Machine Studying Information Lifecycle in Manufacturing

About this Course

Within the second course of Machine Studying Engineering for Manufacturing Specialization, you’ll construct knowledge pipelines by gathering, cleansing, and validating datasets and assessing knowledge high quality; implement characteristic engineering, transformation, and choice with TensorFlow Prolonged and get probably the most predictive energy out of your knowledge; and set up the information lifecycle by leveraging knowledge lineage and provenance metadata instruments and comply with knowledge evolution with enterprise knowledge schemas.

Understanding machine studying and deep studying ideas is important, however in the event you’re trying to construct an efficient AI profession, you want manufacturing engineering capabilities as nicely. Machine studying engineering for manufacturing combines the foundational ideas of machine studying with the useful experience of recent software program improvement and engineering roles that will help you develop production-ready expertise. Week 1: Accumulating, Labeling, and Validating knowledge Week 2: Characteristic Engineering, Transformation, and Choice Week 3: Information Journey and Information Storage Week 4: Superior Information Labeling Strategies, Information Augmentation, and Preprocessing Totally different Information Varieties

WHAT YOU WILL LEARN

•  Establish accountable knowledge assortment for constructing a good ML manufacturing system.

• Implement characteristic engineering, transformation, and choice with TensorFlow Prolonged

• Perceive the information journey over a manufacturing system’s lifecycle and leverage ML metadata and enterprise schemas to deal with shortly evolving knowledge.

SKILLS YOU WILL GAIN

• ML Metadata
• Convolutional Neural Community
• TensorFlow Prolonged (TFX)
• Information Validation
• Information transformation

Syllabus – What you’ll study from this course

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WEEK

1

7 hours to finish

Week 1: Accumulating, Labeling and Validating Information

This week covers a fast introduction to machine studying manufacturing programs. Extra concretely you’ll find out about leveraging the TensorFlow Prolonged (TFX) library to gather, label and validate knowledge to make it manufacturing prepared.

WEEK

2

7 hours to finish

Week 2: Characteristic Engineering, Transformation and Choice

Implement characteristic engineering, transformation, and choice with TensorFlow Prolonged by encoding structured and unstructured knowledge varieties and addressing class imbalances

WEEK

3

5 hours to finish

Week 3: Information Journey and Information Storage

Perceive the information journey over a manufacturing system’s lifecycle and leverage ML metadata and enterprise schemas to deal with shortly evolving knowledge.

WEEK

4

3 hours to finish

Week 4 (Elective): Superior Labeling, Augmentation and Information Preprocessing

Mix labeled and unlabeled knowledge to enhance ML mannequin accuracy and increase knowledge to diversify your coaching set.