KDnuggets Home » News » 2017 » Jul » News, Features » Top Stories Jul 3-9: Applying Deep Learning to Real-world Problems; Advice to your younger Data Scientist Self? ( 17:n26 )

Top Stories Jul 3-9: Applying Deep Learning to Real-world Problems; Advice to your younger Data Scientist Self?


Also Top 15 Python Libraries for Data Science in 2017; Apache Flink: The Next Distributed Data Processing Revolution?



Most Popular Last Week

  1. Pre-training for Deep Learning Applying Deep Learning to Real-world Problems, by Rasmus Rothe
  2. The 10 Algorithms Machine Learning Engineers Need to Know, by James Le
  3. Top 15 Python Libraries for Data Science in 2017
  4. new Getting Started with Python for Data Analysis
  5. 10 Free Must-Read Books for Machine Learning and Data Science
  6. Text Clustering: Get quick insights from Unstructured Data
  7. new Apache Flink: The Next Distributed Data Processing Revolution?


Most Shared Last Week

  1. Data ScienceWhat Advice Would You Give Your Younger Data Scientist Self?, by Matthew Mayo, - Jul 5, 2017.
  2. Apache Flink: The Next Distributed Data Processing Revolution?, by Kevin Jacobs - Jul 5, 2017.
  3. Getting Started with Python for Data Analysis - Jul 5, 2017.
  4. How Feature Engineering Can Help You Do Well in a Kaggle Competition, Part 3 - Jul 4, 2017.
  5. Text Clustering : Quick insights from Unstructured Data, part 2 - Jul 4, 2017.
  6. Exploratory Data Analysis in Python - Jul 7, 2017.
  7. Upcoming Meetings in Analytics, Big Data, Data Science, Machine Learning: July and Beyond - Jul 8, 2017.