Machine learning is emerging as todays fastest-growing job as the role of automation and AI expands in every industry and function.
The goal of Machine Learning Certificate is to provide everyone in the world the opportunity to showcase their expertise in ML in an increasingly AI-driven global job market.
This certificate in Machine Learning development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills.
It test a candidate's ability to design, implement, deploy, and maintain machine learning (ML) solutions for given use case.
ML Certific Machine Learning Certification give you special privileged where you can test your ML skills
Basic of Machine learning, Artificial intelligence and Deep learning
Types of Machine Learning Algorithm
Concepts of Supervised ML techniques
Supervised Techniques, classification techniques, regression techniques
Clustering techniques,Anomaly detection
Build, compile and train machine learning (ML) models
Preprocess data to get it ready for use in a model.
Use models to predict results.
Understanding types of Data and Data set,
Preparation Data for Machine Learning Techniques
Use datasets from different sources
Measures Proximity,Data Visualization Techniques
Deep Learning Fundamentals
Forward and Backward Propagation
Parameter / Hyperparameter tuning and Regularization
Use callbacks to trigger the end of training cycles.
Understanding Convolution Neural Networks
Natural Language Processing