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Last night and early this morning, there were four rematches in the 25th round of La Liga. The four home teams all scored points-Real Madrid beat the Spaniard 3-1 at home, while elche tied Balado Lide 1-1 at home; Certa beat Vallecano 3-0 at home, while Valencia beat Osasuna 1-0 in Mestalla and escaped from the relegation zone.

In terms of standings, Real Madrid shortened the gap with Barcelona to 6 points. Vallecano and Osasuna both lost and still ranked seventh and eighth; Valencia’s home win pushed Seville and almeria into the relegation zone, and the two teams will also have a direct dialogue in this round.

Real Madrid C.F.

Spanish

three

one

Real Madrid welcomes Spaniards at home. The Spaniard who fought away from home scored in the 8th minute, Ruben Sanchez crossed, and Jose Lu seized the opportunity to score 0-1. In 22 minutes, Venesius hit the right foot in the penalty area to equalize the score, 1-1. In 39 minutes, Chuameni assisted Militao to score a header, and 2-1, Real Madrid took the lead and entered the second half. In the 93rd minute, asensio, who came off the bench, received a pass from Na Qiao and scored another point. Real Madrid won 3-1 at home.

Elche

Real Valladolid Club de Fútbol

one

one

Elche, which ranks at the bottom, welcomes Balado Lide who has escaped from the relegation zone at home. Four minutes after the opening, Balado Lide was assisted by Olasa to score a goal by Lalin, 0-1. In 16 minutes, Plano hit the door slightly at a small angle. In 34 minutes, Boyer’s header missed. Elche trailed 0-1 in the first half. In 59 minutes, Boyer’s long-range shot was blocked. In 84 minutes, Raul Guti hit the door in the restricted area and was thrown. In 96 minutes, Morent volleyed and scored a tie, 1-1. Since then, Mesa and Hogela have been sent off for the second yellow card in this game. In the end, each side will get one point.

Certa Vigo

Vallecano

three

Zero

Certa, who played at home, took the initiative. In the 5 th minute, Bega’s long-range shot was saved. In 11 minutes, Lejon hit the door slightly higher outside the restricted area. In 41 minutes, aspas missed the goal from the left side of the penalty area. In the first half, the two sides drew a blank. In the 51st minute, Harvey Garland assisted aspas to score a goal from the left in the restricted area, 1-0. Then, carles Perez’s shot caused a Sis own goal, 2-0. In 85 minutes, aspas scored his second goal in this game, and Certa beat Vallecano 3-0.

Valencia

Osasuna

one

Zero

In the 6th minute, Diaca missed the header. In 11 minutes, Abd shot high. In 33 minutes, Hugo Duro shot in the restricted area and was saved. In the first half, the two sides drew a blank. Easy side fight again, 55 minutes, Avila shot high from the left side of the restricted area. In 74 minutes, Lino assisted Kluivert to score the only goal in the game, 1-0. In 89 minutes, Valencia got a penalty opportunity, and Hugo Duro was saved from the penalty, and the score remained unchanged. In the end, with the goal of Kluiwitt, the Bat Corps, which ranked second to last, won the game 1-0 and gained 3 valuable points.

How many content creators keep up late to cut videos of liver explosion? Have you ever thought that one day we can get rid of this heavy work and be done by AI instead? In fact, judging from the development status of AIGC industry, the above imagination is entirely possible to become a reality, and it may be in the near future.

From the perspective of Xiaobian, the content editing industry will go through three stages of development, and we are currently in the initial state of the second stage.

The first stage: pure manual editing

In the traditional sense, it is the manual editing of staying up late to burst the liver. The quality of editing depends on the level of editors and the time spent. This stage is characterized by "high labor intensity" and "a lot of repetitive work". It is precisely because of this pain point that with the progress of technology, the pain point of "excessive physical labor" was first solved by AI. After all, what AI is best at is simple and repetitive labor.

The second stage: manual +AI collaboration stage

AI is good at simple and repetitive movements, but AI is not only good at simple and repetitive movements. So the development of video editing industry has entered the stage of "manual +AI collaborative editing". From the clipping used in our daily life to some commercial clips in the toB field, we can see that AI smart clips are active among them.

Watson, an artificial intelligence system of IBM, edited the trailer for the sci-fi thriller movie Morgan as early as 2016. The technical team collected 100 thriller movie trailers for Watson to machine learn. Watson’s unique training model tagged the details of these trailers, such as picture, audio, scene connection, sound configuration, etc., decomposed and learned one by one, and assigned them to its own creative model. Finally, Watson successfully used the trained data model to select materials from 90-minute movies, and edited them into a 6-minute trailer, which was successfully put into use for film announcement.

