Newsletter Subject

30 questions to test a data scientist on deep learning

From

datacamp.com

Email Address

team@datacamp.com

Sent On

Tue, Aug 8, 2017 01:37 PM

Email Preheader Text

Using TensorFlow to detect bats! DataCamp Weekly Issue #9 ? August 8, 2017 Happy Tuesday! Another

Using TensorFlow to detect bats! [DataCamp]( DataCamp Weekly Issue #9 ― August 8, 2017 Happy Tuesday! Another week, another dose of data science. This week we’re focusing on deep learning, better plotting, TensorFlow to detect bats and much more. We hope you enjoy it! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. --------------------------------------------------------------- Projects & Resources [Essential Cheat Sheets for Machine Learning and Deep Learning Engineers]( To start off, here’s a useful post of interesting cheat sheets for ML and Deep Learning. Featuring a good amount of DataCamp cheat sheets. Check it out! [startupsventurecapital.com]( [30 Questions to test a Data Scientist on Deep Learning (Solution – Skill test, July 2017)]( Ever wonder how your knowledge of Deep Learning compares to others? Here are 30 questions to test a Data Scientist on Deep Learning - with score distribution as well as solutions so you can see how you compare with other test takers. [analyticsvidhya.com]( [Harry Plotter: Celebrating the 20 year anniversary with tidytext and the tidyverse in R]( Did you know Harry Potter was an avid plotter? Not really, but this tidytext and tidyverse analysis walkthrough will teach you how to become a true wizard plotter. [paulvanderlaken.com]( [Years as coloured bars]( According to this post, plotting years as color bars is not the way to go. So, what would ggplot2 do? Find out in this interesting blog post. [nsaunders.wordpress.com]( [Detecting bats by recognising their sound with Tensorflow]( How to detect the presence of a bat with an ultrasound sensor. Not the most common problems people face but nonetheless a fascinating real-world use case for TensorFlow. Must read. [pinchofintelligence.com]( [The AI Hierarchy of Needs]( While AI and Deep Learning is the holy grail for a lot of businesses these days, the path to reach the top is long and less talked about. This insightful post details the data infrastructures and components needed to benefit from AI/Deep Learning. [hackernoon.com]( In The News [What is hardcore data science – in practice?]( Originally a tool for scientific research to understand human intelligence and create artificial intelligence, data science has proven it can add real business value. But what is hardcore data science? Deep dive into how Zalando uses data science practically. [kdnuggets.com]( [Prodigy: A new tool for radically efficient machine teaching]( Interesting product launched last week, a data annotation tool using Machine Learning called Prodigy. There’s a lot of effort to build tools to annotate and label data these days. More to come in this sector? [explosion.ai]( [When not to use deep learning]( There’s plenty of writing about the benefits of Deep Learning, when to take advantage of this new technology etc. But this one is different. Here you’ll get a better view of DL misconceptions and when not to use it. [kdnuggets.com]( [Teenage Whiz Kid Invents an AI System to Diagnose Her Grandfather's Eye Disease]( The fascinating story of a teenager building an app to replace expensive medical equipment to diagnose retinopathy. [spectrum.ieee.org]( [Train your Deep Learning model faster and sharper: Snapshot Ensembling — M models for the cost of 1]( This post goes over a novel Snapshot Ensembling method to increase Deep Learning model accuracy. [kdnuggets.com]( Elsewhere - [Elegant correlation table using xtable R package]( - [A Beginner’s Guide to Optimizing Pandas Code for Speed]( - [An end to end implementation of a Machine Learning pipeline]( - [Text categorization with deep learning, in R]( - [A modern database interface for R]( - [packagesurvey: Navigating the R package universe]( Jobs - [Data Scientist at Tronc, Los Angeles]( - [Financial Analyst/Modeler at MD Helicopters, Mesa, AZ]( - [Data Analyst at FutureTrack Edutech, Mumbai, India]( --------------------------------------------------------------- That's all for now. Have a great week! DataCamp Inc. 2067 Massachusetts avenue Cambridge MA 02140 [Unsubscribe](

Marketing emails from datacamp.com

View More
Sent On

08/11/2024

Sent On

29/10/2024

Sent On

03/10/2024

Sent On

01/10/2024

Sent On

30/09/2024

Sent On

24/09/2024

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.