标签归档 南京夜生活交流

Guangdong men’s basketball team defeated Guangsha team, and Du Feng encouraged the players’ morale. Why didn’t Du Feng let Shabazz play?

Guangdong men’s basketball team defeated Guangsha team, and Du Feng encouraged the players’ morale. Why didn’t Du Feng let Shabazz play?

Guangdong men’s basketball team was defeated by Guangsha team, and Du Feng encouraged the morale of the whole team. Why didn’t Du Feng let Shabazz play? Guangdong men’s basketball team fought against Guangsha for the second time, and Wang Bo once again staged the nemesis of Du Feng. After four fierce battles, he finally defeated the other team at 98: 87. Counting the battles between Guangdong Men’s Basketball Team and Guangsha, it has always been more defeats than wins. In the last eight battles, Du Feng lost five games, which is a history of Du Feng’s blood and tears. At the beginning of the game, Wang Bo exercised tactical restraint on the Guangdong men’s basketball team. Sun Minghui, who had a poor hand feeling in the last game, was completely furious in this game, and the opening helped the Guangsha men’s basketball team completely defeat the Guangdong men’s basketball team, pulling the score difference to more than 10 points. At this time, Du Feng reacted, adjusted the lineup in time, and wanted to score points. However, Wang Bo knew Du Feng too well and predicted Du Feng in advance.

In addition, the morale of the Guangdong men’s basketball team dropped greatly when it lost the opportunity, and finally the three-point feel failed collectively, and only nine of 44 shots were made in the audience. Faced with such a situation, Du Feng was powerless. Fortunately, the Guangdong men’s basketball team started with defense. Under the strict defense, it was difficult for Guangsha men’s basketball team to expand the score and finally beat Hongyuan men’s basketball team 98: 87. Regarding this game, Du Feng said in an interview after the game that this game was his carelessness, and there was a problem in the offensive and defensive conversion of the whole game. More importantly, the Guangdong men’s basketball team had won the playoff match point, which led to the negative mentality of the players. All kinds of situations added up to this defeat. In the end, Du Feng emphasized that the next Guangdong men’s basketball team will return to the home court. With the support of the home fans, it is bound to be fierce, eventually defeating the Guangsha men’s basketball team and joining forces with Liaoning in the semi-finals.

What was the defeat of Guangdong Men’s Basketball Team? Analysis of the reasons for the failure of Guangdong men’s basketball team to defeat Guangsha team. First, the defense is not done well. The attack can win the game, but the defense can win the championship. The Guangdong men’s basketball team can win 11 championships. The defensive end is the most important thing, but it does not limit the play of the opposing players in this game. Sun Minghui and Hu Jinqiu, the leading men’s basketball players in Guangsha, scored 41 points, accounting for half of the team’s score. At the beginning of the game, Hu Jinqiu, Li Jinxiao and Xu Zhonghao’s double tower tactics directly defeated the inside of the Guangdong men’s basketball team, especially Xu Zhonghao’s deterrence in the basket was great, which well limited the Guangdong men’s basketball team’s investment. On the outside, the connection between Sun Minghui and Zhao Yanhao greatly increased the defensive strength of Guangdong Men’s Basketball Team.

More importantly, Wang Bo’s tactical system was better. Although Du Feng repeatedly tried to arrange a tactical system to encircle Wang Bo, he could not hold Wang Bo’s plan, and he was restrained to death. Rebound could not beat Guangsha, and both ends of the attack and defense were also smashed, eventually defeating the other side. To put it bluntly, Wang Bo is not Yang Ming, and it is not worth Du Feng’s time to study him thoroughly.

At this time, many fans will ask again, why didn’t the newly signed swingman Shabazz play? To reveal the reason why Du Feng refused to let Shabazz play, in the match against Guangsha, Ma Shang felt very bad, and he had unlimited fire power, but only 5 of 15 shots, 2 of 10 three-pointers, plus or minus 20, which means that Ma Shang lost 20 points on the court. At this time, some fans suggested that Shabazz should be replaced, so that the swingman can show amazing strength and help the Guangdong men’s basketball team fight back. Du Feng also heard this request, and then let Shabazz go up and play soy sauce for four minutes to save it. So why doesn’t Du Feng let Shabazz exert its strength?

Personally, there are several main reasons. First, Shabazz is a secret weapon, specially prepared for Liaoning men’s basketball team. In this game, it will exert its strength and let Yang Ming know clearly, and then it will be able to study the corresponding tactical restraint, which will not play the role of cavalry. Secondly, Shabazz is a swingman in the offensive line, so he needs excellent back line to provide support. Otherwise, he is a loophole, and Guangsha men’s basketball team can live as they want. More importantly, in order to give back to the fans, Du Feng will attack in Guangdong for three times, so that Guangdong fans can watch the game on the spot, and Zhu Fangyu can earn tens of millions of tickets. Why not?

Generally speaking, the Guangdong men’s basketball team will still beat the Guangsha men’s basketball team by virtue of its overall strength, and finally play a better game than the semi-finals and finals with the Liaoning men’s basketball team.