Up to now, this kind of intelligent matching tool platform has evolved to the extreme, and ordinary users can simply use AI function for intelligent editing. On the local AI intelligent graphic-to-video platform, one frame per second is the highest, and the user inputs the edited copy. AI will automatically perform intelligent picture matching from the platform’s powerful online material library, presenting its own intelligent video generation results in seconds, and matching all-round details such as pictures, dubbing, subtitles, etc. in one stop. Users can directly export and use it with simple confirmation, especially in the production of popular science content and simple sharing content with low editing difficulty.

At the same time, AI, as an auxiliary tool of intelligent editing, is also blooming in the development direction. At present, all kinds of AI-enabled editing software emerge in an endless stream, some of which support intelligent graphic-to-video, some of which focus on recording and cutting, and some of which can simulate the voice of the user for dubbing modification and adjustment. The "scoop" can also be quickly corrected through AI. In short, the current AI intelligent editing industry is in a thriving development trend. It can be said that with the progress and integration of technology, AI will be fully involved in the field of intelligent editing, and our video editing work will be greatly released.

The third stage: pure AI editing stage

In the future, AI will run video editing in the whole process, even the currently difficult "audit" work. This is a bold idea put forward by Xiaobian, which has certain subjectivity. The main idea of this view is that the compliance and rigor of AI creation are unmatched by human editing. At present, AI editing is still in the primary stage, so human assistance is needed in content review and sensitive screen screening. However, the speed and capacity of AI learning is far beyond that of human beings. With a large number of legal provisions and review rules being learned by AI, the whole process of video editing will be completed by AI.

AI can even avoid problems such as audit omission caused by human fatigue and negligence. Even, while recording and cutting, real-time synchronization, the completion of shooting is a piece of export, which is not completely impossible. In addition to the research and development of AI automatic editing software, there may be AI shooting intelligent hardware devices, workstations and other products in the future, so as to maximize the convenience of video production. The development of AI technology makes us more daring to imagine its bright future.

In addition, what really makes Xiaobian feel that the intelligent editing industry will eventually rise vigorously is that the existing problems "seem" are not problems, and AI will eventually break them one by one with strong technical strength. When the AI industry was just beginning to develop, we were worried that AI would replace some human jobs. At that time, the prediction given by the technology industry was that "art, creativity and other jobs that need to exert human imagination will not be replaced".

However, at present, AI’s original painting has become a reality, and the field of artistic creativity has become the first industry to be impacted. It can be seen that AI’s "imagination" is far beyond our imagination, and the speed of technology iterative update is much faster than expected. The future is really coming.

Last year, the Australian government launched a global talent program project, which is GTI, I would like to be unfamiliar, this is an immigrant project. One of this is very eye-catching, that is –fintech.

In the entire Git project,FINTECH is the only direction related to the business sectorAnd, Australia’s demand for talents in this direction is very strong. So,What is FINTECH, why is this talent in this area?

01

Who master Fintech, who can enter a famous enterprise

FINTECH is the abbreviation of financial technology, it is popularUse various types of technological means to innovate reform traditional financial industryProducts, thereby increasing efficiency, reducing operating costs. For example, everyone usually used WeChat payment, Alipay is one of financial technology.

With the rise of artificial intelligence, more and more financial companies have gradually transformed into financial science and technology.Among the top five Internet financial institutions in the world, there are four Chinese companies.That is to say, whoever masters Fintech, who can enter the famous enterprises.

In the "Fintech Development Plan" issued by the People’s Bank of China, the highest planning of future financial science and technology work. And in the "Certified Public Accountant" known as the financial industryCFA, the topic of the Fintech theme, There is no shortage of manual intelligence, machine learning, big data, automated transactions …

02

FINTECH industry salary high, positions

FINTECH is currently used in a variety of industries, borrowings, wealth management, payment services, insurance, credit, housing intermediaries, etc. Because it can replace many traditional financial results,Use intelligence to replace human and material resources, intelligent will be a future trend.

Fintech industry salary is also very high, options, stocks are also available, and you can also get new things and new challenges every day.

Tell you someCurrently popular FINTECH positionsThe block chain is one of the fastest growing skills of financial skills. Therefore, the demand for block chain developers is very large. Other is financial analysts, network security analysts, quantitative analysts, compliance experts, business development managers, etc.

