Machine Learning as a Service- Challenges and Opportunities

Machine Learning as a Service- Challenges and Opportunities

Open Data Science via YouTube Direct link

Introduction

1 of 12

1 of 12

Introduction

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Machine Learning as a Service- Challenges and Opportunities

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  1. 1 Introduction
  2. 2 Machine Learning Life Cycle
  3. 3 Machine Learning Ecosystem
  4. 4 Challenges
  5. 5 Data Acquisition
  6. 6 Service Bias
  7. 7 Manual Laboring Bias
  8. 8 Randomization Bias
  9. 9 Evaluation
  10. 10 Service Never Ends
  11. 11 Solution
  12. 12 Conclusion

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