There are many good learning resources on machine learning available online, including:
Coursera: Offers a range of online courses on machine learning, including introductory courses as well as more advanced topics.
edX: Offers courses from top universities and institutions on machine learning, including topics such as deep learning, reinforcement learning, and natural language processing.
Kaggle: Offers a range of datasets and competitions for people to practice their machine learning skills.
TensorFlow: Offers a range of tutorials and guides for learning machine learning using the TensorFlow library.
PyTorch: Offers a range of tutorials and guides for learning machine learning using the PyTorch library.
Regarding the use of home computers for machine learning, it is possible to use your own computer without using massive servers in the cloud. However, the hardware specifications of your computer will limit the size and complexity of the machine learning models you can train.
To run machine learning models on your own computer, you will need a CPU or GPU with sufficient processing power, as well as enough memory and storage space to handle large datasets. The specific hardware requirements will depend on the size and complexity of the models you plan to train.
For example, a basic machine learning model may only require a CPU with a few cores and a few gigabytes of memory, while a more complex model such as a deep neural network may require a GPU with hundreds of cores and several gigabytes of memory.
Overall, the specific hardware requirements for running machine learning on your own computer will depend on the specific models you plan to train and the size of your dataset. However, many introductory machine learning courses and tutorials can be completed with a basic home computer setup.