Get 100%OFF Coupon For AutoML Automated Machine Learning BootCamp (No Code ML) Course


Course Description:

“No code” machine studying (ML) refers to using ML platforms, instruments, or libraries that permit customers to construct and deploy ML fashions with out writing any code. This strategy is meant to make ML extra accessible to a wider vary of customers, together with those that might not have a robust programming background.

Amazon SageMaker is a totally managed machine studying service offered by Amazon Net Companies (AWS) that permits builders and knowledge scientists to construct, prepare, and deploy machine studying fashions at scale. SageMaker additionally contains built-in algorithms, pre-built libraries for frequent machine studying duties, and a wide range of instruments for knowledge pre-processing, mannequin tuning, and mannequin deployment. SageMaker additionally integrates with different AWS providers to offer a whole machine studying atmosphere.

AutoML in SageMaker refers back to the computerized choice and tuning of machine studying fashions to enhance the accuracy and efficiency of the fashions. This may be performed by utilizing SageMaker’s built-in algorithms and libraries or by utilizing customized algorithms and libraries. SageMaker additionally features a function referred to as Automated Mannequin Tuning which permits for tuning of the hyper-parameters of the fashions to enhance their efficiency.

SageMaker Studio Canvas is a function that enables customers to work together with their knowledge, construct and visualize workflows, and create, run, and debug Jupyter notebooks, all throughout the identical web-based interface. The Canvas gives a visible and interactive approach to discover, manipulate and visualize knowledge, and permits customers to create Jupyter notebooks and drag-and-drop pre-built code snippets, referred to as “recipes” to shortly carry out frequent knowledge pre-processing, knowledge visualization, and knowledge evaluation duties.

SageMaker Studio Canvas additionally permits customers to simply share their notebooks, recipes, and knowledge with different customers and collaborate on initiatives. This helps to simplify the machine studying improvement course of, speed up the event of machine studying fashions, and enhance collaboration amongst groups.

IN THIS COURSE YOU WILL LEARN :

  • LifeCycle of a Machine Learning Venture
  • Machine Learning Fundamentals
  • Cloud Computing for Machine Learning
  • AWS SageMaker Canvas (NO CODE ML)

Who this course is for:

  • Anybody who’s curious about constructing sensible real-world Machine Learning purposes however doesn’t have any coding abilities (or have fundamental coding abilities)
  • Newbie Information Scientists who’re enthusiastic about Machine Learning and wish to study a brand new ability of AWS SageMaker Canvas.


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