KDnuggets™ News 16:n24, Jul 6: Text Mining 101; Softmax and Logistic Regression; Data Mining History: Support Vector Machines
What is Softmax Regression and How is it Related to Logistic Regression; Text Mining 101: Topic Modeling; Data Mining History: The Invention of Support Vector Machines; Mining Twitter Data with Python Part 5: Data Visualisation Basics
Features | Tutorials | Opinions | News | Courses | Meetings | Jobs | Academic | Quote
Features
- What is Softmax Regression and How is it Related to Logistic Regression?
- Text Mining 101: Topic Modeling
- Data Mining History: The Invention of Support Vector Machines
- Mining Twitter Data with Python Part 5: Data Visualisation Basics
- Three Impactful Machine Learning Topics at ICML 2016
- Top KDnuggets tweets, Jun 22-28: #Bayesian #Statistics explained in Simple English; Brexit
Tutorials, Overviews, How-Tos
- A Brief Primer on Linear Regression - Part III
- Mining Twitter Data with Python Part 6: Sentiment Analysis Basics
- Recursive (not Recurrent!) Neural Networks in TensorFlow
- Peeking Inside Convolutional Neural Networks
Opinions
- Getting Started with Analytics: What's the Upfront Investment?
- Determining the Economic Value of Data
News
- Top June stories: The Difference Deep Learning and "Regular" Machine Learning? R, Python duel as top Data Science tools.
- Top /r/MachineLearning Posts, June: Microsoft Videos, Machine Learning Training Pathway, Free Books!
- Academic/Research positions in Business Analytics, Data Science, Machine Learning in June
- Top Stories, June 27 - July 3: Big Data Ecosystem is Too Damn Big; 5 More Machine Learning Projects You Can't Overlook
Courses
Meetings
- NLP, Sentiment Analysis, Consumer and Market Insights at SAS16
- Upcoming Meetings in Analytics, Big Data, Data Mining, Data Science, Machine Learning: July and Beyond
Jobs
- Altria: Senior Analyst, Consumer & Marketplace Insights
- Jimdo: Data Scientist
- Jimdo: Data Engineer
- British Geological Survey: Senior Data Scientist
Academic
Quote
"To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of." Ronald Fisher
