| 001. AWS Certified Machine Learning Specialty Introduction.mp4 | 19.3 MB | ||
| 001. AWS Certified Machine Learning Specialty Summary.mp4 | 11 MB | ||
| 001. Learning objectives.mp4 | 3.8 MB | ||
| 002. 1.1 Create data repositories for machine learning.mp4 | 24.3 MB | ||
| 002. 2.1 Sanitize and prepare data for modeling.mp4 | 25 MB | ||
| 002. 3.1 Frame business problems as machine learning problems.mp4 | 22.4 MB | ||
| 002. 4.1 Perform hyperparameter optimization.mp4 | 16.1 MB | ||
| 002. 5.1 Build machine learning solutions for production.mp4 | 19.5 MB | ||
| 002. AWS Certified Machine Learning Specialty Introduction.mp4 | 19.3 MB | ||
| 003. 1.2 Identify and implement a data ingestion solution.mp4 | 24.6 MB | ||
| 003. 2.2 Perform feature engineering.mp4 | 20 MB | ||
| 003. 3.2 Select the appropriate model for a machine learning problem.mp4 | 23 MB | ||
| 003. 4.2 Use other methods for hyperparameter optimization.mp4 | 22.2 MB | ||
| 003. 5.2 Address scaling concerns.mp4 | 19.7 MB | ||
| 004. 1.3 Decide between ingestion tools.mp4 | 21.4 MB | ||
| 004. 2.3 Analyze data for machine learning.mp4 | 25.8 MB | ||
| 004. 3.3 Understand the intuition behind the model.mp4 | 15.5 MB | ||
| 004. 4.3 Evaluate machine learning models.mp4 | 14.2 MB | ||
| 004. 5.3 Recommend and implement the appropriate machine learning services.mp4 | 11.1 MB | ||
| 005. 1.4 Identify and implement a data transformation solution.mp4 | 22.1 MB | ||
| 005. 2.4 Visualize data for machine learning.mp4 | 21 MB | ||
| 005. 3.4 Train machine learning models.mp4 | 22.2 MB | ||
| 005. 4.4 Compare models with different metrics.mp4 | 20.8 MB | ||
| 005. 5.4 Apply basic AWS security practices to machine learning solutions.mp4 | 20.6 MB | ||
| 006. 1.5 Get some practice questions and exercises.mp4 | 12.9 MB | ||
| 006. 2.5 Get some practice questions and exercises.mp4 | 12.7 MB | ||
| 006. 3.5 Choose compute option.mp4 | 18.3 MB | ||
| 006. 4.5 Implement machine learning best practices.mp4 | 24.5 MB | ||
| 006. 5.5 Deploy and operationalize machine learning solutions.mp4 | 21.9 MB | ||
| 007. 3.6 Get some practice questions and exercises.mp4 | 20.4 MB | ||
| 007. 4.6 Get some practice questions and exercises.mp4 | 14.2 MB | ||
| 007. 5.6 Get some practice questions and exercises.mp4 | 19.1 MB | ||
| Bonus Resources.txt | 409.6 B | ||
| Get Bonus Downloads Here.url | 204.8 B | ||
| ▲ 38 total files | |||
Pearson - AWS Certified Machine Learning - Specialty
https://CourseWikia.com
Released 4/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 4h 27m | Size: 623 MB
Learn the techniques and approaches to successfully pass the AWS Certified Machine Learning - Specialty Exam with hands-on exercises.
Getting the AWS Certified Machine Learning - certification highlights your versatility as an ML engineer. Usually, ML engineers focus on handling data and building models, so if you know can use cloud tools, it makes you an even more valuable as an MLOps engineer. You’ll be able to ingest your own data, get through the feature engineering process, train and evaluate models, and deploy them to where they will be consumed. This certification shows that you know how to do full-stack ML development.
In this series of videos, author Milecia McGregor shares a mix of slides and nstrations in AWS, along with some examples in Visual Studio with Python. It’s just what you need to learn to pass the exam. It includes an overview of concepts with hands-on work using AWS tools like Kinesis and EMR.
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| 964.59 MB | abdenna | 2 years | 5 | 0 | |
| 2.5 GB | SunRiseZone | 6 years | 11 | 11 | |
| 2 GB | CourseClub | 8 years | 8 | 10 |
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