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 ~

<body><p><span id="article-img-0"class="a-image"><img src="https://i1.go2yd.com/image.php?url=YD_cnt_68_01KPRK84oZJd" /></span></p><p>Live on March 12th, the 27th round, Paris beat brest 2-1 away. Aft

Live on March 12th, the 27th round, Paris beat brest 2-1 away. After the game, Paris goalkeeper Donaruma said through social media that the team had come out of the shadow of being eliminated from the Champions League and found a smile in Ligue 1.

Donaruma wrote: "After being eliminated from the Champions League, we found our smile in Ligue 1."

(Sky)

The era of artificial intelligence aft super human (9)

One day in 2201, a space carrier was flying from the earth to the moon, and suddenly accelerated and disappeared into space. The spaceship was flying at the speed of light, and it reached the moon in an instant. The spacecraft stopped at the square in the 18th area of the moon, and the hurricane handed the task to the gale and entered the office by himself. The gale, whether a new ship or an old ship, was the role of the vice captain, and of course he had to take responsibility. Gale with artificial intelligence robot team, began to inspect the whole spacecraft, find out the problems so that it can be maintained in time, where else needs to be improved, or materials need to be changed. When we get to the moon, there will be materials, which were originally preserved by the hurricane.

The material mentioned here is the strongest, and diamond is strong enough when you know it. Our material is stronger than diamond, because flying at the speed of light has no solid body, which will be torn by particles and dark matter in space. Even if human spacecraft reach the speed of light, they dare not fly at the speed of light, because the material of their spacecraft is too general. If there is a collision at high speed, either you are smashed or others are smashed. Therefore, people on earth never dare to fly too fast, why do robots dare, because hurricanes have led robot teams to look for the strongest materials everywhere in these years. The spacecraft has been reinforced, and the calculation and analysis of robots are faster and more accurate than people, so the robot spacecraft dares to fly at super high speed.

If your spaceship is not so strong before, you can choose to drive slowly and go around when you meet something. However, in the future superluminal flight, if the intelligent identification is not advanced or the spacecraft is strong in the unknown environment, you will not dare to fly fast, because you can’t hide at the critical moment. If you have used the strongest material in the universe, you can use the strongest material to make a spaceship, and you can fly at will, because anything hits you, and someone else will break it. If you don’t have the strongest material, you will be torn and broken. Even an American superman can’t fly at the speed of light. At that speed, he can only go up in smoke.

The technology of flying at the speed of light is not only difficult to break through, but also dare not to fly at the speed of light without conditions, just like a carriage running too fast will eventually fall apart. If the horse doesn’t look at the road, it will not only kill itself, but also the people in the car will be injured. But driving at high speed in space, even if you are watching the road, you can’t avoid it, so you have to hit it, so who is harder in the universe is the key. Without absolute strength and firmness, you can only fly slowly. What the gale needs to check is to see if there are any torn places, because when the spacecraft is driving at high speed, the strongest place will face forward, the flank will be worse, and the most critical technology will be placed in the strongest cockpit.

Hurricane returned to the office and drew his own drawings as a large space carrier. There must be ship-borne spacecraft, space planes, hurricanes and others in a hurry, and it will be great to build this big guy in a short time. It is bigger than the "Luan Bird Series". The most important thing is not technology, but materials. It is not easy to collect so many materials in a short time. The gale has been tested for a long time, but fortunately, the artificial intelligence robots are very powerful, and the carpet search, inspection and detection are completed. The spaceship flew a short circle at low altitude on the moon. No problem, I flew back to the 18 th section of the moon. So the wind and the hurricane, two people, started the next stage of work.

Is to create a carrier-based spacecraft in space, two people with an elite team, do their job, artificial intelligence robot, the calculation is very accurate, calculate how many steel plates, how many rivets, and even when it can be completed. This is all the robot can calculate. This is the efficiency of artificial intelligence. According to the previous style, hurricanes and squalls have built three more spaceships, but compared with Hurricane, they are still small. This spaceship built on the earth is named Hurricane No.1, and the previous one is called Hurricane. This hurricane intends to name the carrier-based aircraft Hurricane, and the gale is very excited.

In this way, the whole team will know that the gale will rise in the artificial intelligence robot team, because only the leader’s name is named the name of the ship, and now the name of the gale is going to be named the ship-borne spacecraft. Naturally, I’m excited. Thank you, boss, said Feng Feng. Thank you for being one of our own. You gave me my life. The hurricane patted the gale and the gale smiled. If it weren’t for Lao Zi, your life would have been gone. Hurricane said yes, now we don’t care about you and me, whether we are human or we are robots, we can’t be separated.

Looking at all the elite teams of hurricanes, none of them can laugh and joke, that is, the advanced robots with human thinking in hurricanes and squalls. At this time, the two have become Super Humans, and they are also the leaders of Super Humans. If there is no danger in the future, people on earth may still exist, but it is hard to say if aliens come. So who else can continue to replace human beings except artificial intelligence robots? Maybe carbon-based life can’t rule the universe at all.