{"product_id":"durai-rajamanickam-causal-inference-for-machine-learning-engineers-9783031996795","title":"Causal Inference for Machine Learning Engineers","description":".- Introduction to Causal Thinking..- Treatments, Outcomes, and Confounding: Core Concepts..- Causal Estimation Basics..- Causal Graphs: Structure and Assumptions..- Interventions and Counterfactuals..- Introduction to Do-Calculus..- Backdoor and Frontdoor Criteria..- Advanced Causal Inference Methods..- Causal Inference Meets Deep Learning..- Simulating Causal Data and Evaluation Met rics..- Balancing Representations with Causal Deep Learning (CFRNet)..- Propensity Scores in Causal Deep Learning..- Evaluating Causal Models Without Counter factuals..- Advanced Topics in Causal Inference..- Assumptions and Real-World Challenges in Causal Inference..- Summary of Key Concepts..- Case Studies..- Solutions to Exercises.","brand":"Springer","offers":[{"title":"Default Title","offer_id":53822170071382,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"url":"https:\/\/www.momoxbooks.com\/products\/durai-rajamanickam-causal-inference-for-machine-learning-engineers-9783031996795","provider":"momoxbooks","version":"1.0","type":"link"}