This professional certificate program provides a comprehensive introduction to implementing machine learning algorithms using Python and NumPy to solve real-world data science problems.
Students learn to implement k-nearest neighbors, naive Bayes, decision trees, and neural networks while gaining skills in model selection, debugging, and probability distribution estimation.
β’ Degree Required: Bachelor’s degree or equivalent
β’ GRE/GMAT: Not Required
β’ TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)
β’ Statement of Purpose: Required
β’ Letters of Recommendation: 2β3
β’ Resume: Required
β’ Transcripts: Official transcripts required
Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.
Gain deep learning skills to advance as Machine Learning Engineer in Cross-Industry AI