) KDnuggets™ News 17:n21, May 31: Python Machine Learning Workflows from Scratch; Machine Learning Crash Course
Tags: Data Preparation, Data Science, Data Science Platform, Data Scientist, Machine Learning, Python
Machine Learning Workflows in Python from Scratch Part 1: Data Preparation; Machine Learning Crash Course: Part 1; An Introduction to the MXNet Python API; How A Data Scientist Can Improve Productivity; Data science platforms are on the rise and IBM is leading the way
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Features
- Machine Learning Workflows in Python from Scratch Part 1: Data Preparation
- Machine Learning Crash Course: Part 1
- An Introduction to the MXNet Python API
- Data science platforms are on the rise and IBM is leading the way
- How A Data Scientist Can Improve Productivity
- Predictive Analytics Times - This month's content
Software
- Machine Learning Anomaly Detection: The Ultimate Design Guide
- DataScience.com Releases Python Package for Interpreting the Decision-Making Processes of Predictive Models
Tutorials, Overviews, How-Tos
- Data preprocessing for deep learning with nuts-ml
- Qualitative Research Methods for Data Science?
- Must-Know: How to determine the influence of a Twitter user?
- What is an Ontology? The simplest definition you'll find... or your money back*
- Unsupervised Investments (II): A Guide to AI Accelerators and Incubators
Text Mining 101: Mining Information From A Resume
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- Top Stories, May 22-28: Analytics, Data Science, Machine Learning Software Poll Results; Machine Learning Crash Course
- Top KDnuggets tweets, May 17-23: Beginner Guide To Understanding Convolutional Neural Networks; Big Data 2017: Top Influencers and Brands
Courses
- Learn to turn data into revenue at Wharton
- Live Immersive Predictive Analytics and Data Science Experiential Training.
Meetings
- Predictive Analytics Times - This month's content
- The Evolving Science of Sentiment and Emotion AI, Sentiment Analysis Symposium, June 27-28
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How A Data Scientist Can Improve Productivity
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