Newsletter Subject

What's the difference between deep learning and active learning?

From

figure-eight.com

Email Address

ashley.skiles@figure-eight.com

Sent On

Thu, Jul 19, 2018 07:00 PM

Email Preheader Text

Webinar invitation - The Basics of Machine Learing Basics of Machine Learning Webinar Hello {NAME},

Webinar invitation - The Basics of Machine Learing Basics of Machine Learning Webinar Hello {NAME}, Wondering about the difference between deep learning and active learning? What about supervised versus unsupervised machine learning? And what does it all mean anyway? If you’re trying to get a handle on the basics of machine learning and AI, join our VP of Machine Learning Jennifer Prendki for a webinar that will take you through the major types of machine learning, as well as when and how you’d actually use them. [Webinar: Basics of Machine Learning]( Wednesday, July 25, 2018 10:00am-10:30am PDT [Register Here]( In this webinar, we will cover: - Unsupervised, supervised, and semi-supervised learning - Active learning - Reinforcement learning - Transfer learning Best regards, Ashley Skiles Marketing Manager | Figure Eight P.S. Want to attend the webinar but can't make it? Register anyway and receive access to the on-demand video after the presentation. Figure Eight does more than solve data problems. We combine the best of human and machine intelligence to collect, clean, and label data, no matter the size or complexity. Follow Us This email was sent to {EMAIL} [Update email preferences | Unsubscribe]( © 2018 Figure Eight Inc. – 940 Howard St, San Francisco, CA 94103, United States This email was sent to {EMAIL}. [Click here]( to manage your email preference settings. If you no longer wish to receive these emails you may [unsubscribe]( at any time.

Marketing emails from figure-eight.com

View More
Sent On

13/09/2018

Sent On

14/08/2018

Sent On

17/07/2018

Sent On

19/06/2018

Sent On

30/05/2018

Sent On

21/05/2018

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.