| Machine learning/AI Training Overview 
				
			Machine learning is based on algorithms that can learn from data without relying on rules-based programming. It came into its own as a scientific discipline in the late 1990s as steady advances in digitization and cheap computing power enabled data scientists to stop building finished models and instead train computers to do so. The unmanageable volume and complexity of the big data that the world is now swimming in have increased the potential of machine learning-and the need for it.
			
 Machine learning/AI Training Course duration
 
 3 Days
 
 Machine learning/AI Training Course Topics
 
    Machine learning/AI Training Course ObjectivesOverview, goals, learning types, and algorithms
Data selection, preparation, and modeling
Model evaluation, validation, complexity, and improvement
Model performance and error analysis
Unsupervised learning, related fields, and machine learning in practice
	 
 Gain Insights Into These Vital Issues:
 
    Machine learning/AI Training Course outlineHow are traditional industries using machine learning to gather fresh business insights?
What does it take to get started?
What's the role of top management?
Discovering the ambition for the business based on where value is migrating
Designing a transformation program that targets profitable customer journeys
Delivering the change through an ecosystem of partners
De-risking the transformation process to maximize the chances of success
Where the business should go?
Create a plan for the digital transformation
Who will lead the effort?
How to 'sell' the vision to key stakeholders
Where to position the firm within the digital ecosystem
How to decide during the transformation
Execute the transformation plan, allowing for ongoing adaptation and adjustment.
How to allocate funds rapidly and dynamically
Increase the transformation's prospects for success
How to hire and develop the right team for you
	 
 Applicationsof Machine Learning Customized For Your Industry
 
Robotics
Data mining
Finance
E-commerce
		Product Search
		Product Recommendation and Promotions
		Trend forecasting and analytics
		Fraud detection and prevention
		Named-entity recognition
       
Object Recognition
Natural-Language Processing
Machine Vision
 
 
 
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