1. As a math student, I have studied math for four years, and I don't agree with the bibliography you gave at random. First, there is no step type and it is unfriendly to beginners. Your title and the purpose of writing this series are probably for Xiaobai to see. So, may I ask, a Xiaobai needs to see the principle of mathematical analysis? ? Is it necessary to look at Princeton Calculus Principle to learn artificial intelligence? ? In my shallow understanding, the biggest difference between mathematical analysis and advanced mathematics is the same theorem. High numbers only require that they can be used. Mathematical analysis is rigorous and will definitely give proof. However, for the mathematics needed in most artificial intelligence, you need to prove the correctness and completeness of this theorem in your work? ? I'm afraid the project will be closed long ago when you prove it. You replied to me that this is only a bibliography, not a recommended bibliography, but most of the following comments decided to give up when they saw the book list. If you put these books out, it will be instructive to those who read your articles. I think you are misleading people. Second, I have roughly deduced from the number of references you have made that you may not have a framework for the mathematics of the whole artificial intelligence, otherwise there would not have been such irresponsible recommendations. However, out of respect for you, I did not question your ability. I only gave a brief recommendation in the comments on the suitable math bibliography for beginners.
Open the "Learning Power" client. On the welcome page, it is "It's a pleasure to learn while learning" from the Analects of Confucius. To use this client, you need to register your mobile phone number. After registration, it enters the main page. From the content point of view, it consists of 38 channels in the two major sections of "Learning" and "Video Learning". Among them, the "learning" section includes channels such as recommendation, news, new ideas, current politics synthesis, publication, practice, subscription, economy, figures, science and technology, culture, pictures, party history, personnel, law and discipline, international, 19 major time, documentary, allusions, current reviews, thinking, military, etc.
宅男林北辰在机缘巧合下得到一部手机，手机带他进入到了一个叫做东道真洲的世界，在这里，他成为了北海帝国十大名将之一【战天侯】林近南的嫡子，同时也是个臭名昭彰的败家子，且天生带有脑疾。适逢战天侯林近南战败，家道中落，失去了靠山的林北辰，被各路‘仇人’堵在学校里无法出门，危急时刻，他惊讶地发现，自己随身带来的手机，竟是一个可以辅助练功的外挂神器。依靠这个神器，林北辰开启了自己的爆笑逆袭之路。
本片是由一位狂热的特异跑车收藏爱好者丹尼尔·萨德克投资2600万美元制作，并将他私人拥有的高级汽车贡献给摄制组拍摄使用。而在摄制过程中他的一辆价值20万美元的保时捷被撞毁。本片导演曾是成龙特技组的特技指导。
“亲情”本是维系一个家的根本，但现代人往往着眼于金钱利益轻视亲情。一间海味店、一个大家庭，因利益牵引出一场争产风暴。唐氏一家坐拥六亿资产，家人之间相处融洽，是惹人羡慕的家庭。唐至安是唐家养子，与养父唐仁佳感情极好，全新全力为唐家打理生意。一家人本来父慈子孝、兄友弟恭，但随着安是私生子的秘密被揭发，家人之间的关系开始起风浪。而仁佳的去世更掀起了一场遗产之争……
猫和老鼠中机灵的老鼠与笨猫斗智斗勇的故事。
大苞谷见英王眼睛微眯，忙大喝道：都给我闭嘴
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你一拳把黄瓜哥哥嘴巴都打肿了。
这是一个唱歌跳舞，超级快乐，有点悲伤的成长故事！
这笔位于九龙山的宝藏正是张世诚兵
城市女孩Nid Narisara是一个独立自尊的姑娘，父亲的离世让她不得不找份工作养活自己。经过朋友介绍，她来到了Poochit的农场应聘。Poo是个做事严谨、自律古板又无趣的农场主，因为Nid漂亮的外表就质疑她的工作能力，留下她也只是以为Nid是弟弟的女朋友。但很快，精明能干的Nid将农场打理得井井有条，农场员工都很喜欢这位新经理。只有对她带有偏见的Poo常常会没事找事，争执不断。渐渐地，两人在长期的相处中发现了彼此的闪光点，原本单纯的上下属关系开始变得复杂暧昧起来。在一场火灾中，Nid勇敢地救了Poo的妹妹自己却不幸受伤后，Poo终于向她表白并求婚。Nid的哥哥回到曼谷，得知一切想要接回Nid......因爱相系的两人，是否会因为当初的誓言，跨过阻隔走到一起呢？
为了确认历史上到底有没有孙悟空这个人，大家来到了古代中国唐朝，可是由于忘了关掉电源，哆啦A梦的虚拟游戏机里的妖怪全都溜了出来，他们吃了唐三藏，并不断进化，消灭了人类，统治了地球。大家发现大事不好后，必须回到唐朝，去火焰山战胜妖怪的头目牛魔王，才能消灭所有妖怪，拯救世界。
A2 Surgical
The chassis shot is BMW 3 Series 2018 330i M Sports Obsidian Night Edition, equipped with high-power versions of 2.0 L, 185kW (252Ps)/5200-6500rpm, 350Nm/1450-4800rpm, matched by the famous ZF 8-speed manual self-integration gearbox, which is rear wheel drive.
他话音未落，却见一男子纵马上前，将铳扛在肩头，满脸微笑。
Blair（莉顿·梅斯特 Leighton Meester 饰）和Serena（布蕾克·莱弗利 Blake Lively 饰）在巴黎度过了一个美好的夏天，正当她决定忘记Chuck（爱德·维斯特维克 Ed Westwick 饰）时，他却在巴黎出现，还带着美貌Eva。纽约上东区，度过一个糜烂夏季的Nate（切斯·克劳福 Chace Crawford 饰）遇到一个叫Juliet（凯蒂·卡西迪 Katie Cassidy 饰）的美丽女人，而她的真正目的却在Serena身上。Blair邂逅了高贵的王子Louis，在努力让自己变成王妃的同时却陷入了与Dan（佩恩·拜德格雷 Penn Badgley 饰）的暧昧不清。而恢复记忆的Chuck也努力挽回与她的关系。这一次，他们又将带来怎样精彩的故事？Gossip Girl依然眷恋着这些上东区的宠儿们。
但是不赏肯定不行：有功不赏，不利于激励臣民。
