My Journey into AI – learning resources recommended by the speakers

On April 13, DeepLearning.AI and Omdena assembled a panel of machine learning practitioners who shared their first-hand experience of going from non-traditional starting points to building a career in AI. For any aspiring machine learning engineers who missed the event, here’s a few of the speakers’ tips that we hope you’ll find helpful: 

  • The most important part of the job is cleaning data, so data science courses will be a good place to start. 
  • Try a bit of everything when you’re starting, especially when you’re not sure what to dedicate your time on
  • Read a lot of articles on various topics like statistics, data science and NLP on Medium publications.
  • It’s great to be a part of Slack workspaces where you can get and provide help 
  • If you can’t find mentors, look for co-learners
  • Mentoring helps you better your own skills and knowledge base. 
  • Match your capabilities with the companies you are looking for
  • Keep learning and evolving with the projects you pick up
  • Good communication habits are key – learning to communicate well is just as important as technical skills
  • I learn the most in the shortest time by being around people who are already doing the work and finding opportunities to collaborate with them 

Additionally, the speakers shared a list of learning resources that they found useful: 

  1. DeepLearning.AI online courses 
  2. Aggregators 
  3. Companies to follow 
  4. Blogs/Newsletters/Research paper/Books:
    • Blogs like Omdena to understand interesting implementations and approaches to solve a problem
    • Hands on ML book by AurĂ©lien
    • Two Minute Papers on Youtube summarizes research papers
    • Deep AI , Arxiv – websites and Twitter handle for latest research papers.
    • Papers With Code for the latest datasets and implementations.
    • Future Is Intersectional: talks and amazing resources presented by Spelman College, on topics of intersectionality, race, and ethics in AI/tech
    • Jay Alammar’s illustrated series like this one helps visualize difficult concepts
  5. YouTube and Podcast channels:
  6. Communities/Events
  7. Influencers to follow

Click here to watch the full event recording.

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