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#hybrid #Electric #carmanintence nn1982 – CurrentnMuneer Lyati is a well-known mechanical engineer from Saudi Arabia who has given new hope to the hybrid and electric car automotive industry. This is thanks to his dedication to making cars more efficient and less damaging to the environment.nAbout Muneer LyatinMuneer has used his expertise in vehicles and engines to help revolutionize the automotive industry. As a brilliant mechanical engineer, he has written a book on the regular maintenance

Hybrid and Electric Car specialist Muneer Lyati - Self Maintanence and website review

⏲ 6 min 83 sec ✓ 13-Sep-2021

edureka!

Introduction to Bayesian Networks | Implement Bayesian Networks In Python | Edureka

⏲ 29 minutes 35 seconds 👁 71.9K

TwinEd Productions

Bayesian Neural Network | Deep Learning

⏲ 7 minutes 3 seconds 👁 17.9K

Mandatory minicamp got underway at The Star in Frisco Texas for the Dallas Cowboys and CeeDee Lamb was not in attendance due to contract issues with the front office. Lamb is going into his fifth year with the Cowboys and he is waiting for his new contract that Jerry Jones and the Cowboys have yet to give him. <br/><br/>Lamb is coming off his best season yet, setting records in AT&T Stadium with 1,749 yards, the most of any Cowboys receiver since Michael Irvin. He had 135 receptions and 12 touchdowns in 2024. <br/><br/>In his career with the Cowboys Lamb has added up 395 receptions for 5,145 yards and 32 touchdowns. <br/><br/>Lamb did not come to day one of minicamp, it’s looking like he will miss the entirety of camp. Lamb will be fined each day for not showing up. For missing Monday he will be fined$16,953. He will be fined $33,908 for Wednesday and $50,855 if minicamp extends to a third day. In total if he misses all three days he will be fined $101,716. <br/><br/>$101,716 might sound like a lot to most Americans but when you’re fighting for $35 million a year, it’s not much in the eyes of Lamb. <br/><br/>The day prior to Minicamp starting Minnesota Vikings WR Justin Jefferson got signed to a four-year $140 million contract with $110 guaranteed. This contract gives Jefferson $35 million a year, and with Lamb easily the same caliber of player one could argue Lamb deserves the same or more. <br/><br/>His presence was definitely missed at minicamp and a lot of his teammates spoke highly of him post workout. RG Zack Martin was in a similar situation last season, he missed the first portion of training camp due to contract issues. He told us after minicamp on Monday that it’s part of the business, he said what is going on is between Lamb and the front office. He said he is not worried about his teammate and knows that Lamb has been working out and getting ready for the season, just not at the facility. <br/><br/>“I can’t think of anyone more deserving. I think he is the best receiver in the league.” Teammate Micah Parsons stated after minicamp day one. <br/><br/>Minicamp will continue on Wednesday and conclude on Thursday afternoon.

NFL UPADTE: WR CeeDee Lamb Not In Attendance At Cowboys Mandatory Minicamp

⏲ 1:0 👁 219.8M

Thinkstr

Bayesian neural networks

⏲ 6 minutes 45 seconds 👁 5.8K

Stanford Online

Bayesian Networks 1 - Inference | Stanford CS221: AI (Autumn 2019)

⏲ 1 hour 21 minutes 39 seconds 👁 38.6K

Blues teammates have backed Tedesco to be able to easily slot into the backline because of his experience, but feel for Edwards given he was within touching distance of an Origin debut.

State of Origin: James Tedesco joined NSW teammates at training ahead of Origin I

⏲ 0:40 👁 57.1M

Gus Nonie

Bayesian Neural Networks - Bayesian Methods for Machine Learning

⏲ 11 minutes 6 seconds 👁 1.9K

LiquidBrain Bioinformatics

Bayesian Network | Introduction and Workshop

⏲ 24 minutes 22 seconds 👁 6K

Deep neural network training is time consuming, often take days and weeks, and a hard topic to master. Selecting the right hyper-parameters is difficult, but so important since it directly affects the behavior of the training algorithm and has a significant impact on performance and accuracy.nnIn this talk, we will discuss a novel approach using distributed Spark to explore the vast hyper-parameter search space to find a near optimal configuration according to a targeted quality of service (QoS)

Apache Spark Based Hyper-Parameter Selection and Adaptive Model Tuning for Deep Neural NetworksYonggang Hu (IBM)Chao Xue (IBM)

⏲ 18 min 26 sec ✓ 12-Jun-2018

PyData

Eric J. Ma - An Attempt At Demystifying Bayesian Deep Learning

⏲ 36 minutes 15 seconds 👁 33.8K

StatQuest with Josh Starmer

Naive Bayes, Clearly Explained!!!

⏲ 15 minutes 12 seconds 👁 504.2K

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