The document discusses the significance of big data and machine learning, highlighting their potential to unlock value and facilitate decision-making. It covers various machine learning algorithms, the implications of big data in security and analytics, and presents both the opportunities and challenges associated with these technologies. Additionally, it addresses real-life applications and the historical context of big data.

1. Machine Learning and Big Data
By: Amr Saleh

6. How Big Is Data?

11. Why Big Data?
• Understanding the world
• Unlocking value
• Taking decisions
• Build Smart Algorithm
$22 Billion
$26 Billion

15. Machine Learning Algorithms
• Linear regression (supervised)
• Clustering (unsupervised)

20. The Dark Side of TechnologyThe dark side of Data
• Car Security
• Car Safety
• Behavioral Analysis
• Criminal Analytics

21. Conclusion
• What is machine learning
• Application for ML
• Big Data History
• Opportunities in the Market
• IoT
• Real life applications for Big Data
• Machine Learning Algorithm
• The bright and dark side of Technologies