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Wednesday, October 30, 2024

Structuring Machine Learning Projects (DeepLearning.AI)

Colleagues, the “Structuring Machine Learning Projects will equip you to diagnose errors in a machine learning system; prioritize strategies for reducing errors; understand complex ML settings, such as mismatched training/test sets, and comparing to and/or surpassing human-level performance; and apply end-to-end learning, transfer learning, and multi-task learning. Gain highly marketable skills in Decision-Making, Machine Learning, Deep Learning, Inductive Transfer and Multi-Task Learning. Training modules address: 1) ML Strategy (Part I): Streamline and optimize your ML production workflow by implementing strategic guidelines for goal-setting and applying human-level performance to help define key priorities - Why ML Strategy, Orthogonalization, Single Number Evaluation Metrics, Satisficing and Optimizing Metric, Train/Dev/Test Distributions, Size of the Dev and Test Sets, When to Change Dev/Test Sets and Metrics?, Why Human-level Performance?, Avoidable Bias, Understanding Human-level Performance, Surpassing Human-level Performance and Improving your Model; and Performance; and 2) ML - Strategy (Part II): Develop time-saving error analysis procedures to evaluate the most worthwhile options to pursue and gain intuition for how to split your data and when to use multi-task, transfer, and end-to-end deep learning - Carrying Out Error Analysis, Cleaning Up Incorrectly Labeled Data, Build your First System Quickly, then Iterate, Training and Testing on Different Distributions, Bias and Variance with Mismatched Data Distributions, Addressing Data Mismatch, Transfer Learning, Multi-task Learning, What is End-to-end Deep Learning?, and Whether to use End-to-end Deep Learning. 

Enroll today (teams & executives are welcome): https://imp.i384100.net/RGPGQa 


Download your free AI-ML-DL - Career Transformation Guide.


For your listening-reading pleasure:


1 - “AI Software Engineer: ChatGPT, Bard & Beyond” (Audible) or (Kindle)  


2 - “ChatGPT - The Era of Generative Conversational AI Has Begun” (Audible) or (Kindle


3 - “ChatGPT, Gemini and Llama - The Journey from AI to AGI, ASI and Singularity” (Audible) (Kindle)


Much career success, Lawrence E. Wilson - AI Academy (share with your team)


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Deep Learning: Convolutional Neural Networks in Python (training)

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