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Andrey Rublev admitted ‘I don’t remember behaving worse at a Slam ever’ after he kicked and screamed his way out of the French Open.<br/><br/>The No. 6 seed was beaten 7-6, 6-2, 6-4 by Italian Matteo Arnaldi on Friday and – by no means for the first time in his career – Rublev was the author of his downfall.<br/><br/>After going two breaks down in the second set, the 26-year-old Muscovite smashed his racket twice into the ground and, as he went to sit down for the changeover, kicked the bench three times.<br/><br/>Rublev roared in frustration, smashed his racket, and drove himself to the brink of tears.<br/><br/>After the match, he sat with head bowed and long red hair straggling down over his face, and attempted to explain such needless self-sabotage.<br/><br/>‘Completely disappointed with myself the way I behaved, the way I performed,’ he said. ‘I think it was the first time I ever behaved that bad.<br/><br/>‘The way I behave I put myself completely down, and I give Matteo wings to fly, and he was flying third set unbelievable. It was too late to do something.’<br/><br/>Rublev had a poor start to the clay season but came to Roland Garros with the wind in his sails after winning the Madrid Masters.<br/><br/>‘I was struggling, and then I had a really good result in Madrid. Now I'm playing well again. I feel that I have a good game, and I'm improving. The problem is the head, that today I kill myself, and that's it.’<br/><br/>He tried to explain how things fell apart after he lost the first-set tiebreak and admitted that he ‘tanked’ at the end of the second set. ‘In the tiebreak I had chances, and then second set I started already on emotions.<br/><br/>‘But somehow I was able to break back. Then out of nowhere, again, I collapsed with myself, I got emotional, I lost my serve, and then I lost it completely and basically I almost - almost, no, I tanked the second set, and then it was too late.’<br/><br/>Tennis is a frustrating game – go down to your local courts for evidence of that – and players have to endure its travails alone. But it is difficult to fathom how this articulate, mild-mannered Dr Jekyll can become such a raging Mr Hyde on a tennis court.<br/><br/>Rublev’s incredible hand speed through his shots gives him the power to trouble anyone in the game. But until he can quell the raging tempests that swirl in his mind, his full potential is set to remain sadly unrealized.<br/><br/>In a marked contrast, Rublev’s fellow red-head Jannik Sinner continued his serene progress through the draw with a 6-4, 6-4, 6-4 win over Russian Pavel Kotov.<br/>
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Daniil Medvedev admitted he enjoyed the extra rest after his game was stopped to help an injured bird on court
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Aryna Sabalenka says she understands why the pressure caused Iga Swiatek to break down earlier this week
⏲ 0:49 👁 675K
Coco Gauff says that finishing matches in the early hours of the morning is not healthy for the players.
⏲ 0:49 👁 60K
Sixth seed Andrey Rublev is out of the French Open following a stunning straight sets loss to Matteo Arnaldi
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Sixth seed Andrey Rublev is out of the French Open following a stunning straight sets loss to Matteo Arnaldi
⏲ 0:38 👁 55K
Carlos Alcaraz said he forgot all about his recent forearm injury during his win over Sebastian Korda.
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Iga Swiatek has offered her thoughts on scheduling after Novak Djokovic's match finished at 3am.
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Paula Badosa says that partner Stefanos Tsitsipas has been giving great advice before her French Open matches
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Back in Time- The World Bends to My Will Full Episode - Watch Drama 4 Free - Tele Chanel
⏲ 2:20:40 👁 90K
Welcome to Session 14 of our Open RAN series! In this session, we'll introduce supervised machine learning and its application in designing intelligent systems for Open RAN.<br/><br/><br/>Understanding Supervised Machine Learning:<br/>Supervised machine learning is a type of machine learning where the algorithm learns from labeled data. It involves training a model on a dataset that contains input-output pairs, where the input is the data and the output is the corresponding label or target variable. The algorithm learns to map inputs to outputs by finding patterns in the data. In Open RAN, supervised learning can be used for tasks such as predicting network performance based on historical data.<br/><br/>Types of Supervised Machine Learning:<br/>There are two main types of supervised machine learning: classification and regression. In classification, the algorithm learns to categorize data into predefined classes or categories. For example, it can classify network traffic into different application types (e.g., video streaming, web browsing). Regression, on the other hand, involves predicting continuous values or quantities. It is used when the output variable is a real or continuous value, such as predicting the signal strength of a network connection.<br/><br/>Binary and Multi-Class Classification:<br/>Binary classification involves categorizing data into two classes or categories. For example, it can be used to classify network traffic as either malicious or benign. Multi-class classification, on the other hand, involves categorizing data into more than two classes. It can be used to classify network traffic into multiple application types (e.g., video streaming, social media, email).<br/><br/>Regression in Machine Learning:<br/>Regression is a supervised learning technique used for predicting continuous values or quantities. It involves fitting a mathematical model to the data, which can then be used to make predictions. In Open RAN, regression can be used for tasks such as predicting network latency, throughput, or coverage based on various input variables such as network parameters, traffic patterns, and environmental conditions.<br/><br/>Subscribe to \
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Aryna Sabalenka says she understands why the pressure caused Iga Swiatek to break down earlier this week
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