Share your knowledge with other professionals, be respected as an expert in the leading community for data science, stats, BI, operations research, and machine learning practitioners. Or find answers to your business, technical, or career questions. We have thousands of questions posted in our revamped forum section, covering all topics, and usually related to applications: You can reply, contact the authors, post a comment, or ask a new question.

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**Sample forum questions **

Career Related

- ML Math Skills
- Are you smart enough to work at Google?
- What tools can make data scientists more productive?
- Transition between developer and data scientist
- Does it really matter from which college you graduated
- Which courses should I Take?
- Being a Data Science Contractor - UK: How to find work?
- Master's Program Resume
- Research Problem for PhD Student
- What pays most: R, Python, or SQL?

General and Business

- Which classifier has the best performance?
- Java versus Python
- Best method for revenue and sales forecasting
- Which one is best: R, SAS or Python, for data science?
- Is Python or Perl faster than R?
- What is Map-Reduce?
- Two very cool maps: how were they produced?
- Machine Learning Algorithm to Trade Bitcoin
- 8 Types of Data
- What are the differences between prediction, extrapolation, and int...
- More Free Data Sets
- 27 criteria to choose analytic tools
- Is it better to overpredict, or underpredict?
- What are some Data Scientist KPI's?
- Correlation vs. causation
- What is the difference between statistical computing and data mining?
- Regression Trees - What is the best reference?
- Attribution Modeling vs Market Mix Modeling
- How are hotel room rates determined

Technical

- 40-year old trick to clean data efficiently - and perform fuzzy matching
- High Precision Computing in Python or R
- K Means Clustering - Effect of random seed
- Anomaly detection in Time Series Data - Help Required
- Regression Analysis
- Python (and R) for Data Science - sample code, libraries, projects, tutorials
- 1.5 TB dataset of anonymized user interactions released by Yahoo
- Correlation Coefficient in Flat Line Model
- Constraint in a Linear Regression Algorithm
- Time series comparison
- Too many variables for a simple linear computation
- Addressing very low event rate for Logistic Regression
- Generalized Coefficient of Correlation for Non-Linear Relationships
- Handling Imbalanced data when building regression models
- How do I forecast a timeseries of data using GARCH(1,1)?
- Oversampling/Undersampling in Logistic Regression
- Discriminant Analysis on Categorical Variables
- Cluster analysis with categorical variables ?
- Linearity assumption in Linear Regression
- Outlier detection using cluster analysis
- Clustering idea for very large datasets

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