Just yesterday we received a screenshot from a Jiuzhang student who just got a Google offer
As a programmer who also changed his major to cs, I must express my sincere understanding and congratulations to this ape!
The taste of it, only my apes can understand...
In addition, the attentive ape also found 6 coups that the teacher told her at the time to share with everyone:
As above, in addition to blessings and joy, what we need to do is to summarize and reflect on why a girl who switched to CS midway and was once rejected by dozens of small companies can successfully enter her favorite AI position, You even got an offer from Google in one fell swoop, but you are still stuck in one job fair after another and it is difficult to escape? The times no longer need people who only know how to devote themselves to reading and reading dead books. The necessary and sufficient condition for success must be the combination of skills and opportunities . Just as social development is irreversible, technological progress has never stopped. The upsurge of artificial intelligence has persisted for a long time, and the demand for AI talents by major companies such as Google, Facebook, and Microsoft has reached an unprecedented level. With her original efforts, how to improve her skills and seize opportunities like hers has become the most important step in successfully joining a famous AI company.
Professional skills + excellent opportunities
= ( small class teaching by the strongest teachers + supervised practice + timely answer by teaching assistant + lintcode VIP permission ) + ( revision of senior interviewer resume + one-to-one mock interview + many-to-one job referral )
= Actual combat and projects + meet the latest and hottest job requirements
= Proficient in all interview questions + 100% tacit understanding between interview and examiner
=offer
= Nine chapters algorithm artificial intelligence training camp ! !
8 senior scientists in the field of AI provide you with precise guidance
Three months, 100 hours, and supporting services, AI Mengxin has successfully transformed into a famous enterprise to snatch the senior AI ape
This course has been prepared for a long time, and mainly uses python, the mainstream language in the data field , as a practical tool for the course.
As an interpreted language, python can not only bring you high efficiency, but also has a mature development ecology, which can be used with many extremely useful libraries, allowing you to get started quickly.
Week 1
Getting Started with Machine Learning
·Machine learning from 0 to 1 Introduction to Machine Learning
·Introduction to Python I
·Machine Learning - KNN algorithm
· Machine Learning Python Data Analysis - Pandas
第2周
数据分析和python入门
·Python 基本语法基础 Introduction to Python II
·Python 面向对象、第三方库等介绍 Python - OOD
·机器学习 Python Data Analysis - Numpy Matplotlib
·机器学习KNN 算法实战 Machine Learning - KNN algorithm II
第3周
机器学习实战初探
·朴素贝叶斯 I Naive Bayes I
·朴素贝叶斯 I Naive Bayes II
·线性回归 Linear Regression
·逻辑斯蒂回归 I Logistic Regression I
第4周
数据抓取和机器学习实战
·Python 数据分析之爬虫项目 I Python crawler I
·Python 数据分析之爬虫项目 II Python crawler II
·决策树算法 I Decision Tree I
·决策树算法 II Decision Tree II
第5周
机器学习深入和比赛入门
·逻辑斯蒂回归II Logistic RegressionII
·逻辑斯蒂回归III Logistic RegressionIII
·聚类和降维 Clustering and Dimensionality reduction
·机器学习竞赛入门 Introduction to Machine Learning Contest
第6周
机器学习集成
·机器学习集成I Machine Learning - Ensemble I
·神经网络 Neural Network
·反向传播 和 自动微分 Back propagation and Automatic Differentiation
·梯度提升决策树 GBDT - Gradient Boosting Decision Tree
第7周
机器学习集成深入和广告系统实战
·机器学习集成 II Ensemble III
·机器学习集成 III Ensemble III
·广告系统 I Introduction to Online Advertisement System I
·广告点击率预估 II Introduction to Online Advertisement System II
第8周
TensorFlow和深入学习介绍
·Tensor flow 基础搭建机器学习模型 I Introduction to Tensor flow I
·Tensor flow 基础搭建机器学习模型 II Introduction to Tensor flow II
·机器学习总结 Machine Learning Summary
·深度学习 CNN I , Deep Learning CNN I
第9周
深度学习和强化学习入门
·深度学习 CNN II, Deep Learning II
·强化学习 1 - 入门介绍：Basic introduction
·目标检测算法与R-CNN, Introduction to the object detection algorithm and R-CNN（
Fast R-CNN与Faster R-CNN, Fast R-CNN and faster R-CNN
第10周
计算机视觉和强化学习
·强化学习 2 - 马科夫决策过程（Markov Decision Process MDP） Reinforcement Learning II
·强化学习 3 - 游戏项目1 - FrozenLake Reinforcement Learning III
·人脸识别 I, Face recognition I
·人脸识别 II, Face recognition II
第11周
自然语言处理NLP-RNN 和强化学习深入
·强化学习 4 - Deep Q Network - Reinforcement Learning VI
·强化学习 5 - 游戏项目2 - OpenAI - Atari Game - Reinforcement Learning V
·CNN 框架对比 CNN Model Comparison
深度学习的应用, Project: Application with deep learning
第12周
自然语言处理深入NLP-RNN
·机器翻译 seq - to - seq model , Machine Translation I
·机器翻译 seq - to - seq model 2, Machine Translation II
·推荐系统 word - vector, Recommendation I
·推荐系统word - vector 2, Recommendation II
以上课程包含了从Python入门到机器学习再到深入学习及应用整个学习系统，涵盖了时下最热门的机器学习算法知识，实战玩转20余个项目，让你优秀的项目经历为简历添彩一百分，自此从AI的风卷云涌中脱颖而出。
适合人群
1、热爱人工智能，欲转行AI
2、零基础想入门或已有基础希望深度学习
3、已是IT从业者欲提高技能水平
4、有积极的学习态度和发展目标
若您满足以上任何一条，请迅速咨询报名！现在报名可立即享受减免1500刀的终极优惠！
首周免费试听课将于3天后开始，
还在等什么？扫码进入课堂吧！
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In addition, the second phase of the highly praised algorithm training camp is about to start registration. Have you been eager to try the most powerful teachers and the most thoughtful service? Sign up to give you the super-powerful lintcode VIP permission for the whole year, allowing you to use the optimal solution to brush nearly 1,000 real interview questions of famous enterprises (the number of questions available to ordinary users is 550). The free VIP giveaway is in progress . For more information, please scan the QR code below to view.
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