How to actually learn AI/ML: Reading Research Papers

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Ready to master AI/ML and boost your career? I'll walk you through the essential steps and strategies to effectively navigate Artificial intelligence or machine learning-related research papers in the ever-evolving tech field.

We'll break down the process of reading research papers, understanding complex concepts, and building a solid foundation for a successful AI and machine learning engineering career. Whether you're a software engineer looking to upskill or an aspiring ML or AI engineer, this guide is tailored for you.
I’ll also share where exactly to find the AI papers based on your goals and explain the resources listed on our website:

✅ AI research papers

📎 Other Resources:
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✅ FREE Study Plan to Learn AI/ML Engineering FAST with ChatGPT
✅ The Ultimate Resume Handbook
✅ FREE ATS-Friendly Resume Template

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👉Learn AI/ML engineering FAST with ChatGPT
👉AI/ML Engineer path - The Harsh Truth

🖥️ My SETUP
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📣✨Connect with me
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I give advice for navigating your engineering career journey successfully.

⭐️About me
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Hi, I'm Jean, Founder of Exaltitude. I've been working in tech for the past 15 years as an engineer, an engineering manager, and a team builder. I was the 19th engineer at WhatsApp and worked with Facebook as an Engineering Manager for six years after the $19B acquisition. I'm excited to share the ins and outs of a Software Engineering career based on my experience as a hiring manager for top tech companies.

Credits
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🖼️ All images, graphics, and b-roll videos used in this video were sourced from Canva.
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✅Get FREE resources on latest AI research papers

exaltitude
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🎯 Key Takeaways for quick navigation:

00:13 To *master AI/ML, reading research papers is crucial. Navigating these papers is a skill to stay ahead in the field.*
01:38 Compile *a list of 5-10 papers on a specific topic. Reading them linearly isn't efficient; scanning and setting realistic goals matter.*
02:04 Set *realistic goals based on your level: 15-20 papers for foundational grasp, 50-100 for deep understanding. Start with 5-10 if exploring.*
03:15 Efficiently *scan titles, abstracts, and figures first. Sample about 10% of each paper to decide if it's worth diving into.*
04:35 Skip *sections liberally, focusing on abstracts, intros, and conclusions. Don't get discouraged if some parts are challenging; practice improves understanding.*
05:28 Regularly *reading papers builds a strong knowledge base, making you stand out in the long term. Consider it an investment in your career growth.*
06:21 Recommended *sources for finding research papers: Papers with Code, Distilled AI, Deep Learning Monitor, and Archive Sanity. Each has its pros and cons.*

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DJPapzin
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Finally some real advice rather than nowadays learn dl/ml in a day. Awesome work, keep it up Jean.

ghostoftsushimaps
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I'd like to see more discussions of "fake learning" vs "real learning" in AI/ML fields.☺

ktlu
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Do you think one should get completely comfortable with all the prerequisites of a method discussed in the paper? Sometimes there is too much of that (for a not-so-experienced reader)? What kind of code implementation details should you care about, if any, aside from reading the paper?

kamranmehdiyev
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Thanks for teaching us. These type of content is really rare in on YT.

rishiroy
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Would you use similar steps in finding your own topic to research about for a dissertation?

SB-qtqj
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I cant find 'distilled AI List of research papers', could anyone provide me link

quanminh
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Thank you for educating and inspiring us 🎉❤

vigneshvarsreekanth
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Cool time to read papers about transformers, and ask ChatGPT questions about it. It's like I'm talking to the paper in a way...

flsendzz
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Mam how to do cold calling properly when searching for a job after a big career gap of 5 yrs due to family reasons ? I am an hvac engineer by profession trying to get back into work by looking for different job hunt methods..

mohibquadri
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How does one build familiarity with all the scary math notation?

susbit_the_sus
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Thank you so much for sharing these nifty tips!

chane-nel
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Hey i love your videos ❤ but as a subscriber i wanna give you a suggestion your voice is too sharp please edit the audio just the cut off high pitches then it will be soothing while we listen to this as a podcast 😅😅, yeah i actually listen to and learn from you guys while coding 😊

ganeshkgp