Machine learning process storage checklist ppt powerpoint presentation layouts rules

Description:

The image is a PowerPoint slide titled "Machine Learning Process," which outlines a five-step procedure commonly used in machine learning projects:

STEP 1:

Gathering data from various sources: The initial phase where data is collected from multiple sources.

STEP 2:

Cleaning data to have homogeneity: Data is cleaned to ensure consistency and quality for analysis.

STEP 3:

Model Building-Selecting the right ML algorithm: A crucial step where an appropriate machine learning algorithm is chosen for the data.

STEP 4:

Gaining insights from the model’s results: Analyzing the outcomes of the model to understand patterns and make predictions.

STEP 5:

Data Visualization-Transforming results into visuals graphs: The final step involves presenting the data in a graphical format to facilitate comprehension and decision-making.

Use Cases:

This structured approach to machine learning is vital in a variety of industries:

1. E-commerce:

Use: Enhancing recommendation engines

Presenter: Data Scientist

Audience: Product Managers

2. Automotive:

Use: Developing autonomous driving systems

Presenter: Research and Development Engineer

Audience: Automotive Engineers

3. Healthcare:

Use: Predicting patient diagnoses from medical data

Presenter: Biostatistician

Audience: Healthcare Providers

4. Finance:

Use: Analyzing credit risk based on customer data

Presenter: Risk Analyst

Audience: Credit Officers

5. Telecommunications:

Use: Optimizing network traffic and predicting outages

Presenter: Network Analyst

Audience: Operations Team

6. Real Estate:

Use: Estimating property prices using market data

Presenter: Market Analyst

Audience: Real Estate Agents

7. Agriculture:

Use: Predicting crop yields from weather and soil data

Presenter: Agro-technologist

Audience: Farmers and Agricultural Businesses