A machine learning model is shaped by the data on which it is trained so consequently small amounts of /incorrect interred/ out of range / bad or lot of missing values data do not perform well in the real-world. A population is what we would like to work with but…

In Machine-learning models are computer algorithms that use data to make estimations (educated guesses) or decisions, a machine-learning algorithm uses data to get better at a specific task. Machine learning models(function/ programs) are shaped by data as opposed to traditional /old model which are programmed by expert A model as…

review your work. MLflow is an open-source product designed to manage the Machine Learning development lifecycle. MLflow is an important part of machine learning with Azure Databricks, as it integrates key operational processes with the Azure Databricks interface. MLflow makes it easy for data scientists to train models and make…

Machine learning is a data science technique used to extract patterns from data allowing computers to identify related data, forecast future outcomes, behaviors, and trends. Data cleaning deals with issues in the data quality such as errors, missing values and outliers. The tabular data is typically available in the form of rows and columns. In tabular data, the row describes a single observation, and each column describes different properties of the observation.

· Hierarchical namespaces organize blob data into directories and stores metadata about each directory and the files within it · A SAS ( shared access signature (SAS) is a string that contains a security token that can be attached to a URI. …

· Stream processing refers to the continuous ingestion, transformation, and analysis of data streams generated by applications, IoT devices and sensors, and other sources to derive actionable insights in near-real-time. · An event is a small packet of information (a datagram) that contains a notification. · Events can be published…

Descriptive analytics o Descriptive analytics answers the question “What is happening in my business?” o The data to answer this question is typically answered through the creation of a data warehouse. Diagnostic analytics o Diagnostic analytics deals with answering the question “Why is it happening?”. o This may involve exploring…

Application data can be classified in one of three ways: Structured — Choose Azure SQL database or similar, o In structured data, sometimes called relational data, all data has the same fields or properties o All the data has the same organization and shape, or schema. Semi-Structured — choose Azure…

High-level security benefits for the data in the cloud: Protect the data at rest o All data written to Azure Storage is automatically encrypted by Storage Service Encryption (SSE) with a 256-bit Advanced Encryption Standard (AES) cipher, and is FIPS 140–2 compliant. o SSE automatically encrypts data when writing it…