sigilwen.ca/reading.html?fbclid=PAAabBVxLFgsyTK95pV7RQ2GNydCqB9t6mh0L8zdd4Upu1sSSH061htH6A7y8_aem_AduBYFlmgtNowqh3yLbQJWvCu70qy_j26d7QmMxoiqJ_GbuGgb2IGpNvR9RlK1qnsAo
Reading Currently Reading Fundamentals of Deep Learning by Nithin & Nikhil Buduma I'm friends with Nikhil- an incredibly comprehensive book on ML. Once I finish I'll ask the authors for advice on autodidacting my ML journey further Tomorrow, And Tomorrow, And Tomorrow by Zevin Rec by Cat when I toured the Index Office. I have a feeling I will fall in love with this one. Deep Learning with PyTorch AUTOMATIC DIFFERNTIATION BABY Foundation by Isaac Asimov To expand my imaginationf Death's End - Liu Cixin (Three Body Problem Series) Quite enjoyed the first book - wildly imaginative as mr Obama says. This one get's crazier. Brain getting wrinkly. My brain ironically isn't great at keeping track of Chinese names in fiction XD Ready Player One by Ernest Cline Expand my imagination for the digital universe we can create. 1984 by George Orwell I hated being forced to read this in high school. Animal Farm spiked my curiosity in Orwell to better understand totalitarianism. Reading Log Snow Crash
Reading Reading Log (Note: I've realized I've been reading wrong. With a completionist mindset. For Validation. I'm relearning atm. Bear with me... this will be revamped as I learn how to read) In taking my own path, I felt an anticomplacent fire within me to continue learning and enriching my brain, as I would have if I enrolled in college. This log details bits of my autodidactic reading journey. Turning Pro - Steven Pressfield December 15th, 2023 - "The essence of epiphanies is the stripping away of self-delusion". It's time to turn pro. The War of Art - Steven Pressfield 🖼️ November 19th,
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