From DataScience Bookcamp by Leonard Apeltsin This article covers: • Analysis of Binomials using the SciPy library. Take 40% off Data Science Bookcamp by entering fccapeltsin into the discount code box at checkout at manning.com. Statistics is a branch of… Continue Reading →
In this extensive coding session, Carl Gold–chief data scientist at Zuora Inc.–explains why fighting churn is all about targeted interventions.
In this video, Dr. Leonard Apelstin demonstrates xClustering Large Text Datasets in Python.
From Grokking Artificial Intelligence Algorithms by Rishal Hurbans
What you’ll learn in this article:
§ The lifecycle of a genetic algorithm.
§ Designing and developing a genetic algorithm to solve problems.
§ The parameters for configuring a genetic algorithm lifecycle based on different scenarios, problems, and data sets.
From Grokking Artificial Intelligence Algorithms by Rishal Hurbans
From Data Science Bookcamp by Leonard Apeltsin
Six Questions for Jesse C. Daniel, author of Data Science with Python and Dask
Jesse Daniel is a software developer (Python, Scala, JavaScript, C#) who leads a team of data scientists at a media technology company. He has taught Python for Data Science at the University of Denver.
From Real-World Natural Language Processing by Masato Hagiwara
From Probabilistic Deep Learning with Python by Oliver Dürr, Beate Sick, and Elvis Murina
