Courtesy: Wikimedia What is segmentation of image in machine learning? In the field of computer vision in machine learning, an image can be broken into segments by learning a mask for each segment. Image segmentation is used to locate object boundaries (lines, curves etc.) and assign a label to each pixel. For example, this is from opencv documentation (watershed algorithm) where boundaries of a set of coins are learnt: Original Image Semantic Segmentation Mask Learnt from Original Image Sudo Exam Tip: Remember to recall image segmentation as a technique when there is a mention of classification of objects in an image at pixel level....

Ready reference for MLS-C01 and SAP-C01: Amazon Kinesis Streams Compared No need to study and find out inputs and outputs supported by Kinesis Streams by digging into AWS Documentation Here is a ready to refer comparision of Kinesis streams available on AWS Score points in exam: Know the right sources and sinks that each stream supports Be cautious about tricky exam questions that state a wrong answer option involving kinesis streams Kinesis Video Streams - KVS Though the name is Kinesis Video Streams, it supports ingestion of any kind of time series or time encoded data Video: Stream video frames to KVS for storage, analytics, machine learning, playback or custom video processing Kinesis Video Streams provides fully-managed capabilities for HTTP Live Streaming (HLS) and Dynamic Adaptive Streaming over HTTP (DASH)....

Ready reference for MLS-C01: Sagemaker Algorithms Compared Study following table to compare various built-in algorithms in Sagemaker You can use this as a ready reckoner for MLS-C01 AWS Certified Machine Learning Specialty Exam Pay attention: Scroll the table horizontally for more columns Download the table as PDF here Algorithm Algo. Type Input Format INT/FLOAT Processor Type Instance Multiprocessor in Single Machine Multi Machine Use Cases Comments HP Linear Learner SUPERVISED • RecordIO Wrapped Protobuf / CSV...