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Spark + Deep Learning: Distributed Deep Neural Network Training with SparkNet
Training deep neural nets can take precious time and resources. By leveraging an existing distributed batch processing framework, SparkNet can train neural nets quickly and efficiently.
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Top /r/DataScience Posts, November: Open source Plot.ly, Pokemon (?), Social analysis with R
November on /r/DataScience: Plot.ly is open sourced, Pokemon and Big Data games, a new social network analysis package for R, insider information on landing a Google Data Scientist job, and a free data science curriculum.
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Top /r/MachineLearning Posts, November: TensorFlow, Deep Convolutional Generative Adversarial Networks, and lolz
In November on /r/MachineLearning, we've got a good laugh, a fantastic image-generating convolutional generative adversarial network, and a whole lot of Google TensorFlow.
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7 Steps to Mastering Machine Learning With Python
By Matthew Mayo, KDnuggets on November 19, 2015 in 7 Steps, Anaconda, Caffe, Deep Learning, Machine Learning, Matthew Mayo, Python, scikit-learn, TheanoThere are many Python machine learning resources freely available online. Where to begin? How to proceed? Go from zero to Python machine learning hero in 7 steps!
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TensorFlow Disappoints – Google Deep Learning falls shallow
Google recently open-sourced its TensorFlow machine learning library, which aims to bring large-scale, distributed machine learning and deep learning to everyone. But does it deliver?
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Top /r/MachineLearning Posts, October: Machine learning video course, neural nets evaluate selfies
Machine learning video lectures, deep nets evaluate selfies, Google focusing on machine learning, DeepMind's huge text dataset made available, implement a recurrent neural net, and open source face recognition with Google's FaceNet.
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The Data Science Machine, or ‘How To Engineer Feature Engineering’
MIT researchers have developed what they refer to as the Data Science Machine, which combines feature engineering and an end-to-end data science pipeline into a system that beats nearly 70% of humans in competitions. Is this game-changing?
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Top 5 arXiv Deep Learning Papers, Explained
Top deep learning papers on arXiv are presented, summarized, and explained with the help of a leading researcher in the field.
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Top 10 Quora Data Science Writers and Their Best Advice
Top Quora data science writers give their advice on pursuing a career in the field, approaching interviews, and selecting appropriate technologies.
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Matthew Mayo (@mattmayo13) holds a Master's degree in computer science and a graduate diploma in data mining. As Editor-in-Chief of KDnuggets, Matthew aims to make complex data science concepts accessible. His professional interests include natural language processing, machine learning algorithms, and exploring emerging AI. He is driven by a mission to democratize knowledge in the data science community. Matthew has been coding since he was 6 years old.
