Slack engineering·4yRecommend API
Recommend API allows us to quickly bootstrap new recommendation use cases behind an API which is easily accessible to engineers at Slack. These recommenders reuse a common set of infrastructure for every part of the recommendation engine. This has allowed us to deliver a number of different recommendation models across the product, driving improved customer experience.
freeCodeCamp·4yMachine Learning for Everybody
The freeCodeCamp.org YouTube channel is the perfect place to start your learning journey. The course is an excellent introduction to many of the key machine learning concepts. You will also learn how to program different machine learning models on Google Collab. Google provided a grant that made this course possible.
KDnuggets·4y7 Tips for Python Beginners
Learn everything about Python is not necessary, but you need to build a base. In an interactive learning environment, you will see a description section, code editor, ipython shell, and lessons. The only way you can move to the next task is when you have successfully typed the correct code and run it. Even companies want their employees to learn new skills, tools, and concepts.
KDnuggets·4y7 Machine Learning Portfolio Projects to Boost the Resume
There is a high demand for machine learning engineer jobs, but the hiring process is tough to crack. For a newbie or fresh graduate, there are only a few ways to showcase skills and experience. Work on machine learning and deep learning portfolio projects to learn new skills and improve your chance of getting hired.
Dark Reading·4yMost Attackers Need Less Than 10 Hours to Find Weaknesses
The average ethical hacker can find a vulnerability that allows the breach of the network perimeter and then exploit the environment in less than 10 hours. Nearly three-quarters of ethical hackers think most organizations lack the necessary detection and response capabilities to stop attacks.
KDnuggets·4yGetting Started with Pandas Cheatsheet
The latest KDnuggets cheatsheet aims to get you up to speed with introductory Pandas operations. Pandas is a flexible and easy-to-use tool for performing data analysis and data manipulation. It is widely used among data scientists for preparing data, cleaning data, and running data science experiments.
HEARTBEAT·4yMastering Pandas
Pandas is an open source and free Python library used for data analysis and manipulation. It uses fast, flexible, and expressive data structures that are easy to use and intuitive when working with relational or labelled databases. Pandas can handle a lot of data, which helps to create an effective recommendation system.
KDnuggets·4yProgress Bars in Python with tqdm for Fun and Profit
Tqdm shows progress bar, number of iterations, time taken to run the loop, and frequency of iterations per second. In this tutorial, we will learn to add the progress bar label and customize it to display a green color progress bar instead on black. You can check out these tools and create your magic with tqDM.