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Decision Tree Presentation Template

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Decision Tree

Transcript: Student Needs Less Support The Rapid Network 180 (18-26) The Rapid Go Bus Community connections Hope Network Compass college or University Disabilities Support Services Michigan Career Technical Center (MCTI) College or University Disabilities Support Services Michigan Department of Education - Low Incidence Outreach (LIO) Out of School Services College Disability Support Services Camps per diagnosis ACT Living Life Dance Co. Equestrian Center Special Olympics Association for the Blind and Visually Impaired National Consortium on Deaf-Blindness (NCDB) Student Needs Less Support Michigan Career Technical Institute (MCTI) Noorthoek Academy M-Tech Kent Intermediate School District Rebecca McIntyre Transition Coordinator 2012 Student Needs More Support Community Participation Disability Area Employment The Rapid Go Bus Out of School Services In School Services Network 180 (Medicaid Eligible) The Rapid Network 180 (Medicaid Eligible) Community Participation Home Living Student Needs More Support Out of School Services Summer Camps Greater Grand Rapids Association of the Deaf and Hard of Hearing (GGRADHH) Hearing Loss Association of America (HLAA) Michigan Department of Education - Low Incidence Outreach (LIO) Student Needs Less Support Recreation and Leisure The Rapid Go Bus Grand Valley State University: Disability Support Resource Center Grand Rapids Community College: Disability Support Services Michigan Career and Technical Institute Western Michigan University: Office of Disabled Student Resources and Services Michigan Rehabilitative Services (MRS) Michigan Rehabilitative Services (MRS) Student Needs Less Support The Rapid Driver's Training - Mary Freebed CPI Compass (Arbor Circle) Recreation and Leisure No Service Required Home Living Network 180 (Medicaid eligible) Student Needs More Support The Rapid Go Bus Summer Camps Mary Free bed - Eagle Sports Special Olympics Community Parks and Recreation Community Education - enrichment classes Community Participation Transition Decision Tree for Individuals with Disabilities Employment Community Participation Network 180 - Medicaid Eligible Summer Camps Community Parks and Recreation Community Education - enrichment classes Special Olympics Michigan Rehabilitative Services (MRS) Learning Independence Through Experience (LITE) Direct Job Placement Micro Enterprises Disability Advocates of Kent County Out of School Services Community Participation Independent Living The Arc Employment Michigan Rehabilitative Services (MRS) Network 180 (after 26 years of age) In School Services Post-Secondary Student Needs Less Support Home Living Community Participation Local parks and recreation - i.e. Kentwood Summer Camps Noorthoek Academy @ GRCC SOAR @ Calvin College Department of Human Services - home help after 18 College or University Disability Support Services Post-Secondary Post-Secondary HI Secondary Education Options: Grade 9 through Age 26 General Education and Special Education Kent Transition Center (KTC) Kent Career Technical Center (KCTC) Hearing Impaired Teacher Consultant Services Northview Public Schools Deaf and Hard of Hearing Program Vocational Counseling Recreation and Leisure Employment Student Needs More Support STEPS Summer in the City Employment Employment OHI Michigan Rehabilitative Services (MRS) Network 180 (Medicaid Eligible) Local Parks and Recreation summer camps Noorthoek Academy @ GRCC SOAR @ Calvin College Student Needs Less Support Camps per diagnosis ACT Living Life Dance Co. Equestrian Centers Special Olympics Michigan Rehabilitative Services (MRS) Michigan Works Student Needs More Support Secondary Education Options: Grade 9 through Age 26 Regional Transition Program Kent Vocational Options (KVO) Community Based Occupational Training (CBOT) Post-Secondary Grand Rapids Community College (GRCC) M-Tec Michigan Career Technical Institute (MCTI) Recreation and Leisure Employment PI Post-Secondary Secondary Education Options: Grade 9 through Age 26 Special Education Self Contained Classroom Kent Transition Center (KTC) Kent Career Technical Center (KCTC) Hearing Impaired Teacher Consultant Services Northview Public Schools Deaf/Hard of Hearing Program Vocational Counseling In School Services In School Services LD Secondary Education Options: Grade 9 through Age 26 Special Education Physical Therapy Occupational Therapy Speech and Language Social work Services Network 180 - Medicaid Eligible The Arc Employment: Recreation and Leisure Home Living Post-Secondary Michigan Rehabilitative Services (MRS) Bureau of Services for Blind Persons (BSBP) - if legally blind Community Parks and Recreation Community Education - enrichment classes Summer Camps Special Olympics Employment Post-Secondary Home Living Home Living Secondary Education Options: Grade 9 through Age 26 General Education and Special Education Physical Therapy Occupational Therapy Speech and Language Social work Services Kent Transition Center Kent Career Technical Center EI Independent

