According to DeepLearning.AI, Andrew Ng emphasizes the importance of choosing a reasonable algorithm, conducting quick sanity checks, and prioritizing data quality over the latest models when starting an ML project. These strategies are crucial for saving time, minimizing errors, and ensuring a solid foundation for machine learning endeavors.