Distributed machine learning enables machine learning practitioners to shorten model training and inference time by orders of magnitude. With the help of this practical guide, you'll be able to put ...

Python for Data Science and Machine Learning Essential Training is one of the most popular data science courses at LinkedIn Learning. It has now been updated and expanded to two parts-giving you even ...

Python has a plethora of machine learning libraries, but the top 5 libraries are TensorFlow, Keras, PyTorch, Scikit-learn, and Pandas. These libraries offer a wide range of tools for various ...

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 ...

Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution. With this book, you'll ...

Machine Learning with Python: A Practical Introduction, hosted by EdX and created by IBM, is part of a larger series that revolves around data science and Python. This course concentrates on ...

Today’s best Python courses offer hands-on experience with data analysis, web development, machine learning and more. Python continues to reign supreme as the world’s most popular programming ...

Types of Machine Learning Algorithms: This course describes various types of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, and explains when to use each ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

About the course. This expert-led learning event will equip participants with the practical skills and knowledge to effectively use Python in a variety of financial risk settings. Participants will ...