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b"Looking for a short primer on Machine Learning concepts? SDS Founder Kirill Eremenko and AI expert Hadelin de Ponteves are back, joining Jon Krohn to review essential ML concepts. From classification errors to logistic regression, feature scaling, the elbow method and more. The popular data science instructors also introduce their latest course: Machine Learning in Python: Level 1.\\n\\nIn this episode you will learn:\\n\\u2022 Kirill and Hadelin's new course [17:34]\\n\\u2022 Supervised vs unsupervised learning [26:23]\\n\\u2022 False positives and false negatives [31:21]\\n\\u2022 Logistic regression [43:00]\\n\\u2022 Holding out a set of test data [46:39]\\n\\u2022 Feature scaling [52:45]\\n\\u2022 The Adjusted R-Squared metric [59:44]\\n\\u2022 The five assumptions of linear regression [1:05:12]\\n\\u2022 The Elbow Method [1:11:41]\\n\\nAdditional materials: www.superdatascience.com/649\\n\\nInterested in sponsoring a SuperDataScience Podcast episode? Visit JonKrohn.com/podcast for sponsorship information."