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2. As a Cheng Yuan who has been engaged in machine learning for more than two years, seeing the computer series you recommended also thinks it is very unreliable. I have read most of the books you recommended. In particular, novice readers are not recommended to read "Introduction to Algorithms" and "Data Mining: Concepts and Technologies". These two books are thick and heavy. Although the content is also good, you will not know the year of the monkey when you finish reading them. What does a novice need? It's getting started! Secondly, have you really finished reading Python Core Programming? This book is not for Python newcomers. It is very thick and difficult. It is very unfriendly to newcomers. And if you just want to be AI, then many parts of this book don't need to be used. Is web development and Django framework really necessary for our AI engineers? No. Xiao Bai has no distinction between key and non-key points in a book. He spent a lot of time learning unnecessary knowledge, which really does more harm than good. Giving guiding and targeted recommendations is responsible recommendation.　　七年后，丹熙和河振在瑞士再次相遇，而此时的丹熙已经成为一名职业女子垒球手，而河振却还是一个地痞小混混。两人能冰释前嫌、重新相爱吗？他们的爱情道理能够顺利吗？金喜善回归荧屏之作是否能给观众不一样的感受，李东健能否突破以前的完美男人角色塑造全新社会底层人物能否成功？一切都在这部SBS最新力作《smile again》中解开谜底。"Persimmon Dyed Blue"　　那么，林无敌究竟会选择正逐渐成熟的费德南？还是被雷囧这个这个半路杀出的“程咬金”成功抢走，便成了影迷们最关心的问题。据悉，《丑女大翻身》开机当天邓安奇便已入组，看来他所饰演的雷囧还将继续在林无敌与费德南之间横插一脚。Year, 4 digits, e.g. 2016这一场没有智谋诡计的比拼，真刀真枪完全实打实的厮杀。以朝鮮時期的"外知部"為背景, 描述為受到冤屈的百姓努力的女人玉女(李瑞媛)的故事