How DataCamp does Data Science

Reality vs Expectations. How to choose deep learning framework. Pickle in Python. The scientific paper is obsolete. Start with the Tidyverse.  ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌ ‌  [DataCamp](  ISSUE #43 — APRIL 17, 2018  [DataCamp Weekly]( DataCamp Weekly Hi there - happy Tuesday. Below are some interesting data science articles and resources worth the read. Starting with how DataCamp does data science, Reality vs Expectations as a data scientist, mini-batch gradient descent, pickle in Python & much more! [Read More](  Community Top Posts  [1]( [Data Science at DataCamp](  DATACAMP  |  Posted by drobinson  [Upvotes]( 29 Two months after starting as Chief Data Scientist at DataCamp, David Robinson shares some thoughts on the role and the team's future.  [2]( [Data Scientist: Reality vs Expectations ($100k+ Starting Salary 2018)](  INTERVIEW  |  Posted by adrien  [Upvotes]( 12 A series of interviews with data scientists about their career and how that contrasts with their expectations. Some interesting insights here!  [3]( [Why So Many Data Scientists are Leaving their Jobs](  CAREER  |  Posted by jasongraham  [Upvotes]( 9 The title is somewhat misleading, this article isn't trying to discourage anyone from being a Data Scientist, quite the opposite. It's a breakdown of expectation vs reality in the Data Science world and how many companies want Data Scientists but don't have the infrastructure to support them.  [4]( [Why Use Mini-Batch Gradient Descent for Deep Learning Applications](  MACHINE LEARNING  |  Posted by rizwankhan19  [Upvotes]( 9 Instead of implementation of gradient descent on the entire training set, we can split our training set into smaller sets and implement gradient descent on each batch one after the other. It is called mini batch gradient descent and it makes the algorithm work faster especially for Deep Learning.  [5]( [How to Choose a Deep Learning Framework?](  AI  |  Posted by rizwankhan19  [Upvotes]( 9 This article will give an overview of deep learning frameworks and the criteria to select one of them.  [6]( [Pickle in Python: Object Serialization](  PYTHON  |  Posted by theov  [Upvotes]( 8 Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!  [7]( [The Scientific Paper Is Obsolete: Here's What's Next](  JUPYTER  |  Posted by jasongraham  [Upvotes]( 7 Fantastic article about the rise of interactive notebooks like Jupyter and the need for them.  [8]( [2018 Data Science Hiring Survey Results](  CAREER  |  Posted by lindaburtch  [Upvotes]( 7 After examining Attrition and Tenure of data scientists last year, we surveyed hiring managers to ask about their hiring intentions for the beginning of 2018. The results were interesting!  [9]( [Getting Started with the Tidyverse: Tutorial](  TIDYVERSE  |  Posted by hugobowne  [Upvotes]( 7 Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!  [10]( [Regular Expressions Every R programmer Should Know](  TIDYVERSE  |  Posted by colingillespie  [Upvotes]( 7 Regular expressions. How they can be cruel! This post discusses the key regular expressions for manipulating strings.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  That's all for now. Have a great week!   [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook]( [Twitter]( [LinkedIn]( [Instagram]( [YouTube](  [Download on the App Store]( [Get it on Google Play](  [Unsubscribe]( Â