Training a Machine Learning Algorithm with Python Using the Iris Flowers Dataset For this example, we will be using the Jupyter Notebook to train a machine learning algorithm with the classic Iris ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

When learning, machine learning will make mistakes. Adopters need to anticipate that—and be careful not to make matters worse through human mistakes by IT and business ...

Machine learning, concluded: Did the “no-code” tools beat manual analysis? In the finale of our experiment, we look at how the low/no-code tools performed.

Discover five powerful Python libraries that enable data scientists to interpret and explain machine learning models effectively.

Not necessarily for the data-science and machine-learning communities built around Python extensions like NumPy and SciPy, but as a general programming language.

In this online data science specialization, you will apply machine learning algorithms to real-world data, learn when to use which model and why, and improve the performance of your models. Beginning ...

Conventional wisdom holds that the best way to learn a new language is immersion: just throw someone into a situation where they have no choice, and they’ll learn by context. Militaries use i… ...

With the Premium Machine Learning Artificial Intelligence Super Bundle, you get lifetime access to all 12 courses and 438 lessons that come included in this series.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.