Beginning TensorFlow, why you should practice data science every day, deep learning with cats, and more! [DataCamp](
DataCamp Weekly
Issue #6 ― July 18, 2017
Hi everyone! We hope you had a nice weekend and a good start to your week. In this weekâs edition weâre covering TensorFlow, Text Classifiers, Data Product Managers, Deep Learning with cats and more! Enjoy!
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Projects & Resources
[TensorFlow Tutorial For Beginners](
TensorFlow is a popular and powerful machine learning framework that Google developed to design, build, and train deep learning models. This tutorial will introduce you to tensors, installing TensorFlow, basics, and getting your started on your own neural network model. Great walkthrough.
[datacamp.com](
[Reading Excel Spreadsheets with Python, Flask, and Openpyxl](
Read and analyze NBA statistics stored in Excel spreadsheet in this fun walkthrough. Dabble with Flask, Openpyxl and Twilio and amaze yourself with this project. From the Twilio blog.
[twilio.com](
[Entity Extraction and Network Analysis](
Using entity extraction and network analysis to make sense of a massive amount of unstructured text. This guide will help you generate a graph which you can use to analyze the network hidden in your dataset. Fascinating.
[brandonrose.org](
[Text Classifier Algorithms in Machine Learning](
Looking to go deeper into text classifiers? Data Scientist Roman Trusov writes about the main approaches of text classifier algorithms and their use cases. A collection of hands-on tutorials is linked with each example to help you build your own models.
[blog.statsbot.co](
[skimr for useful and tidy summary statistics](
Longing for a frictionless approach to quickly skim useful and tidy summary statistics as part of a pipeline? Check out the idea and reasoning behind skimr, a new package developed by rOpenSci.
[ropensci.org](
In The News
[How to Best Learn Data Science? 7 Reasons Why You Should Practice Daily.](
We released Practice Mode to help you learn data science. Here are 7 reasons why you should practice daily on DataCamp.
[datacamp.com](
[Google Stakes Its Future on a Piece of Software](
Not sure what the hype is all about with TensorFlow? Check out how and why Google is betting on TensorFlow to win the cloud-provider space.
[technologyreview.com](
[Rise of the Data Product Manager](
Eyeing a career change? Consider the job of the future: Data Product Manager. Data and machine learning are increasingly changing products and the way they interact with customers, a data product manager understands this.
[medium.com](
[useR! International R User 2017 Conference](
Looking for more useR content? Check out this collection of talks and presentations from useR 2017 in Brussels.
[channel9.msdn.com](
[I have data. I need insights. Where do I start?](
This article is about a lesser-known part of a data scientistâs job: how to show some ROI when asked for some insights out of a sea of data. This is a tough question that Rama Ramakrishnan, data scientist at Salesforce, brings some answers to in this post. Interesting read.
[medium.com](
Elsewhere
- [Geoms to make joy plots using ggplot2](
- [Deep learning with cats](
- [Very basic blockchain-free cryptocurrency PoC in Python](
Jobs
- [Data Mining Consultant, Bank of America, Boston](
- [Lead Data Scientist, Golden Rat Studios, Los Angeles](
- [Marketing Manager, RStudio, Anywhere](
Events
- [Vancouver Python User Group, July 18th, Vancouver](
- [Baltimore-python, July 19th, Baltimore](
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That's all for now. Have a great week!
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