Creating a new notebook Once you have Jupyter installed, you can begin training your machine learning algorithm. Start by creating a new notebook. To create a new notebook, select the folder where you ...

Machine learning uses algorithms to turn a data set into a model that can identify patterns or make predictions from new data. Which algorithm works best depends on the problem.

In this video, we implement the Adam optimization algorithm from scratch using pure Python. You'll learn how Adam combines ...

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 ...

The book leverages algorithms of machine learning in a unique way of describing real life applications. Though not mandatory, some experience with subject knowledge will fasten the learning process.

While building machine learning models is fundamental to today’s narrow applications of AI, there are a variety of different ways to go about realizing the same ends. So-called machine learning ...

Then I’ll discuss 14 of the most commonly used machine learning and deep learning algorithms, and explain how those algorithms relate to the creation of models for prediction, classification ...