{"product_id":"140451","title":"Machine Learning Masterclass ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jYGWrw8HivLGCY49D3VQyRg8O2rCS.png?v=1765079903\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Machine Learning Masterclass \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/141195086\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eThe core concepts of machine learning that I vaguely knew,\u003cbr\u003e Clearly explained in 9 lessons!\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Basic concepts and techniques familiar from machine learning books and practice.\u003cbr\u003e But if someone asked why and in what situations you use it, would you be able to explain it properly? \"Machine Learning Masterclass\" explains concepts and techniques widely used in machine learning, familiar to developers but often unfamiliar to many.\u003cbr\u003e It clearly organizes the basic concepts required for model design and learning, and points out important points for each stage of model design, actual learning, and evaluation. \u003cbr\u003eIn addition, we discuss the characteristics of high-dimensional spaces that must be known to better understand AI, as well as the issue of AI reliability.\u003cbr\u003e This book will help you strengthen your understanding of machine learning and connect the concepts you already know, building a solid foundation that can be applied in a variety of situations.\u003cbr\u003e\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eLesson 1: Teaching Machines Common Sense\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Bayes' theorem, the foundation of probabilistic judgment\u003cbr\u003e The act of selecting the most likely cause, MLE\u003cbr\u003e The emergence of prior information overturns the results, MAP\u003cbr\u003e Dictionary information used in our daily lives\u003cbr\u003e Advance information to help AI make decisions\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 2: Interpreting and Comparing Probability Distributions\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Entropy tells us about uncertainty\u003cbr\u003e Uncertainty is information\u003cbr\u003e Entropy is also the value of information.\u003cbr\u003e Entropy is ultimately a cost  \u003cbr\u003eCost increases if the probability distribution is not known, cross entropy\u003cbr\u003e Quantifying Additional Costs, KLD\u003cbr\u003e The Incompetence of the Entropy Family 1\u003cbr\u003e The Incompetence of the Entropy Family 2\u003cbr\u003e Possible alternative, W distance\u003cbr\u003e Cross entropy is used so primitively\u003cbr\u003e Cross entropy can be used more effectively\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 3 Raw Numbers as Probability Distributions\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Softmax, that incongruous name\u003cbr\u003e Why an exponential function?\u003cbr\u003e There is no right answer in probability distributions.\u003cbr\u003e Create custom probability distributions\u003cbr\u003e Is it a cousin of the sigmoid function?\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 4: The Objective Function That Determines Whether You Can Learn\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Two similar yet different objective functions\u003cbr\u003e Regression made easy thanks to logs\u003cbr\u003e What's the real reason for taking the log of the target function?\u003cbr\u003e The direction and pace of learning, gradient\u003cbr\u003e Good gradient, bad gradient\u003cbr\u003e log likelihood, which we are already familiar with\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 5: How to Control Misaligned Learning Models\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003eNoise is an unavoidable fate\u003cbr\u003e Actively intervene in the model's learning process\u003cbr\u003e This time, once again, Prior's great performance\u003cbr\u003e Why small parameters are preferred\u003cbr\u003e Different paths for L1 and L2\u003cbr\u003e The Emergence of Batch Normalization and the Crisis of Weight Decay\u003cbr\u003e Reevaluation of weight decay\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 6: Find Hidden Variables, and Create Them If They Don't Exist\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Data manipulation scenarios\u003cbr\u003e Creation is easy when you know the distribution.\u003cbr\u003e Hidden properties, latent variables\u003cbr\u003e Separate mixed components, GMM\u003cbr\u003e Explain with joint distribution, VAE\u003cbr\u003e Explain with functions, not distributions, NF\u003cbr\u003e Explaining the present through the past step by step: the diffusion model\u003cbr\u003e Why Diffusion is Needed\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 7: Don't Be Fooled by Performance Numbers\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e The beginning of classification model evaluation is the confusion matrix.\u003cbr\u003e Why do they use specificity?\u003cbr\u003e But why do we use precision?\u003cbr\u003e Where should the threshold be set?\u003cbr\u003e A method that takes all these circumstances into account, AUC\u003cbr\u003e AUC in class imbalance situations  \u003cbr\u003eYet, what AUC cannot show\u003cbr\u003e Performance indicators of detection models, AP\u003cbr\u003e Grading is possible even if there is no correct answer.\u003cbr\u003e Score responses to generated images, IS\u003cbr\u003e Scoring the feature distribution of generated images, FID\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 8: The World Where AI Lives: Into High-Dimensional Space\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Tracking one question\u003cbr\u003e Strange phenomena occurring in high-dimensional space\u003cbr\u003e High-dimensional Gaussian distributions look peculiar?\u003cbr\u003e In higher dimensions, even the betrayal of probability occurs.\u003cbr\u003e Worries you don't have to worry about in higher dimensions\u003cbr\u003e Dimensional Curse or Dimensional Blessing\u003cbr\u003e Conclusion\u003cbr\u003e\u003cbr\u003e \u003cb\u003eLesson 9: AI is obsessed with itself, and therefore, it's an unattractive AI.\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e The performance is good, but I don't trust it.\u003cbr\u003e Arrogance doesn't even help AI itself.\u003cbr\u003e What made them proud\u003cbr\u003e The point of becoming complacent\u003cbr\u003e The process of becoming complacent\u003cbr\u003e Transforming into a Humble AI\u003cbr\u003e Confident Error, AI Hallucination\u003cbr\u003e Conclusion \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS\u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n \u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e- \u003cstrong\u003eDate of issue:\u003c\/strong\u003e January 17, 2025\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 304 pages | 504g | 172*225*15mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9788966264636\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 8966264638 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default Title","offer_id":43893422751786,"sku":"140451","price":33.0,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0683\/2750\/5962\/files\/7848ce2df0cd038f8262f7d42b23c5ae.jpg?v=1765401397","url":"https:\/\/librairie.coreenne.fr\/en\/products\/140451","provider":"LIBRAIRIE COREENNE","version":"1.0","type":"link"}