [Analytics: How to win with Intelligence (eBook)]( - [Study Data Science (MS degree) at Maharishi University of Management]( - [Data Analysis and Machine Learning for Cybersecurity NY]( - [Artificial Intelligence for Marketing: Practical Applications]( --------------------------------------------------------------- [Videos]( | [Hire a Data Scientist]( | [Search DSC]( | [Classifieds]( | [Find a Job]( | [Post a Blog]( | [Ask a Question]( Follow us on Twitter: [@DataScienceCtrl]( | [@AnalyticBridge]( Data Science Central, 2428, 35th Ave NE, Issaquah, WA 98029, United States You may [unsubscribe]( or [change your contact details]( at any time.

Marketing emails from datasciencecentral.com

View More
Sent On

14/12/2021

Sent On

10/12/2021

Sent On

01/12/2021

Sent On

24/11/2021

Sent On

23/11/2021

Sent On

19/11/2021

Email Content Statistics

Subscribe Now

Subject Line Length

Data shows that subject lines with 6 to 10 words generated 21 percent higher open rate.

Subscribe Now

Average in this category

Subscribe Now

Number of Words

The more words in the content, the more time the user will need to spend reading. Get straight to the point with catchy short phrases and interesting photos and graphics.

Subscribe Now

Average in this category

Subscribe Now

Number of Images

More images or large images might cause the email to load slower. Aim for a balance of words and images.

Subscribe Now

Average in this category

Subscribe Now

Time to Read

Longer reading time requires more attention and patience from users. Aim for short phrases and catchy keywords.

Subscribe Now

Average in this category

Subscribe Now

Predicted open rate

Subscribe Now

Spam Score

Spam score is determined by a large number of checks performed on the content of the email. For the best delivery results, it is advised to lower your spam score as much as possible.

Subscribe Now

Flesch reading score

Flesch reading score measures how complex a text is. The lower the score, the more difficult the text is to read. The Flesch readability score uses the average length of your sentences (measured by the number of words) and the average number of syllables per word in an equation to calculate the reading ease. Text with a very high Flesch reading ease score (about 100) is straightforward and easy to read, with short sentences and no words of more than two syllables. Usually, a reading ease score of 60-70 is considered acceptable/normal for web copy.

Subscribe Now

Technologies

What powers this email? Every email we receive is parsed to determine the sending ESP and any additional email technologies used.

Subscribe Now

Email Size (not include images)

Font Used

No. Font Name
Subscribe Now

Copyright © 2019–2025 SimilarMail.