Machine Learning Foundations: A Case Study Approach

Colleagues, the “Machine Learning Foundations: A Case Study Approach” course is part of Machine Learning Specialization from the University of Washington with 399k+ students enrolled online. You will get hands-on experience with machine learning from a series of practical case-studies.  At the end of the first course you will have studied how to predict house prices based on house-level features, analyze sentiment from user reviews, retrieve documents of interest, recommend products, and search for images.  Through hands-on practice with these use cases, you will be able to apply machine learning methods in a wide range of domains. Gain high-demand skills with Algorithms, Applied Machine Learning, Human Learning, Machine Learning, Machine Learning Algorithms, Data Analysis, Python Programming, Problem Solving, Computer Programming, and Regression. Skill-oriented training modules include: 1) Regression: Predicting House Prices, 2) Classification: Analyzing Sentiment, 3) Clustering and Similarity: Retrieving Documents, 4) Recommending Products, and 5) Deep Learning: Searching for Images.  

Enroll today (teams & executives are welcome): https://imp.i384100.net/09AMdY 

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)