KDnuggets Home » News » 2018 » Jun » Top Stories, Tweets » Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code ( 18:n24 )

Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code


 
 
Tags:

Also: Cartoon: 5 Machine Learning Projects You Should Not Overlook, June 2018; FIFA World Cup Football and Machine Learning; The What, Where and How of Data for Data Science; Data Lake the evolution of data processing


Most Popular Last Week

  1. new Data lakes Data Lake – the evolution of data processing, by Nebojsa Arezina
  2. new 5 Machine Learning Projects You Should Not Overlook, June 2018, by Matthew Mayo
  3. new 10 More Free Must-Read Books for Machine Learning and Data Science
  4. new A Beginners Guide to the Data Science Pipeline
  5. new The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
  6. new Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
  7. new Command Line Tricks For Data Scientists

Most Shared Last Week

  1. Data Lake – the evolution of data processing, by Nebojsa Arezina - Jun 14, 2018.
  2. Wrapper methods Generating Text with RNNs in 4 Lines of Code, by Matthew Mayo - Jun 14, 2018.
  3. Cartoon: FIFA World Cup Football and Machine Learning - Jun 16, 2018.
  4. The What, Where and How of Data for Data Science - Jun 12, 2018.
  5. 5 Machine Learning Projects You Should Not Overlook, June 2018 - Jun 12, 2018.
  6. How To Create Natural Language Semantic Search For Arbitrary Objects With Deep Learning - Jun 13, 2018.
  7. IoT on AWS: Machine Learning Models and Dashboards from Sensor Data - Jun 15, 2018.

Most Popular Past 30 Days

  1. new Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis
  2. new 10 More Free Must-Read Books for Machine Learning and Data Science
  3. new A Beginners Guide to the Data Science Pipeline
  4. decrease Data Science vs Machine Learning vs Data Analytics vs Business Analytics
  5. decrease Why so many data scientists are leaving their jobs
  6. new The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R?
  7. new DIY Deep Learning Projects

Most Shared Past 30 Days

  1. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis - May 22, 2018.
  2. 10 More Free Must-Read Books for Machine Learning and Data Science - May 28, 2018.
  3. Top 20 R Libraries for Data Science in 2018 - May 25, 2018.
  4. Data Lake – the evolution of data processing - Jun 14, 2018.
  5. A Beginners Guide to the Data Science Pipeline - May 29, 2018.
  6. ETL vs ELT: Considering the Advancement of Data Warehouses - May 22, 2018.
  7. The 6 components of Open-Source Data Science/ Machine Learning Ecosystem; Did Python declare victory over R? - Jun 06, 2018.



Top Stories Past 30 Days

Most Popular
  1. 9 Must-have skills you need to become a Data Scientist, updated
  2. Another 10 Free Must-Read Books for Machine Learning and Data Science
  3. How to Setup a Python Environment for Machine Learning
  4. Python Data Science for Beginners
  5. Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms
  6. What no one will tell you about data science job applications
  7. Asking Great Questions as a Data Scientist
Most Shared
  1. Artificial Neural Network Implementation using NumPy and Image Classification
  2. Another 10 Free Must-Read Books for Machine Learning and Data Science
  3. How to Setup a Python Environment for Machine Learning
  4. 19 Inspiring Women in AI, Big Data, Data Science, Machine Learning
  5. Who is a typical Data Scientist in 2019?
  6. Running R and Python in Jupyter
  7. The Pareto Principle for Data Scientists

KDnuggets Home » News » 2018 » Jun » Top Stories, Tweets » Top Stories, Jun 11-17: Data Lake – the evolution of data processing; Generating Text with RNNs in 4 Lines of Code ( 18:n24 )

Get KDnuggets, a leading newsletter on AI, Data Science, and Machine Learning
Sign Up