A Cloud Guru - AWS Certified Machine Learning - Specialty 2020
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A Cloud Guru - AWS Certified Machine Learning - Specialty 2020
WEBRip | English | MP4 + Project Files | 1920 x 1080 | AVC ~327 kbps | 30 fps
AAC | 160 Kbps | 44.1 KHz | 2 channels | ~13 hours | 2.67 GB
Genre: eLearning Video / IT & Software, AWS Certification, Machine Learning
Ace the AWS Machine Learning Specialty Certification exam with ACG - no PhD in Mathematics needed!
Hello Cloud Gurus,
Your executive board members are asking you to do something with it. Your grandmother is asking you if it will put you out of a job. Your deadbeat college roommate is asking if you can help him find a date with it. Everyone seems to fuss over Machine Learning, but how many of us truly understand it? Too few.
Fortunately, ACG has your back yet again with a fresh course focused on helping you outsmart the new AWS Certified Machine Learning Specialty. In typical ACG manner, we have created a course that confronts the potentially dull and boring topic of machine learning head-on with quirky and engaging lectures, interactive labs and plenty of real-world, plain-speak examples.
In this course, you'll learn:
The domains of knowledge for the AWS Certified Machine Learning Speciality exam.
Best practices for using the tools and platforms of AWS for data engineering, data analysis, machine learning modeling, model evaluation and deployment.
Hands-on labs designed to challenge your intuition, creativity and knowledge of the AWS platform.
With this course you'll get a solid understanding of the services and platforms available on AWS for Machine Learning projects, build a foundation to pass the certification exam and feel equipped to use the AWS ML portfolio in your own real-world applications.
Don't just sit idly by, watching as robotic overlords take over the world. Create your own army of sentient machines and beat them at their own game! And keep being awesome, cloud gurus!
General
Complete name : 004 Machine Learning Data Terminology.mp4
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File size : 57.2 MiB
Duration : 16 min 7 s
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