Hey, I am new to the field of machine learning and recently started reading the book Machine Learning by Tom Mitchell and am stuck on a particular section in the first chapter where he talks about Estimating Training values and also adjusting the weights. An explanation of the concepts of estimating training values would be great but I understand that it is not easy to explain all this so I would be really obliged if someone would be able to point me towards a resource (lecture video, or simple lecture slides, or some text snippet) that talks about the concept of estimating training data and the like.

Again I am sorry I cannot provide more information in terms of the question I am asking. The book sections are 1.2.4.1 and 1.2.4.2 in "Machine Learning by Tom Mitchell" if anyone has read this book and has had the same problem in understanding the concepts described in these sections.

Again I am sorry I cannot provide more information in terms of the question I am asking. The book sections are 1.2.4.1 and 1.2.4.2 in "Machine Learning by Tom Mitchell" if anyone has read this book and has had the same problem in understanding the concepts described in these sections.