Recently, due to the explosion of ChatGPT, many people are very anxious. The following is the mood of a good friend I saw! I don't know if everyone has the same feeling! ~
I feel that many people have such worries when they see ChatGPT. Does this concern originate from the fact that if the parameters of the neural network are large enough and the training data is large enough, even a simple structure can achieve the effect of chat GPT? If so, all the various algorithms at present have become the stepping stones of LLM?
(Image source: Screenshot of public account)
Due to the explosion of ChatGPT, the future development of many industries is uncertain, and technicians want to change careers and change jobs to algorithm positions with bright prospects and high salaries. (The salary of an algorithm engineer is obviously the highest among various technical positions. For more details on the average salary of technical positions, please refer to the figure below)
In fact, even the algorithm team has a 350:1 application-to-hire ratio . Many HRs of well-known enterprises and large factories are still complaining that it is too difficult to recruit suitable candidates. Huawei will offer an annual salary of 2 million, and the Ali Dharma Academy will hire fresh graduates with an annual salary of more than 1 million . High salaries are the factual basis for the lack of people in enterprises, but it is also a fact that there are many people who cannot find jobs.
The problem is that there are many people applying for algorithm positions, but very few are actually qualified. The abilities of job seekers cannot match the needs of core AI positions in front-line enterprises.
In order to help you solve the above problems, we will truly grow into algorithm talents who have the ability to interview domestic front-line algorithm positions.
Badou College, together with famous enterprises and big factories, jointly created the industry's first immersive [big factory actual combat assault class] training , and invited former Weibo, Baidu algorithm experts and other first-line big factory in-service experts to provide you with the most cutting-edge algorithms Intensive training.
Training you into the most outstanding enterprise and the most core algorithm post technicians is our only goal of this [Dachang Practical Assault Class Training] to empower future algorithm talents .
The number of places in this class is limited. If you are interested in this program, you can add a course consultant now to review the conditions and lock the place.
We dare to make a promise to you: if you join the course, you will get a full refund if you don’t get an Offer, and a full refund if your annual salary is less than 25W.
Scan the QR code to add a course consultant, and note "Consulting Course"
From going ashore, maybe only this assist
core content
In order for students to learn ready-to-use technologies in enterprises, all of the experts we invite are on-the-job experts from first-line Internet companies, who have technical and management experience and have been responsible for large-scale core projects of enterprises. Make sure that the students learn to learn the essence, and can truly be responsible for the results!
Eight enterprise-level practical projects
Project 1: Item portrait construction
The basis for building content portraits
Keyword extraction technology tf-idf, textRank
LSTM and attention mechanism
Several common ways of Attention
Self-Attention
Multi-head Attention
Use of HuggingFace
MySQL database construction
Project 2: User portrait
The relationship between user portrait and content portrait
The structure of user personas
Expansion of user personas
User portraits and sorting features
Calculation method of label weight (Bayesian smoothing, time decay)
Recall method based on user portrait
Use of Hadoop, Hive, Spark and other tools
Project Three: Recall Project
MF recall method and solution
Eigenvalue Decomposition
SVM of traditional singular value decomposition
The relationship between Embedding and sparse ID class features
Item-CF recall with Item2Vec
Airbnb sequence recall and cold start mitigation ideas
YouTube recall method
From DSSM to Twin Towers Model
Two-tower model industry deployment method
multiple interest recall
MIND recall
Faiss tool introduction
Project Four: Portrait Recall
Random walks compared to traditional collaborative methods
Deepwalk
Node2Vec and its homogeneity and structure
LINE
Implementation of random walk
Alias sampling method
Spark realizes the realization of Graph Embedding
Eges Large-Scale Graph Recall
DHL experimental pinsage for recommendation
Item 5: Precise Sorting of Recommender System
Ranking and user portrait
Goods image
LR model
GBDT+ LR
Detailed explanation of FM model, industry usage methods and pitfalls
FFM model
AUC and GAUC
Ranking fine sorting based on FM
Automatic combination of features: Deep&Cross, XDeepFM, PNN
Sequence recommendation models: DIN, DIEN, AttRes, Stamp
Introduction and use of deep model tools
MLSQL
DeepCTR etc. and industrial sampling methods
Project Six: User Behavior Mining
User portrait concept
Three types of labels for users
Label construction based on user behavior
How the DMP platform uses labels for targeted advertising
Machine Learning Category Labels
Project 7: Real-time recall system construction
Real-time recall system architecture
Real-time recall based on user behavior
recall model deployment
Detailed Recall Algorithm
Recall Assessment Methodology
Project 8: LBS area recommendation based on big data
Introduction to MapReduce
User Behavior Log Analysis
Applications of Clustering Algorithms
lbs recommendation based on region clustering
Hadoop implements lbs regional hotspot recommendation for clustering of millions of users from 0-1
The project starts from the algorithm point of view to solve algorithm problems, focusing on strategy explanation, and combines 8 major enterprise-level practical projects , from offline to online, from engineering to strategy, from local to global control, to cultivate architectural thinking and problem-solving ability. Take everyone step by step to understand and complete practical cases that will be used in enterprises, and enter the field of algorithm learning as soon as possible.
