In your role as a Business Consultant, you have been employed by the organisation to advise them on opportunities for a first project attempting to utilise machine learning in the business as a 'proof of concept' for greater future investment in this area. You should select an appropriate real-world organisation that this situation may be applicable to as context for your report (your case study). You will prepare a maximum 3,000 words report for the organisation on the following areas: Explore possible applications of machine learning in the organisation and build a business case for one of these use cases after considering and ranking the possibilities on a range of criteria such as complexity, cost of implementation, availability of expertise, risks and business benefits. Suggest which type or class of machine learning algorithm may be most appropriate within the business case . Developing an outline of the key data sources and data elements needed in order for the machine learning algorithm to work successfully . Developing an appropriate machine learning algorithm on the organisation's data to implement the business decision-making OR outline conceptually how the algorithm would work . Exploring the HR, ethical and legal considerations that may also be relevant when considering application of machine learning for the use case and organisation chosen. 1.Find, evaluate, synthesise and use information from a variety of sources to identify use cases and select and develop an appropriate business case. (30%) 2. Identify and describe relevant machine learning techniques for the use cases considered. (20%) Good use of Information and frameworks to support analysis and decision making. 3. Description of the necessary data for the machine learning algorithm for the chosen business case and detailed outline or demonstration of how it works (demonstration via code set capable of being run in Octave). (25%) 4. Consideration of HR, ethical and legal aspects of the use of machine learning in the chosen use case (15%) 5. Appropriate academic language, spelling, grammar syntax and referencing (10%) In your role as a Business Consultant, you have been employed by the organisation to advise them on opportunities for a first project attempting to utilise machine learning in the business as a 'proof of concept' for greater future investment in this area. You should select an appropriate real-world organisation that this situation may be applicable to as context for your report (your case study). You will prepare a maximum 3,000 words report for the organisation on the following areas: Explore possible applications of machine learning in the organisation and build a business case for one of these use cases after considering and ranking the possibilities on a range of criteria such as complexity, cost of implementation, availability of expertise, risks and business benefits. Suggest which type or class of machine learning algorithm may be most appropriate within the business case . Developing an outline of the key data sources and data elements needed in order for the machine learning algorithm to work successfully . Developing an appropriate machine learning algorithm on the organisation's data to implement the business decision-making OR outline conceptually how the algorithm would work . Exploring the HR, ethical and legal considerations that may also be relevant when considering application of machine learning for the use case and organisation chosen. 1.Find, evaluate, synthesise and use information from a variety of sources to identify use cases and select and develop an appropriate business case. (30%) 2. Identify and describe relevant machine learning techniques for the use cases considered. (20%) Good use of Information and frameworks to support analysis and decision making. 3. Description of the necessary data for the machine learning algorithm for the chosen business case and detailed outline or demonstration of how it works (demonstration via code set capable of being run in Octave). (25%) 4. Consideration of HR, ethical and legal aspects of the use of machine learning in the chosen use case (15%) 5. Appropriate academic language, spelling, grammar syntax and referencing (10%)