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Top Stories, Jun 24-30: Understanding Cloud Data Services; 7 Steps to Mastering Data Preparation for Machine Learning with Python — 2019 Edition


Also: How To Get Funding For AI Startups; Optimization with Python: How to make the most amount of money with the least amount of risk?; 5 Useful Statistics Data Scientists Need to Know; Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS



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  1. new Cloud services Understanding Cloud Data Services, by Charlie Crocker
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  3. new 5 Useful Statistics Data Scientists Need to Know
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  5. new Optimization with Python: How to make the most amount of money with the least amount of risk?
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  1. Data prep in 7 steps 7 Steps to Mastering Data Preparation for Machine Learning with Python — 2019 Edition, by Matthew Mayo - Jun 24, 2019.
  2. Understanding Cloud Data Services, by Charlie Crocker - Jun 24, 2019.
  3. How To Get Funding For AI Startups - Jun 27, 2019.
  4. Optimization with Python: How to make the most amount of money with the least amount of risk? - Jun 26, 2019.
  5. The Data Fabric for Machine Learning Part 2: Building a Knowledge-Graph - Jun 25, 2019.
  6. An Overview of Human Pose Estimation with Deep Learning - Jun 28, 2019.
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  5. new Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS
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  1. Data Science Jobs Report 2019: Python Way Up, TensorFlow Growing Rapidly, R Use Double SAS - Jun 17, 2019.
  2. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition - Jun 03, 2019.
  3. Top 10 Statistics Mistakes Made by Data Scientists - Jun 07, 2019.
  4. How to Learn Python for Data Science the Right Way - Jun 14, 2019.
  5. 5 Useful Statistics Data Scientists Need to Know - Jun 14, 2019.
  6. Jupyter Notebooks: Data Science Reporting - Jun 06, 2019.
  7. 7 Steps to Mastering Data Preparation for Machine Learning with Python — 2019 Edition - Jun 24, 2019.

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