- 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
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
Best ways to overcome any kind of business fear easily
No B.S. Unbiased Look At The Pros & Cons of Clickfunnel so You Can Confidently Decide if It's Right For Your Business
Minicourse about Cryptography, Patterns, Connections, and Unraveling of numbers. With 50+ exercises to boost your brain!
Learn how to make Apple Watch apps from scratch. No prior experience needed. Become an expert Apple Watch Developer.
About the instructors
- 3.83 Calificación
- 79485 Estudiantes
- 10 Cursos
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.
It was a general description of algorithms, methods and programs to work in the Machime Learning world. It is very basic and does not go deep in anything. Also it is a pity the lack of subtitles.
Good for understanding basics of ML. Loved it.
It would be great help if u gave us the notepad pages as reference