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• It allows users to build ML models without having to write any code.
                    • It simplifies the process of using machine learning by providing a visual, drag-and-drop interface along with
                   tools that support the entire machine learning lifecycle, from data preparation to model deployment.
                    • Whether you’re a beginner with no coding experience or an experienced data scientis, Azure’s diverse set of
                   features can help you effectively use machine learning in your projects.

                 It can be used for:
                    •  Predictive Analytics:  Predict  future  trends  such  as  customer  demand,  sales  forecasting,  and  inventory
                   management.
                    •  Image and Speech Recognition: Train models to recognise images or speech for various applications like
                   medical imaging or voice assistants.
                    • Natural Language Processing (NLP):  Build  models  for  sentiment  analysis,  chatbots,  and  language
                   translation.

                 Google Cloud AutoML
                 Google Cloud AutoML is a suite of machine learning tools provided by Google Cloud that allows users to build
                 custom machine learning models with minimal coding experience. It was released in January 2018.
                 Google Cloud AutoML makes it easy for users who don’t have much knowledge of machine learning (ML) to create
                 powerful and accurate models tailored to their specific business needs, with very little effort.
                 With AutoML, users can quickly build their own custom machine learning models, even in just a few minutes.
                 Once the model is ready, they can deployed and integrated into their applications or websites, allowing them to
                 make predictions, automate tasks, or solve problems using AI—without needing to write complex code or be an
                 expert in machine learning. This simplifies the process and makes AI accessible to everyone, even those without a
                 technical background.

                                                                                          21 st  Century   #Media Literacy
                                                                                              Skills
                             Video Session
                       Watch this video on "Introducing Cloud AutoML" at the given ink:
                       https://www.youtube.com/watch?v=GbLQE2C181U or scan the QR code and answer
                       the following question:

                       What is the need for creating Cloud AutoML Vision?
                       ___________________________________________________________________________________________



                 Orange Data Mining
                 Orange Data Mining was developed at the University of Ljubljana, Slovenia in October 1996. It is an open-source,
                 user-friendly data analysis and machine learning software suite. It provides a wide range of tools for data mining,
                 machine learning, data visualization, and statistical analysis. Orange is designed to be accessible to both beginners
                 and advanced users, and it is especially popular for those interested in exploring and analysing data with a visual
                 programming interface.




                                 Brainy Fact

                      Orange Data Mining was initially designed for bioinformatics, helping researchers analyse biological data. Over
                      time, it evolved into a general-purpose data mining and machine learning tool used across various industries.


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