Limited to 100 places to experience
Try to learn 7 days only 8.8 Yuan
Starting time: October 23
Learning: Online learning + tutoring live
Projects: 9 large real projects, 21 cases explain
Assistant, teacher tracking guidance
| K-NN nearest neighbor | linear regression | logistic regression |
| Convex optimization | Naive Bayes | SVM |
| Tree | random forest | GBDT |
| XGBoost | matrix factorization | K-Means |
| GMM | topic model | EM | clustering | PCA |
Four skills to become outstanding harvest algorithm engineer
Knowledge :understand the inherent link between the principle behind the algorithms and algorithms.
Combat :learn how to apply the principles learned in the actual work among.
Logic :train analogy, problem solving ability, and improve logical thinking.
Business :classic case of extensive contacts in the industry, to deepen understanding of the business.
IT practitioners : AI zero-based, entry-wish machine learning, and be able to apply technology to their own AI scene
Students : science and engineering related professional, want to learn machine learning
Internet business : think fast machine learning technology into practical work
AI practitioners : I hope to have a deeper understanding of machine learning
Parents Parents : Want to inspire children interested in artificial intelligence
No project practice hand, look here! This course contains a number of practical projects, both to explain every case the main line to explain the core knowledge points to help train students hands-on ability, problem-solving skills and in-depth understanding of knowledge.
1, regression analysis to predict height
2, using the KNN resume screening
3, used car prices forecast
4, the stock price of the quantitative investment forecast
5, the predicted CTR
6, using the L1 canonical analog sparseness neuroscience
7, spam classification
8, employee turnover rate forecast
9, based on random forest analysis of disease
10, using the GBDT solve scheduling problems in search
11, face recognition
12, cluster-based consumer group classification
13, the content recommendation algorithm movie recommendation engine
14, the music recommendation engine based on collaborative filtering algorithm
15, the OCR recognition engine build
16, using clustering algorithms compress images
17, theme-based model and SVM text classification
18, question answering system set up
19, using the kemel SVM identification of medical images
20, using clustering algorithms compress images
21, the direction of propagation algorithm to build from zero
Limit 100 Ge experience places
Try to learn 7 days only 8.8 Yuan
Try learning content contains
" "
" "
read the original or two-dimensional code scanning
Please add a class after the micro-channel payment,
Access to the exclusive VIP community, assistant teacher counseling.
A. push the whole formula, make sure you understand the depth of the core algorithm.
B. Project source code comments are clear, look at the code can be addictive!
C. interactive study guide, real-time detection learn income.
D. need to install any environment, programming is completely dependent on the cloud.
E. Project Code audit work, the teacher carefully correcting errors flaws at a glance.
Teaching and research team are experts in industry and academia, it has a wealth of teaching experience and practical experience. Professional and forward-looking contents of the escort.
Limit 100 Ge experience places
Try to learn 7 days only 8.8 Yuan
Try learning content contains
" "
" "
read the original or two-dimensional code scanning
Please add a class after the micro-channel payment,
Access to the exclusive VIP community, assistant teacher counseling.