As part of our end-of-the-year countdown collaboration with many amazing creators, we asked them to recommend must-read books for 2023.
Here is what they recommended: 1/4๐งต
Here is what they recommended: 1/4๐งต
2/4 AI-related books:
@DanKornas and @sophiamyang - Designing Machine Learning Systems by Chip Huyen
@t_redactyl from the @jetbrains team - Introduction to Linear Algebra by Gilbert Strang
@samzee_codes - Applied Artificial Intelligence by Mariya Yao et al.
@DanKornas and @sophiamyang - Designing Machine Learning Systems by Chip Huyen
@t_redactyl from the @jetbrains team - Introduction to Linear Algebra by Gilbert Strang
@samzee_codes - Applied Artificial Intelligence by Mariya Yao et al.
3/4 AI-related books (cont.):
@Sumanth_077 - GPT-3 by Sandra Kublik et al.
@patloeber - Machine Learning by Python and Scikit-Learn by @rasbt
Fiction:
@marlene_zw - The Alchemist by Paulo Coelho
@Sumanth_077 - GPT-3 by Sandra Kublik et al.
@patloeber - Machine Learning by Python and Scikit-Learn by @rasbt
Fiction:
@marlene_zw - The Alchemist by Paulo Coelho
4/4 Non-fiction:
@1littlecoder - Outliers by Malcolm Gladwell
@andfanilo - Resonate by Nancy Duarte
@DataScienceHarp - The Creativity Code by Marcus du Sautoy
@mervenoyann from the @huggingface team - Meditations by Marcus Aurelius
@misraturp - Factfulness by Hans Rosling
@1littlecoder - Outliers by Malcolm Gladwell
@andfanilo - Resonate by Nancy Duarte
@DataScienceHarp - The Creativity Code by Marcus du Sautoy
@mervenoyann from the @huggingface team - Meditations by Marcus Aurelius
@misraturp - Factfulness by Hans Rosling
Happy Reading in 2023!๐ค
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