The author further encourages readers to differentiate themselves from other job applicants by combining their interests with technical skills to create useful projects. They discourage generic projects like movie recommender systems or handwritten character recognition, instead suggesting that applicants should tailor their projects to the specific industry they're interested in. The article concludes with a call to action, urging readers to keep building, keep grinding, and not slow down.
Key takeaways:
- The author emphasizes the importance of building 'cool things' as a way to stand out when applying for jobs in AI/ML.
- Traditional qualifications such as school or degree are less important to the author than proof of practical skills and creativity.
- The author encourages applicants to combine their personal interests with technical skills in their projects.
- Despite the challenges and competition, the author encourages persistence and continuous learning and building.