Model Training
Key Concepts in Data Science
Predictions
Introduction to Machine Learning
Using Statistical Models
Controls
Governance
Overcoming Predictive Analytics Challenges
Data Science 
Model Building: Developing predictive models using machine learning algorithms
...Automated Machine Learning (AutoML): Tools that automate the model selection and
training process
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Anomaly Detection Isolation Forest: This tree-based
model isolates anomalies instead of profiling normal data points
...Labeling: In supervised learning, obtaining labeled data for
training can be difficult and time-consuming
...
Key Concepts in Data Science Description Examples Supervised Learning Algorithms that learn from labeled
training data
...Model Evaluation Model evaluation is crucial for assessing the performance of machine learning models
...
Predictions The process typically involves the following steps: Data Collection Data Cleaning and Preparation
Model Selection Model
Training Validation and Testing Deployment and Monitoring Applications of Predictions in Business Predictions are utilized across various sectors within
...
Introduction to Machine Learning Learning Machine Learning can be broadly categorized into three main types: Supervised Learning: In this type, the
model is trained on a labeled dataset, meaning that the input data is paired with the correct output
...Unsupervised Learning: This involves
training a model on data that does not have labeled responses
...
Using Statistical Models Statistical
models are essential tools in the field of business analytics and machine learning
...Overfitting: Models that are too complex may fit the
training data well but perform poorly on unseen data
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Controls Training and Awareness: Provide training for employees on the importance of controls and their role in maintaining data governance
...DCAM The Data Management Capability Assessment
Model focuses on assessing and improving data management capabilities
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Governance Governance
Models Various governance models can be implemented in business analytics, each with its own advantages and challenges
...Invest in
Training: Provide ongoing training and education to employees on governance practices and the importance of data quality
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Overcoming Predictive Analytics Challenges Overfitting
Models: Creating overly complex models that perform well on
training data but poorly on unseen data
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Resource Optimization Programming A mathematical method for determining a way to achieve the best outcome in a given mathematical
model ...Cost of Implementation: The initial investment in tools and
training can be a barrier for some organizations
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Selbstständig machen mit Ideen 
Der Weg in die Selbständigkeit beginnt nicht mit der Gründung eines Unternehmens, sondern davor - denn: kein Geschäft ohne Geschäftsidee. Eine gute Geschäftsidee fällt nicht immer vom Himmel und dem Gründer vor die auf den Schreibtisch ...
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