03

Financial background + technology skills two steps

Speaking here,Do you interested in the Fintech industry? So, what skills do you need to enter this industry?First of all, it is definitely a financial background, followed by technology skills. Therefore, entering this industry requires rich financial knowledge, it also requires technical capabilities, such as Java, Python, C ++, etc.

forStudents with computer or financial industry bases, it is very advantageous to enter the Fintech industryIn the advanced, there are these cross-skills, you will learn very quickly. And in China, ant prostitutes, Jingdong finance, etc.

Of course, if you are not a lot of background, it doesn’t matter, you recommend a course for you.Dr. Tsinghua University computerChen Wei explained for everyone"FINTECH Data Analysis and Risk Prediction of Job Search"It will make a case-scented scenic examination for Fintech, and use a communical case such as a loan default, let you seize the essence of Fintech. Now only need0.99Yuan, you can learn from class, quickly sign up, to enter the Fintech industry.

Entering the field of financial science and technology

Cast "Ren Decoir" of the skills interoperability

More than the number of people is more, please wait patiently

04 FINTECH courses five advantages

Advantage 1: Case Site Jinghua Teaching

This course will be targetedFINTECH application scenario case analysis pattern teachingLet you know the Fintech, and know the company’s necessary technology, the company’s must-have technology required in the job search,There are some common machine learning surface test questionsLet you take a while when you interview, calmly face.

Teacher also introduced some of the more interesting Fintech projects to let you form a certain precipitate at the application level.

Advantage 1: Ph.D. in Computer, Tsinghua University

This course is taught by artificial intelligence experts, Dr. Tsinghua Computer, Chen Yu, who is Alibaba Cloud MVP, Tencent Cloud TVP. Multi-year artificial intelligence, data analysis, financial science and technology receive teaching experience, can learn from the students to learn from the students.

He is also a member of the IEEE ACM Member China Artificial Intelligence Association. He has won 2 NOI Competition first prize at the CCF Database Committee, 2 ACM Competition Asian Copper Awards, "Data Analysis" "SQL must know" column author, More than 100,000 fans published multiple SCLs in the artificial intelligence.

Advantage 3: Code practical drive teaching

The course is written in real baseline code, the teacher will take your hand with your hand, Baseline baseline tuning, etc.

The three-day course is gradually entered, just to help you enter the Fintech industry.

Advantage 4: Temcripping + Class Supervision Teaching

In addition to the leading teacher, this training camp.It is also equipped with professional assistant teachers, you have problems encountered in courses or doing homework.You can ask questions in the WeChat group, and the assistant will help you solve it in time.

Every day, you will remind you to go to class, urge you to learn, don’t worry about yourself because inertia doesn’t want to be class.

Advantage 5: Course Outlet Background Rely

This course is provided by the course, starting a class is a online vocational education unicorn company,In 2013, it was officially launched, and the accumulated paid students more than 5 million.For college students and in-service staff, provide diversified curriculum systems and talent services such as professional ability advanced, vocational qualification examinations, and help students achieve sustainable occupational growth.

In the 2020 CCTV Network Education Festival hosted by CCTV,Start a class, win 2020 reputation influence vocational education brands. If you want the workplace, you should first polish your eyes, choose the lead in the industry, and you can’t miss it.

Entering the Fintech industry requires strong knowledge, here is in class, also prepared for everyoneLearning materialsSpree, let you broaden your knowledge.

The information includes: 4 this AI good book and 8 artificial intelligence knowledge maps.

"Artificial Intelligence A Modern Approach Artificial Intelligence – A Modern Method": Artificial intelligence, Mit, Stanford, Harvard, etc. The artificial intelligent textbooks of many famous schools are preferred to expect to become a true artificial intelligence professionals and classmates who accept system training.

"Deep learning: Deep Learnin": From basic statistical and calculus, help master the most advanced depth learning technology. Suitable for classmates who use and want to learn how modern deep learning systems, principles, and methods.

"Handsmanship Machine Learning: HANDS-ON MACHINE Learning": Pure code driver, from theory to the best way to practice, from understanding theory to solve problems. Suitable for students who wish to solve artificial intelligence issues.

"Smooth Python: Fluent Python": Suitable for mastering basic Python programming capabilities, hoping to master more good programming capabilities, becoming a real programming "professional player" classmates.

Entering the field of financial science and technology