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dehora.net | ||
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www.turingcollege.com
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| | | | | [AI summary] This article lists essential books for data scientists, covering technical skills, non-technical concepts, and soft skills development through reading. | |
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burakkanber.com
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| | | | | The Hands-on Machine Learning with JavaScript book teaches ML algorithms from first principles to JS devs for use in the browser, node.js, and mobile apps. | |
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sebastianraschka.com
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| | | | | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs). | |
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blog.keras.io
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| | | [AI summary] The text discusses various types of autoencoders and their applications. It starts with basic autoencoders, then moves to sparse autoencoders, deep autoencoders, and sequence-to-sequence autoencoders. The text also covers variational autoencoders (VAEs), explaining their structure and training process. It includes code examples for each type of autoencoder and mentions the use of tools like TensorBoard for visualization. The VAE section highlights how to generate new data samples and visualize the latent space. The text concludes with references and a note about the potential for further topics. | ||
