Learn how AI-assisted coding using ChatGPT and GitHub Copilot can dramatically increase your productivity using regular expressions.
This article delves into how Machine Learning algorithms interact with data and the importance of preserving data privacy.
Read it if you’re a machine learning engineer, or a developer building around machine learning.
If you want to excel in ML and deep learning, you need to know more than how to implement the algorithms—you need to know them inside-out. This book delves into selected algorithms and teaches you how to build your own from scratch.
This article introduces the concept and definition of differential privacy.
Read it if you’re a machine learning engineer, or a developer building around machine learning.
In case you missed it, here is Jike Chong and Yue Cathy Chang’s live Twitch coding stream recap. For more, check out the book: How to Lead in Data Science. For more live coding streams, subscribe to Manning’s Twitch channel… Continue Reading →
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
