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Top Stories, Dec 4-10: Using Deep Learning to Solve Real World Problems; Big Data: Main Developments in 2017 and Key Trends in 2018


Also: What is a Bayesian Neural Network?; Today I Built a Neural Network During My Lunch Break with Keras; 4 Common Data Fallacies That You Need To Know; Top 10 Machine Learning Algorithms for Beginners; The 10 Statistical Techniques Data Scientists Need to Master



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  1. Using Deep Learning to Solve Real World Problems, by Matthew Mayo - Dec 04, 2017.
  2. Big Data Big Data: Main Developments in 2017 and Key Trends in 2018, by Matthew Mayo - Dec 05, 2017.
  3. What is a Bayesian Neural Network? - Dec 05, 2017.
  4. Today I Built a Neural Network During My Lunch Break with Keras - Dec 08, 2017.
  5. 4 Common Data Fallacies That You Need To Know - Dec 05, 2017.
  6. Managing Machine Learning Workflows with Scikit-learn Pipelines Part 1: A Gentle Introduction - Dec 07, 2017.
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  1. A Framework for Approaching Textual Data Science Tasks - Nov 22, 2017.
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  4. Using Deep Learning to Solve Real World Problems - Dec 04, 2017.
  5. Why You Should Forget for-loop for Data Science Code and Embrace Vectorization - Nov 29, 2017.
  6. Automated Feature Engineering for Time Series Data - Nov 20, 2017.
  7. Understanding Deep Convolutional Neural Networks with a practical use-case in Tensorflow and Keras - Nov 29, 2017.

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