Tag

data science

Computing Travel Probabilities Using Matrix Multiplication

From Data Science Bookcamp by Leonard Apeltsin

This article discusses how to model a traffic simulation and compute travel probability.

Basic Probability and Statistical Analysis Using SciPy

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 →

Rapid Data-Driven Sales Maximization and Churn Reduction

In this extensive coding session, Carl Gold–chief data scientist at Zuora Inc.–explains why fighting churn is all about targeted interventions.

Azure Data Lake Analytics – Writing and Running Jobs

In this video, seasoned IT professional Richard Nuckolls dives into writing and running Azure Data Lake Analytics jobs.

Essential Tools for Deep Learning and Data Science

Learn the most important tools in the repertoire of a data scientist and machine learning practitioner – Principal Component Analysis (PCA), Singular Value Decomposition (SVD), and Latent Semantic Analysis (LSA) – with the help of Krishnendu Chaudhury.

NLP Analysis of Large Text Datasets: conducted by Dr. Leonard Apeltsin

In this video, Dr. Leonard Apelstin demonstrates xClustering Large Text Datasets in Python.

The Practical Guide to Data Leadership

From Become a Leader in Data Science by Jike Chong and Yue Cathy Chang

Achieving Loose Coupling

From Practices of the Python Pro by Dane Hillard

This article covers

•  Recognizing the signs of tightly coupled code

•  Strategies for reducing coupling

Flexible and Scalable Data Analysis

From PySpark in Action by Jonathan Rioux

What Makes Code Extensible and Flexible?

From Practices of the Python Pro by Dane Hillard

This article covers

  • Using inversion of control to make code flexible
  • Using interfaces to make code extensible
  • Adding new features to your existing code

© 2021 Manning — Design Credits