![]() Supervised Learning – In order for a computer to learn from data, it must have external supervision. What are the different type of Learning based approach?Īnswer – The learning based approach can be divided into three types –Ī. The AI model is trained on the data provided to it under the Learning Based technique, and after that, it is able to create a model that is flexible to the change in data.ġ9. The machine executes its duty in accordance with the rules or instructions specified by the developer.Ī rule-based artificial intelligence (AI) system is one that aims to develop artificial intelligence (AI) by using a model that is exclusively based on predetermined rules.Īnswer – AI modelling where the computer learns on its own. for example the development, training, and application of machine learning algorithms that simulate logical decision-making based on accessible facts are known as AI modelling.Īnswer – AI Models are classified into two type –Īnswer – When the developer sets the rules. Data visualization and other complex statistical techniques can be used to do this.Īnswer – Data modelling is the process of developing a visual representation of an entire information system or certain components of it. What are the various ways to collect data?Īnswer – Various ways to collect the data is –Īnswer – Data exploration is the process of displaying and detecting unique patterns and trends in data using tools and procedures. Note – Training data use 80% of the whole data and testing data use 20%.Īnswer – Data features refer to the type of data you want to collect.ġ3. Second subset, referred to testing data, Once your machine learning model is built, you need unseen data to test your model. The first subset, referred to as the training data, is a section of our actual dataset that is used to train a machine learning model. What is the difference between Training Data & Testing Data?Īnswer – The datasets are divided into two groups in machine learning. The second stage of the project cycle is data acquisition, and for successful decision making, we must make sure the data is gathered from genuine and trustworthy sources.ġ1. Its objective is to offer a comprehensive plan of action to address the issue and include suggestions for how those responsible can stop it from happening again in the future.Īnswer – The process of gathering correct and trustworthy data to work with is known as data acquisition. What do you mean by Problem Statement Template?Īnswer – An stakeholders can define and describe a problem by writing a summarize report called a problem statement. Project managers, project sponsors, executives, clients, or users are typically included in this group.ĩ. Īnswer – Stakeholders are people who are either actively involved in the project or who have interests that the project’s results might influence. why: why is refer to a asking about the person like why are you asking question. where : where is refer to asking about the place where the person was going.ĭ. what: what is refer to a asking question. who : who is facing for problem who are the stakeholders of problem. These Ws aid in more accurate and effective problem identification and comprehension.Ī. Responsible Consumption and ProductionĪnswer – Who, What, Where, and Why are the 4Ws of problem scoping. What are the goals of sustainable development?Īnswer – There are 17 sustainable development goals announced by the United nations, aim to achieve these goals by the end of 2030 – The results will help you in evaluating your model and improving it.ĪI Project Cycle Class 10 Questions and AnswersĪnswer – When all renewable resources are utilized properly, the variety of life on earth is conserved, and environmental harm is kept to a minimum for the benefit of future generations, this is considered sustainable development.Īccording to the Bruntland Commission Report from 1987, sustainable development refers to “development that satisfies present demands without compromising the ability of future generations to meet their own needs.”ĥ. Once the modelling is complete, you now need to test your model on some newly fetched data. The most efficient model is now the base of your AI project and you can develop your algorithm around itį. You can test the selected models and figure out which is the most efficient one.Į. After exploring the patterns, you can decide upon the type of model you would build to achieve the goal.ĭ. Collect data from various reliable and authentic sourcesĬ. You need to acquire data which will become the base of your project.ī. How you can figure out the data using problem scoping?Ī. ![]()
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