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    23. sij
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    6. sij
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    5. sij

    Consider: millions of years ago our antecedents gave a massive sacrifice of their left hemisphere. We lost a tremendous amount of short term memory and replaced it with Broca’s, Wernicke & the phonological loop. But why? So we can—talk. Thus chimpanzees can do this—we can’t:

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    18. pro 2019.

    Data : is the key 3 pillars to the intelligence enterprise: 1. Think openly & embrace a multi-tool environment 2. Seek to enable every person, process, app & device 3. Start with trusted data / enrich it to gain insights

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    18. pro 2019.
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    The top Artificial Intelligence Books for reading, learning, and growing your knowledge in 2019: ———————

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    How to build a model in in 15 minutes: —————— —————— The open source LORE ML framework is here:

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    1. pro 2019.
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    23. stu 2019.

    How do Data Professionals Spend their Time on Projects? Gather data: 17% Clean data: 23% Visualize data: 14% Build/select model: 21% Put model into production: 9% Find insights: 11% Other: 5%

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    22. stu 2019.

    "We analyzed 16,625 papers to figure out where AI is headed next Our study of 25 years of artificial-intelligence research suggests the era of deep learning may come to an end."

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    7. stu 2019.

    Don't just teach your students to read. • Teach them to question what they read, what they study. • Teach them to doubt. • Teach them to think. • Teach them to make mistakes and learn from them. • Teach them how to understand something. • Teach them how to teach others.

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    30. lis 2019.

    The amazing published this project along with a helper library for connecting projects to !

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    30. lis 2019.
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    30. lis 2019.
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    26. lis 2019.

    If you find science boring, you're learning it from a wrong teacher! 🧠

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    MUST SEE this new 81-page guide on getting started with , , and . It compiles, categorizes, and cross-references nearly 300+ free tutorials on the blog. ⬇️ ⬇️ ⬇️

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