I don’t expect a book on machine learning to extensively cover deep learning, but in Hands-on Machine Learning, Geron has managed to pack a lot in 400 pages.You start with a great history of ...

With so many books on Python machine learning, making a choice is becoming increasingly difficult. You’re investing both your time and money to learn something that can open new career paths for ...

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 “Introduction to Machine Learning with Python“ present detailed practice exercises for offering a comprehensive introduction to machine learning techniques along with basics of Python.

PyTorch 1.10 is production ready, with a rich ecosystem of tools and libraries for deep learning, computer vision, natural language processing, and more. Here's how to get started with PyTorch.

Machine Learning for Absolute Beginners. The book is authored by Oliver Theobald. The book is designed for beginners with plain English explanation of machine learning concepts. The best part: No ...

In the excellent book Hands-on Machine Learning with Python, data scientist Aurelien Geron shows how you can use PCA to reduce the MNIST dataset from 784 features (28×28 pixels) ...

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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 ...