Baidu cloud disk address
Course Outline
the first week
[School readiness] opening ceremony: how to prepare for spring trick or interview? Case [resolved] understand the characteristics of engineering and machine learning model evaluation
[video] understand the lessons of classical supervised learning algorithm
[Title] brush array class problem
[Live] Saturday Night Live + Q & A Lesson
the second week
[Video] class support vector machine learning
concepts to resolve
.SVM optimization problem
hard to derive the interval SVM optimization problem of
linearly separable SVM
kernel function
.SMO algorithm
[i] understand the video machine learning how to reduce the dimension
• PCA and LDA
[brush title issue +] string table lookup problem
[live] Saturday night live Q & A + class
The third week
[Video] understand the lesson unsupervised learning algorithm machine learning
algorithm to derive from the EM algorithm kmeans
video lesson] machine learning probabilistic graphical models
.hmm lead and problem description
.HMM Witt prediction problem of the Viterbi algorithm
.crf of Some basic concepts
.crf specific description
[title] brush list problems + stacks, queues problem +-bit computing problems
[live] Saturday Night live + Q & A Lesson
the fourth week
[Video] class before the neural network
-network map and the activation function
to spread the front-
selected loss function ·
· backpropagation
[video] Course Recurrent Neural Networks
.RNN
.GRU LSTM and
[Title] Tree brush type of problem class FIG problem +
[live] Saturday Night live + Q & A Lesson
fifth week
Principle [video] class integrated learning and integrated learning common
principles and common interview questions GBDT
principle lesson [video] xgboost and common interview questions
[Title] brush recursive backtracking problem + dynamic programming problem
Sixth Week
[Video lesson] understand optimization principles common to explain the optimization algorithm
[Video lesson] Learn about common sampling methods, the role of specific implementation and application of common explain sampling and MCMC derivation
[camped] Closing summary Replay + outstanding students interview experience sharing
