Becoming a Data Scientist

Issue #63. Comparing Keras and TensorFlow. 7 resume tips for early analytics careers. Tensors with PyTorch. Understanding boxplots and much more!  [DataCamp](  ISSUE #63 — SEPTEMBER 20, 2018  We're excited to share our Community content this week! Starting with a comparison of Keras and TensorFlow for deep neural networks, followed by 7 resume tips for early analytics careers, tensors with PyTorch, understanding boxplots and much more! As usual, we also have a brand new podcast episode this week! What are the paths to becoming a data scientist, common data scientist profiles, and how to figure out which ones may be a fit for you? Find out in episode 40 of DataFramed, where Hugo Bowne-Anderson speaks with Renée Teate from HelioCampus! [Listen Now](  Community Top Posts  [1]( [Is Keras more efficient than TensorFlow on Deep Neural Networks?](  KERAS  |  Posted by rizwankhan19  [Upvotes]( 10 In the previous module, we implemented a neural network application on E-commerce data set. Now, we will build the same application using Keras. In this module, we will learn that building a neural network application using Keras is much simpler compared to TensorFlow.  [2]( [Deep Learning: Artificial Neural Network Using TensorFlow In Python](  TENSORFLOW  |  Posted by virajb  [Upvotes]( 9 In this article, we develop a Machine Learning technique called Deep Learning (Artificial Neural Network) by using Tensorflow and predicting stock price in Python.  [3]( [Deduce the Number of Layers and Neurons for ANN](  NEURAL NETWORKS  |  Posted by ahmedfgad  [Upvotes]( 9 There is an optimal number of hidden layers and neurons for an artificial neural network (ANN). This tutorial discusses a simple approach for determining the optimal numbers of layers and neurons for ANN's.  [4]( [How to predict output with only examples without any ML model?](  KNN  |  Posted by rizwankhan19  [Upvotes]( 9 K Nearest Neighbor is the simplest supervised machine learning algorithm. KNN is not explicitly learning a model and predicting the output by looking all the exampled together. It makes the algorithm simple with minimal training phase.  [5]( [7 More Resume Tips for Early Career Analytics Professionals](  CAREER  |  Posted by lindaburtch  [Upvotes]( 8 Our experts tackle common resume questions from analytics professionals including how to communicate your analytics experience effectively, how to write resume bullets, and what to include (or not include) when it comes to hobbies and side data projects.  [6]( [Investigating Tensors with PyTorch](  PYTHON  |  Posted by spsayakpaul  [Upvotes]( 7 In this tutorial, you'll learn about Tensors, PyTorch, and how to create a simple neural network with PyTorch.  [7]( [Understanding Boxplots](  STATISTICS  |  Posted by codi  [Upvotes]( 7 A boxplot is a standardized way of displaying the distribution of data based on a five number summary (minimum, first quartile (Q1), median, third quartile (Q3), and maximum). It can tell you about your outliers and what their values are. It can also tell you if your data is symmetrical and more.  [8]( [Data Science at Stitch Fix (with Eric Colson)](  DATAFRAMED  |  Posted by hugobowne  [Upvotes]( 6 Hugo speaks with Eric Colson, Chief Algorithms Officer at Stitch Fix.  [9]( [Machine Learning eCommerce: How It Is Redefining Retail And Sales](  MACHINE LEARNING  |  Posted by bhargavavanhishikha  [Upvotes]( 6 The eCommerce industry is growing across the world. From what started as a few stores that enabled online shopping; today, the smallest of brands are able to take their products online and market them to a large consumer base.   [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