Introduction
- 3.1 Machine learning introduction
- 3.2 Machine learning algorithms
- 3.3 Machine learning softwares
- 5.1 AWS and Machine learning
- 5.8 TensorFlow - Open source Machine Learning framework
What you'll learn
- Understand Machine learning concepts.
Description
Machine learning course comprises below lectures.
# Course Duration
3.1 Machine learning introduction 00:07:11
3.2 Machine learning algorithms 00:10:25
3.3 Machine learning softwares 00:14:43
5.1 AWS and Machine learning 00:08:51
5.8 TensorFlow - Open source Machine Learning framework 00:16:15
Machine Learning on AWS covers more details about concepts of TensorFlow, Amazon SageMaker and other AWS ML topics.
Course covering KDD, AI, BI, Deep learning, Neural Networks, ANN, Decision tree, Bayesian networks, TensorFlow and Knime
The University of Sheffield
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About the instructors
- 3.84 Calificación
- 115504 Estudiantes
- 8 Cursos
Kaushik Vadali
Cloud Infra and Info Security professional at CBTU
Having 25+ years of enterprise infrastructure, data, info security and project management experience.
Enterprises were safe and steady yesterday may become upset overnight with any kind of attacks. Directly faced the industry and its pulse against DDoS atacks, Ransomwares and securing overall enterprise security.
Conducted security audit for numerous organizations, baselined security posture and architected secure solutions with prompt alert monitoring and analysing tools.
Handled infra projects including hybrid cloud migrations, Optimizing infrastructure for HA and security.
Education and training organization employees to implement organization security policies and monitor incidents and react to proactively with building incident response teams.
Certified in Cisco, Juniper networks and firewalls, Certified in Cloud migrations and security.
Consultant and Honorary faculty in prestigious institutions.
Student feedback
3.3