Decision Tree

Transcript: Case For Christ Let's Make a Decision! Jesus never existed! Jesus is God! Jesus did exist. There's historical evidence that shows Jesus was a real person. But Jesus was just a great moral teacher, he never claimed to be God. Jesus did claim to be God. The Bible says so. Who cares what the Bible says? It's full of contradictions. The Bible is amazingly internally consistent. So called contradictions in the Bible can be resolved if you look and think carefully. Unlike other sacred texts, the Bible's contents are supported by external sources - secular historians How do we know it's accurate? Ok, but how do we know the Bible is historically accurate? The Bible contains no fiction, since it was written and circulated so soon after Jesus' earthly ministry Fiction or Non-fiction? But how do we know there's nothing fictitious in the Bible that can't be proven or disproven by historians? The Bible's record of accurate preservation blows away any other text Was it preserved? But how do we know the Bible written then has been accurately preserved till today? Ok fine, Jesus was real, and He claimed to be God, because the Bible says so and the Bible is reliable. However, that doesn't mean Jesus really is God. Jesus claim was true Was he God? Jesus claimed to be God He knew his claim was false Liar? His claim was false He was deluded He was a lunatic He was crazy! He didn't know it was false? He was a liar He was a hypocrite He was evil He was a fool, since he died for it He knew it was false FALSE You can either choose to accept this or reject it. He is Lord Therefore He is Lord!

Decision Tree Business Template

Transcript: Recommendations for Implementation Future Trends in Decision Trees Implement decision trees by ensuring accurate data collection and clearly defining evaluation criteria. Regularly update the model to reflect changes in business goals and emerging data, ensuring ongoing relevance and effectiveness in decision-making. The integration of artificial intelligence and machine learning is poised to enhance decision tree models, enabling predictive analytics and better outcome forecasting. As data evolves, so too will the complexity and adaptability of decision tree applications in businesses. Recap of Key Points Decision trees simplify complex decisions by providing a visual representation. Key elements include nodes, branches, and leaves, allowing for effective risk assessment and customer segmentation, thus transforming data into actionable insights. Conclusion and Best Practices Summarizing essential insights on decision trees highlights their value in facilitating informed business decisions and their adaptability in a changing landscape. Implementation requires adherence to best practices and awareness of emerging trends. Benefits of Using Decision Trees Simplification of Decision-Making Decision trees streamline the decision-making process by providing a clear visual structure for evaluating various outcomes. Their straightforward design aids in grasping complex data relationships, ultimately enhancing strategic business decisions. Decision trees break down complex decisions into simpler, more manageable parts. By outlining possible choices and outcomes, they reduce the cognitive load on decision-makers, making the process faster and more efficient. Handling of Non-Linear Data Visual Representation Unlike many traditional analysis methods, decision trees can manage non-linear relationships between variables. This flexibility allows businesses to develop comprehensive models that accurately reflect real-world scenarios without oversimplifying complex patterns. The visual nature of decision trees facilitates a better understanding of business processes. They map out pathways clearly, allowing stakeholders to grasp relationships between variables at a glance, which improves collaborative discussions. Easy Interpretation Decision trees are designed for straightforward interpretation, even for non-technical stakeholders. Their binary structure and clear outcomes help users quickly identify the best course of action without extensive data analysis. Common Applications in Business Risk Assessment Decision trees are invaluable tools that assist businesses in maximizing efficiency and enhancing decision-making across various processes. They provide clear visualization, simplifying the assessment of multiple outcomes based on different inputs. Decision trees facilitate risk assessment by mapping out potential risks and their impacts on business decisions. They allow organizations to weigh the probability of adverse outcomes against potential benefits, aiding in informed decision-making. Regression Trees Customer Segmentation Operations Management Regression trees predict continuous outcomes based on input features. They are typically used for forecasting trends and values, making them effective in financial analysis, sales predictions, and resource allocation. Using decision trees for customer segmentation allows companies to categorize customers based on behaviors or characteristics efficiently. This targeted approach leads to tailored marketing strategies, ultimately enhancing customer satisfaction and loyalty. In operations management, decision trees assist in evaluating process improvements and resource allocations. They provide a clear understanding of operational flows, enabling businesses to streamline processes while minimizing costs. Marketing Strategies Random Forests Classification Trees Decision trees play a pivotal role in formulating marketing strategies by analyzing various campaign outcomes. They help identify which marketing efforts yield the highest returns, optimizing budget allocation and campaign effectiveness. Random forests combine multiple decision trees to enhance prediction accuracy and reduce overfitting. By averaging the results of many trees, this method yields robust models, widely used in complex datasets like image and speech recognition. Classification trees are used for categorizing data into predefined classes. They help in predicting the class label of instances based on attributes, making them valuable in applications like customer segmentation and fraud detection. Types of Decision Trees Decision trees are vital tools in data analysis, categorizing input data into distinct types based on their application. The three primary types are classification trees, regression trees, and random forests, each serving unique purposes in data-driven decision-making. Leaves Leaves are the terminal nodes of a decision tree that signify the final outcomes based on the series of decisions made

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