This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented and written in simple English. The entire series consists of about 120 articles. We intend to publish a new set every two weeks or so. This is the first edition. To read more articles from a same author, read one of his/her articles and click on his/her profile picture to access the full list. Some of these articles are curated or posted as guest blogs.
Selected Recent Articles from Top DSC Contributors
- Mathematics Optimization to Build Decision Making – By Jeefri A. Moka
- Machine Learning Skills Among Data Scientists – By Bob E. Hayes
- Exponential Smoothing of Time Series Data in R – By Jeffrey Strickland
- Designing the Data Management Infrastructure of Tomorrow – By Ronald van Loon
- Deep Learning in Action (the less-math-more-apps version) – By Sigrid Keydana
- From Data Analysis to Machine Learning – By Mubashir Qasim +
- Detecting and Visualising Clusterings Interaction Networks – By Paul Scherer
- New Trends in Artificial Intelligence & Machine Learning – By Hardik Gohil
- Text Clustering : Get quick insights from Unstructured Data – By Vivek Kalyanarangan
- Spectral Clustering – How Math is Redefining Decision Making – By Gaurav Agrawal
- The Periodic Table Of AI – By Kris Hammond
- Is deep learning a Markov chain in disguise? – By Brian Lee Yung Rowe
- Intuitive Machine Learning : Gradient Descent Simplified – By Roopam Upadhyay
- Using Machine Learning to Predict Customer Behaviour – By Alex Marandon
- Astronomy: Models of transits for Star KIC 8462852 – By Jose Solorzano
- Is Hadoop Failing? – By Richard Jackson
- Deep Learning Demystified – By Christopher Dole
- What Is the Future of Data Warehousing? – By Ronald van Loon
- Why R is Bad for You – By Bill Vorhies
- 140 Machine Learning Formulas – By Rubens Zimbres
Source for picture: articled flagged with a +
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