KDnuggets

Machine Learning Engineer was voted one of the best jobs in the U.S. in 2019. We have compiled a list of best (and free) machine learning books that will prove helpful for everyone aspiring to build a career in the field. There is no doubt that Machine Learning has become a popular topic nowadays.

24 Best (and Free) Books To Understand Machine Learning

If you’re looking to have a career in machine learning or a data scientist, below is a list of FREE e-books to help you achieve this. The list includes an Introduction to Machine Learning Interpretability by Patrick Hall and Navdeep Gill. If you have an interest in Natural Language Processing and you are proficient in Python - this book is for you.

15 Free Machine Learning and Deep Learning Books

Quastor Daily

How Canva Stores Tens of Billions of User Generated Media Canva is an online design platform with tens of millions of users. The company has more than 100 million monthly active users, who collectively upload more than 50 million new pieces of media (pictures, videos, logos, etc.) every day.

How Canva Stores Tens of Billions of User Generated Media

Feature engineering is the process of transforming raw data into informative features that improve the performance and interpretability of machine learning models. It involves selecting, extracting, and transforming raw data into meaningful representations that capture relevant patterns and relationships for predictive modeling. Readers can explore feature engineering techniques, such as encoding, scaling, and dimensionality reduction, for preprocessing structured and unstructured data, enhancing model accuracy and generalization performance in machine learning workflows.

Best of Feature Engineering — 2022