교육 기관: Saurab R•
2021년 7월 7일
Was expecting spark based Mlib not scikit learn
교육 기관: Xiaoyue Z•
2020년 12월 19일
Very bad notebooks/Exam. Bug in exam, instruction missing in notebook which cause it impossible to calculate the correct answer. Don't know why coursera put such un-tested, un-updated, un-reviewed course online.
교육 기관: Dzmitry S•
2022년 1월 8일
Good course with good practical tasks (felt relatively simple for me, but may be more challenging for others). It's happy to see quizes as performance evaluation in comparison with peer reviews from previous specialization course. However I lack Databricks features usage and explanations (MlFlow expecially). Also Databricks runtime used during course preparation is no longer available for selection as cluster configuration - it results in different answers for specific questions (it was very painful with K-Means clustering - I just had other ordering cluster labels)
교육 기관: Ivan O C•
2021년 6월 23일
Nice course, its approach is the right mix between theory and hands-on exercise on the databricks platform...
교육 기관: reneryu•
2022년 10월 27일
Very practical applied machine learning course on data science while covering key components informatively
교육 기관: Leandro C•
2021년 4월 17일
Perfect and objective content. Simple and practical exercises. I strongly recommend!
교육 기관: stephane d•
2020년 12월 29일
Great course for an overview but with a high level of abstraction (usage of existing libraries but very little coding of algorithms that show the details of the principles)
교육 기관: Cochet•
2022년 12월 30일
Well defined exercice with usage of Pyspark in Databricks