Top KDnuggets tweets, Mar 10-11: Deep Learning overview, free book; Best machine learning interview questions
Deep Learning: Methods and Application, free book from Microsoft; Best interview questions to evaluate a machine learning researcher; Good list of Machine Learning Libraries in Python: scikit-learn, pandas, Theano, NLTK.
@KDnuggets tweets for Mar 10-11 were
Most viewed:
Best interview questions to evaluate a machine learning researcher, from @peteskomoroch buff.ly/1lT1qJ5
Most Retweeted:
Sometimes outliers are real data - US #HealthCare/Capita spending is a huge outlier buff.ly/1lTkd7b
Most Favorited:
Good list of Machine Learning Libraries in Python: scikit-learn, pandas, Theano, NLTK, Pylearn2, and more buff.ly/1lTj6nR
Top 10 Tweets
Most viewed:
Best interview questions to evaluate a machine learning researcher, from @peteskomoroch buff.ly/1lT1qJ5
Most Retweeted:
Sometimes outliers are real data - US #HealthCare/Capita spending is a huge outlier buff.ly/1lTkd7b
Most Favorited:
Good list of Machine Learning Libraries in Python: scikit-learn, pandas, Theano, NLTK, Pylearn2, and more buff.ly/1lTj6nR
Top 10 Tweets
- Deep Learning: Methods and Application, free book from Microsoft, an overview of the hottest #MachineLearning method buff.ly/1lqFBh2
- Best interview questions to evaluate a machine learning researcher, from @peteskomoroch buff.ly/1lT1qJ5
- Advanced Data Science: Deep Learning Methods and Applications, 134 page book from Microsoft - free download buff.ly/1fkSKHZ
- Good list of Machine Learning Libraries in Python: scikit-learn, pandas, Theano, NLTK, Pylearn2, and more buff.ly/1lTj6nR
- Sometimes outliers are real data - US #HealthCare/Capita spending is a huge outlier buff.ly/1lTkd7b
- Cloudera Data Science Challenge bit.ly/1crEQ7d
- Data Mining the Internet Archive Collection with #Python - great for digital historian buff.ly/1iwNbVA
- Sentiment Analysis Symposium Highlights bit.ly/1lv458J
- "German is for lovers. Angry lovers. Of grammar" and more gems from @NeinQuarterly buff.ly/1lTdFFs
- Dancing Statistics - who says statistics cannot be fun? bit.ly/1qqpDqV
