) KDnuggets™ News 18:n45, Nov 28: Your Favorite Python IDE/editor? Intro to Data Science for Managers
Also: 6 Goals Every Wannabe Data Scientist Should Make for 2019; Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices.
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Vote in new KDnuggets Poll: What Python editors or IDEs you use the most?. Also see a very comprehensive chart in Intro to Data Science for Managers, check the 6 Goals for wannabe Data Scientists, find the secret sauce to be in the top 2% in Kaggle competitions, and learn a clever way to engineer your way out of slow Deep Learning models.
Features
Intro to Data Science for Managers
- What Python editors or IDEs you used the most in 2018?
- 6 Goals Every Wannabe Data Scientist Should Make for 2019
An Introduction to AI
- Using a Keras Long Short-Term Memory (LSTM) Model to Predict Stock Prices
- My secret sauce to be in top 2% of a Kaggle competition
Opinions
- How to Engineer Your Way Out of Slow Models
- Bringing Machine Learning Research to Product Commercialization
- Data Science Strategy Safari: Aligning Data Science Strategy to Org Strategy
- Top 5 domains Big Data analytics helps to transform
- Cartoon: Thanksgiving, Big Data, and Turkey Data Science.
- Autonomy - Do we have the choice?
Top Stories, Tweets
- Top Stories, Nov 19-25: What is the Best Python IDE for Data Science?; Intro to Data Science for Managers
- Top KDnuggets tweets, Nov 14-20: 10 Free Must-See Courses for Machine Learning and Data Science; Great list of #MachineLearning Resources
News
Webcasts and Webinars
Courses, Education
Meetings
Jobs
- Humana: Principal Data Scientist/Informatics Principal [Chicago, IL, Dallas, TX and Louisville, KY]
- Global Legal Entity Identifier Foundation (GLEIF): Data Analyst [Frankfurt, Germany]
- WPI: Post-Doctoral Fellow [Worcester, MA]
Academic
- Drexel University: 2 Teaching Faculty Positions in Data Science [Philadelphia, PA]
- Monash University: Lecturer/Sr Lecturer - Digital Health [Melbourne, Australia]
- Monash University: Research Fellow (Digital Civics) [Melbourne, Australia]
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Data Science for Managers
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