To help professionals build these capabilities, we have curated a list of the best applied AI and data science courses.

The job market faces a persistent gap between AI knowledge and practical application. Employers seek professionals who can navigate real-world challenges.

Overview:  AI is transforming every industry, making skills like machine learning, data science, and automation essential for ...

Abstract: Object recognition is the process of recognizing objects based on their characteristics like color, shape, and with the particular occurrence of the object in digital videos and as well as ...

Python has been incorporated throughout society including within educational institutions, corporate environments, start-ups, and large corporations. Additionally, Developers who utilize Python for ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. Core to the system is SymPy for symbolic math support. [David] said being able to work with ...

In a recent write-up, [David Delony] explains how he built a Wolfram Mathematica-like engine with Python. For regression analysis [David] includes statsmodels and Pingouin. If you’re not familiar with ...

Already using NumPy, Pandas, and Scikit-learn? Here are seven more powerful data wrangling tools that deserve a place in your toolkit. Python’s rich ecosystem of data science tools is a big draw for ...

Integrate Bodo Dataframe's or compiler into qlib as an optional execution backend. Bodo Dataframe's are a drop in replacement for Pandas dataframes and offer expression tree optimization with lazy ...