KDnuggets Home » News » 2018 » Jun » Top Stories, Tweets » Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline ( 18:n22 )

Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline


 
 
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Also: Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM; On the contribution of neural networks and word embeddings in NLP; Improving the Performance of a Neural Network; Python eats away at R


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  3. new A Beginners Guide to the Data Science Pipeline
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  1. 10 More Free Must-Read Books for Machine Learning and Data Science, by Matthew Mayo - May 28, 2018.
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  3. Descriptive analytics, machine learning, and deep learning viewed via the lens of CRISP-DM - May 29, 2018.
  4. On the contribution of neural networks and word embeddings in Natural Language Processing - May 31, 2018.
  5. Improving the Performance of a Neural Network - May 30, 2018.
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  7. How To Build Intelligent Dashboards Powered by Machine Learning - Jun 01, 2018.

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  4. new WTF is a Tensor?!?
  5. new 2018 KDnuggets Poll: What software you used for Analytics, Data Mining, Data Science, Machine Learning projects in the past 12 months?
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  1. Python eats away at R: Top Software for Analytics, Data Science, Machine Learning in 2018: Trends and Analysis - May 22, 2018.
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  3. 10 More Free Must-Read Books for Machine Learning and Data Science - May 28, 2018.
  4. WTF is a Tensor?!? - May 07, 2018.
  5. Top 20 R Libraries for Data Science in 2018 - May 25, 2018.
  6. 5 Reasons “Logistic Regression” should be the first thing you learn when becoming a Data Scientist - May 08, 2018.
  7. ETL vs ELT: Considering the Advancement of Data Warehouses - May 22, 2018.



KDnuggets Home » News » 2018 » Jun » Top Stories, Tweets » Top Stories, May 28 – Jun 3: 10 More Free Must-Read Books for Machine Learning and Data Science; A Beginners Guide to the Data Science Pipeline ( 18:n22 )

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