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vendredi 22 mai 2020

FREE AWS SOLUTIONS ARCHITECT PROFESSIONAL EXAM QUESTIONS

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AWS Certified Cloud Practitioner
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Visite out website www.aws-senior.com
www.aws-senior.com

aws-senior.com

www.aws-senior.com
Visite out website www.aws-senior.com
http://www.aws-senior.com
www.aws-senior.com
AWS Certified Cloud Practitioner
AWS Certified Solutions Architect Associate
AWS Certified Developer Associate
AWS Certified SysOps Administrator Associate
AWS Certified Solutions Architect Professional
AWS Certified DevOps Engineer Professional
AWS Certified Big Data Specialty
AWS Certified Advanced Networking Specialty
AWS Certified Security Specialty www.aws-senior.com
/ http://www.aws-senior.com
aws-senior.com
www.aws-senior.com
Visite out website www.aws-senior.com
www.aws-senior.com reinforcement learning. You can use the AWS DeepRacer 3D racing simulator to build, train, and evaluate your models. You can review the results and improve your models in order to ensure that they are race-ready.
Winning a FORMULA 1 (F1) race requires a technologically sophisticated car, a top-notch driver, an outstanding crew, and (believe it or not) a healthy dose of machine learning. For the past couple of seasons AWS has been working with the Formula 1 team to find ways to use machine learning to make cars that are faster and more fuel-efficient than ever before (read [119]The Fastest Cars Deserve the Fastest Cloud and [120]Formula 1 Works with AWS to Develop Next Generation Race Car to learn more).
Special Event Each month the AWS DeepRacer League runs a new Virtual Race in the AWS DeepRacer console and this month is a special one: the [121]Formula 1 DeepRacer ProAm Special Event. During the month of May you can compete for the opportunity to race against models built and tuned by Formula drivers and their crews. Here̢۪s the lineup:
[122]Rob Smedley â€" Director of Data Systems for F1 and AWS Technical Ambassador.
[123]Daniel Ricciardo â€" F1 driver for Renault, with 7 Grand Prix wins and 29 podium appearances.
[124]Tatiana Calderon â€" Test driver for the Alfa Romeo F1 team and 2019 F2 driver.
Each pro will be partnered with a member of the AWS Pit Crew tasked with teaching them new skills and taking them on a learning journey. Here̢۪s the week-by-week plan for the pros:
Week 1 â€" Learn the basics of reinforcement learning and submit models using a standard, single-camera vehicle configuration.
Week 2 â€" Add stereo cameras to vehicles and learn how to configure reward functions to dodge debris on the track.
Week 3 â€" Add LIDAR to vehicles and use the rest of the month to prepare for the head-to-head qualifier.
At the end of the month the top AWS DeepRacer amateurs will face off against the professionals, in an exciting head to head elimination race, scheduled for the week of June 1.
The teams will be documenting their learning journey and you̢۪ll be able to follow along as they apply real-life racing strategies and data science to the world of autonomous racing.
Bottom line: You have the opportunity to build & train a model, and then race it against one from Rob, Daniel, or Tatiana. How cool is that?
Start Your Engines And now it is your turn. Read [125]Get Started with AWS DeepRacer, build your model, join the Formula 1 DeepRacer ProAm Special Event, train it on the Circuit de Barcelona-Catalunya track, and don̢۪t give up until you are at the top of the chart.
[dr_proam_console_preview_2.png]
Training and evaluation using the DeepRacer Console are available at no aws-senior.com
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