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General manager Pei 10 operates to build the best lineup? The US media is still worried about the poor record: try 3 for 1 bogdan.

The Los Angeles Lakers just renewed Anthony Davis with a maximum salary of 186 million yuan for three years. It is said that Ricky Paul called thick eyebrows and said, "The Lakers are willing to renew their contracts in advance and you will give them a maximum salary." AD immediately agreed cheerfully. In the next five years, the salary of thick eyebrows will be as high as 270 million, and Ricky Paul will earn a large commission.

Pelinka, vice president of Lakers operations, completed 10 operations this summer:

1. Renew the contract with 186 million yuan in advance in three years;

2. Renew Reeves for 54.2 million yuan in four years;

3. Renew Bacunlei with 51 million yuan in three years;

4. Renew Russell for 36 million yuan in two years;

5. Signed Vincent for 33 million in three years;

6.1 years, 4.5 million signed Prince;

7. Signed Reddish for 4.6 million in two years;

8. signed Hayes for 4.5 million in two years;

On September 17th, Shifino was selected; (17.89 million in four years)

Lewis was signed on October 40; (4 years, 7.69 million)

StatMuse, a data media, thinks that Pelinka’s operation has created the strongest lineup of the Lakers, and ESPN also predicts that the Lakers will win at least 46.5 wins and rank in the top five in the Western Conference next season without playing the play-offs.

However, NBA Analysis, an American media, doesn’t think so. They think that the Lakers may trade before the trading deadline next season. The record of the Lakers is not necessarily good. What will happen next season is still unknown. Ham is not satisfactory. He may not know how to use multiple front lines. Bogdan Bogdanovic may be traded before the deadline.

The trade plan is that the Lakers send Vincent, Vanderbilt and Prince to get bogdan and bogdan.He scored in double figures in all six seasons of his career. Last season, he averaged 27.9 minutes per game, scored 14 points, 3.1 rebounds, 2.8 assists and 0.8 steals, hit 44.7% and hit 40.6% from three points. He was an excellent organizer and broke up with San.

Bogdan is a killer in the international arena. He was the scoring champion in the 19 th World Cup, with 183 points in 8 games.The shooting percentage is 55.6%, and the three-point shooting percentage is 53%. He can effectively reduce the scoring pressure of Zhan Mei.

The prerequisite for bogdan’s deal is that the Lakers have a poor record before the deadline for next season’s deal, otherwise such a deal should not be made.

Text/Yan Xiaobai’s Basketball Dream

Skip: Thick eyebrows are Top10 in the league when they are healthy and progressive, but I guess he can only do that in a quarter of the games.

Live broadcast, August 5 th According to Woj, agent Ricky Paul revealed that Anthony Davis and the Lakers reached a three-year, 186-million-dollar contract extension in advance, which will last until 2028.

Skip even commented: "So the Lakers have signed the next 256 games with Davis until 2028. When he is healthy and motivated, he is a Top10 player in the league. But how many of these 256 games can he stay healthy and motivated? Optimistic, 64 games, a quarter. "

How can universities improve the employment quality of big data artificial intelligence students through school-enterprise cooperation/laboratory construction?

How to set up relevant majors and guide employment in combination with market demand for talent training in colleges and universities has always been a hot topic in the employment work of colleges and universities. The eternal principle is that the establishment of colleges and universities cannot be too far away from the market demand. The best way to combine them is that colleges and universities are forward-looking and can take a step ahead of the market, cultivate future talents and serve the future market.

At present, the problems encountered by colleges and universities are that, in the talent training mode, when setting up the talent training mode, colleges and universities often ignore the real employment demand of the market, pay too much attention to theoretical teaching, and ignore the cultivation of students’ practical ability and project thinking in the face of real business projects, resulting in students unable to find jobs that match their career plans in the real job market, and enterprises cannot find digital talent reserves with real practical ability.

How to break the dilemma of colleges and universities? Based on more than ten years of practical experience in the data intelligence industry, Teddy Intelligent Technology focuses on the direction of big data and artificial intelligence, and summarizes the following methods to improve the employment quality of colleges and universities and help students get rid of the difficult employment situation.

First, establish a big data laboratory

The general goal of laboratory construction is to build a one-stop teaching service platform, and the concept of one-stop teaching service platform is put forward on the basis of a deep understanding of discipline construction and existing problems in colleges and universities. Around all aspects of discipline construction, we provide a complete product system from the aspects of specialty setting, curriculum setting, teacher training, teaching resources, experimental environment, students’ practical training and employment and entrepreneurship, so as to meet the needs of different stages of discipline construction and talent training in colleges and universities.

University big data laboratory

Big Data Lab provides teaching and training resources, teaching and training platforms, and provides teaching services.

While cultivating students’ practical ability, it also provides integrated data analysis and application solutions from modeling to application for scientific research, empowering scientific research applications in universities and helping teachers to quickly apply scientific research results.

Second, strengthen the strength of the teaching staff

University teachers have been focusing on teaching and research in professional fields for a long time. In the face of emerging industries such as big data and artificial intelligence, it is inevitable that they will be out of touch with the actual situation of the industry. Faced with this situation, colleges and universities can actively cooperate with enterprises, organize professional teacher training courses jointly with enterprises, organize teaching teams to go deep into the front line of enterprise business, and lay a solid foundation for teachers to prepare lessons efficiently and teach related professional courses smoothly through the teaching method of combining cutting-edge theoretical knowledge with relevant real cases, which ultimately improves teachers’ engineering practice ability and teaching level, and promotes professional teaching reform.

Teacher training

In 2023, Teddy Intelligent Technology organized eight special trainings for teachers, including:

1, data acquisition and processing in actual combat (Python)

2, business data analysis (Excel+Power BI)

3. Big Data Analysis and Machine Learning (Python)

4. Online public opinion and sentiment analysis (Python)

5, PyTorch and artificial intelligence actual combat,

6, computer vision application actual combat (PyTorch),

7, computer vision application actual combat (TensorFlow),

8, natural language processing actual combat (TensorFlow)

The significance of school-enterprise cooperation lies in the win-win situation between schools and enterprises, helping students to go out better. Guided by the demand for industrial talents and aiming at the training of practical talents, schools and enterprises make full use of their respective superior resources to carry out multi-faceted cooperation and jointly build a big data practice base. On the one hand, it provides students with a good practice environment and training projects. At the same time, enterprise engineers and university teachers jointly carry out the practice of training projects to improve students’ overall practice level and social competitiveness, and ensure the specifications and quality of big data-related personnel training. Through the benign interaction between universities and enterprises, we will create good conditions for students’ internship and employment, and ensure students’ internship and employment. In the stage of students’ professional internship, students will "go out" and really participate in the project practice of enterprises, understand how to use big data knowledge to solve specific problems in specific business applications, provide students with practical application ability and accumulate industry project experience. Really participate in the practice of enterprises, further understand the industry norms of enterprises, and enhance practical ability.

More talent training programs in colleges and universities can be found in Teddy Intelligent Technology official website to learn more ~