KDnuggets™ News 17:n22, Jun 7: 7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum?
7 Steps to Mastering Data Preparation with Python; Why Does Deep Learning Not Have a Local Minimum?; 7 Techniques to Handle Imbalanced Data; Which Machine Learning Algorithm Should I Use?; Is Regression Analysis Really Machine Learning?
Features | Software | Tutorials | Opinions | Interviews | News | Webcasts | Courses | Meetings | Jobs | Image of the Week
Features
Software
Tutorials, Overviews, How-Tos
Opinions
Interviews
News
Webcasts and Webinars
Courses
Meetings
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Image of the Week
From: Which Machine Learning Algorithm Should I Use?
Features
- 7 Steps to Mastering Data Preparation with Python
- Why Does Deep Learning Not Have a Local Minimum?
- 7 Techniques to Handle Imbalanced Data
- Which Machine Learning Algorithm Should I Use?
- Is Regression Analysis Really Machine Learning?
Software
Tutorials, Overviews, How-Tos
- Data Science for Newbies: An Introductory Tutorial Series for Software Engineers
- Deep Learning 101: Demystifying Tensors
- 6 Interesting Things You Can Do with Python on Facebook Data
- K-means Clustering with R: Call Detail Record Analysis
Opinions
Interviews
News
- TPOT Automated Machine Learning Competition: Can AutoML beat humans on Kaggle?
- Top Stories, May 29-Jun 4: Machine Learning Workflows in Python from Scratch; Machine Learning Algorithms Cheat Sheet
- Top KDnuggets tweets, May 24-30: #DataScience for Beginners; 10 Free Must-Read Books for #MachineLearning and #DataScience
Webcasts and Webinars
Courses
- NYU Stern MS in Business Analytics
- A Course in Semantic Technologies for Designing a Proof-of-Concept
Meetings
- Latest in Data and Analytics Training, Anaheim - 3 Steps to Convince Your Boss
- Predictive Analytics World NYC - Agenda announcement!
- Machine Intelligence Summit & Autonomous Vehicles Track, Amsterdam - KDnuggets Offer
- Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: June and Beyond
Jobs
Image of the Week
From: Which Machine Learning Algorithm Should I Use?
