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Publicações com #100daysofMLcode

#100daysofMLcode

Publicações públicas do X que usam #100daysofMLcode.

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  1. Andrew Trask✓@iamtrask
    This series of Jupyter Notebooks is a VERY nice step-by-step introduction to data science and machine learning. If you're just starting out - I recommend walking through these notebooks as a first primer Definitely a great #100DaysOfMLCode project
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  2. Andrew Trask✓@iamtrask
    Machine Learning is WAY more than just picking a model & calling .fit() or .train() on data It's a process... thinking about your problem in terms of correlation & features This step-by-step guide is an excellent intro to this process #100DaysOfMLCode
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  3. Andrew Trask✓@iamtrask
    .@SimonPrinceAI finished 68 (!!!) notebooks that go with his book "Understanding Deep Learning". These are *excellent* for learning/teaching deep learning. Notebooks and book pdf at: #100DaysOfMLCode
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  4. Andrew Trask✓@iamtrask
    This series of #Jupyter #Notebooks is a VERY nice step-by-step intro to data science and machine learning. If you're just starting out - I recommend walking through these notebooks as a first primer Definitely a great #100DaysOfMLCode project
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    243001.5K
  5. Andrew Trask✓@iamtrask
    Machine Learning in a company is 10% Data Science & 90% other challenges It's VERY hard. Everything in this guide is ON POINT, and it's stuff you won't learn in an ML book "Best Practices of ML Engineering" This is a lifesaver #100DaysOfMLCode project
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  7. Andrew Trask✓@iamtrask
    Attention is one of the most important breakthroughs in AI - the foundation of Transformers This @distillpub is the best explanation of it I've seen. For #100DaysOfMLCode / #100DaysOfCode folks - try building an attention mechanism from scratch!
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  8. Andrew Trask✓@iamtrask
    #numpy is an irreplaceable part of every practitioner's Deep Learning toolkit. The best way to learn NumPy that I know of is this crash course If NumPy is new to you - definitely include this early in your #100DaysOfMLCode - you won't regret it!
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  10. Andrew Trask✓@iamtrask
    If you've wondered - "Which Deep Learning optimizer should I use? SGD? Adagrad? RMSProp?" - this blogpost by @seb_ruder is the best explanation I've seen. It's a surprisingly easy read! Definitely a good #100DaysOfMLCode project.
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    242541.2K178K
  13. Connor Shorten✓@CShorten30
    I am able to read much faster and with greater comprehension when I print papers out and annotate them with a pen while reading. How many people do this vs. reading on the computer? #100DaysOfMLCode
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  14. Siraj Raval✓@sirajraval
    Its 2019 Wizards! Have you taken the #100DaysOfMLCode pledge yet? If not, now is the best time. Reply to this tweet with a pledge that you'll dedicate 1 hour to studying machine learning everyday for 100 days with the hashtag. I'll reply to every single new pledge.
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  15. Andrew Trask✓@iamtrask
    Interested in learning Reinforcement Learning? This free course from @dennybritz is the highest quality & most comprehensive collection of online resources I've seen Prepared in order of difficulty For #100DaysOfMLCode folks - take 1-2 days per chapter
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  17. Siraj Raval✓@sirajraval
    Who’s ready to take the 100 days of ML code challenge? That means coding machine learning for at least an hour everyday for the next 100 days. Pledge with the #100DaysOfMLCode hashtag, I’ll give the first few winners a shoutout!
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