Since the knowledge points cover a lot of content, I won’t go into details here. If you want to learn more, you can customize your own improvement plan.
Scan the QR code to add a course consultant, and note "Consulting Course"
1v1 customized study plan
past learning effect
The employment situation of the trainees in the last phase of this training program shows that 90% of the students have already received job offers from well-known companies at home and abroad. The highest monthly salary of the latest employment students is 65K!
The status of some students in the past: In order to protect the privacy of the students, the names of the students are withheld . The following is only part of the employment information of the students. If you want to know more employment information, please contact me.
[1] Mr. Zhou successfully transformed into a big data algorithm post, and his salary was 65w. Sure enough, the big cows are silently improving. Don't be a frog in the bottom of the well anymore, and make changes quickly.
The advantages of choosing systematic learning are that the teacher leads the learning of project knowledge, the teaching assistants answer questions one-on-one, and the after-sales teachers are enthusiastic in their service.
【2】After 4 months of study, Yang’s annual salary has successfully exceeded 500,000 yuan. Now he is the head of the big data department of a company with an annual salary of 560,000 yuan.
【3】Student Ding has already received an offer of 450,000. After studying in Badou for 4 months, his overall salary has increased by 75%. Every effort has a reward. Tomorrow there will be a Byte finale. Looking forward to Byte’s offer.
【4】Student Li successfully joined Kuaishou Company through internal referral from Badou Academy. Li said that thanks to Badou’s internal referral service, he had the opportunity to join Kuaishou. He got a high salary of 33*15. Now the probationary period has passed Yes, full of joy.
In the past, through the internal referral of our Badou College, the recruiting was very efficient. Many of the internal referrals were from big factories. Only by helping everyone learn the technology and find a good job can we gain a good reputation
Word-of-mouth is very important to an education company, so we are also very result-oriented and responsible for the results. come on! !
【5】Student Li transitioned from Java to a big data development post, from an annual salary of 25k to now 30k*14+ equity dividends, really amazing. The key is that he has learned the essence of Teacher Xu Feng's lessons.
In Badou, the constantly refreshing employment news can best ignite my passion and fighting spirit. I deliberately share it to encourage the students who are studying.
【6】Student Sun successfully got the big data offer after 4 months of systematic study in Badou, with an annual salary increase of 100%.
Since its establishment eight years ago, Badou has provided tens of thousands of outstanding technical talents to the society, mainly focusing on "teachers and course content".
Installment service and employment security
The course can provide students with 3, 6, 12 installments
full refund
Sign up and sign an employment agreement with a guaranteed salary increase of 40%. If the offer is not received after the course is over or the salary of the offered employment does not reach the annual salary of 250,000, all tuition fees will be refunded.
No reason refund within 7 days after registration: Within 7 days after registration for formal courses, students can apply for a refund, and Badou College will refund all tuition fees without reason.
Scan the QR code to add a course consultant, and note "Consulting Course"
Lock installment quota