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In part two of the series, Victor G delves into various aspects of machine learning, including training models, the significance of data quality, the benefits of GPUs and TPUs for processing, and the concept of fine-tuning models. We also cover quantization, cosmic rays, spam detection.
https://join.slack.com/t/unsupervisedl-1dv7569/shared_invite/zt-2f6cjnsw7-PJkw8iqsG26rECzat60a8Q
https://www.linkedin.com/in/mrgeislinger/
https://github.com/MrGeislinger
www.victorsothervector.com
unsupervisedlearning.substack.com
www.thething.co
In part two of the series, Victor G delves into various aspects of machine learning, including training models, the significance of data quality, the benefits of GPUs and TPUs for processing, and the concept of fine-tuning models. We also cover quantization, cosmic rays, spam detection.
https://join.slack.com/t/unsupervisedl-1dv7569/shared_invite/zt-2f6cjnsw7-PJkw8iqsG26rECzat60a8Q
https://www.linkedin.com/in/mrgeislinger/
https://github.com/MrGeislinger
www.victorsothervector.com
unsupervisedlearning.substack.com
www.thething.co