- 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
Free yourself from negative thinking. Design a Purposeful life. Practical Steps towards transformed & Meaningful life
Never Be Confused With The Big Technology Words Ever Again and Communicate Like a Master of Tech!
About the instructors
- 3.69 Calificación
- 81749 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.
Adding graphical representations will improve visual experience.. Otherwise, the content and explanations are good.
Basically was a person (with a heavy accent) reading the overview material of each topic from the website/provider of the tool, platform, application. It was free so no sunk cost except time and this was quicker than finding all the pertinent sites and reading oneself.
Speaker speaks too fast with heavy accent. Not to be too harsh, I would have the same challenge if I were to speak in another language. The real problem is that he is not teaching (at least not so far) but rather presenting a lot of buzz words germane to machine learning. The course title should be amended to include either the words, Introductory or Broad Overview.
too fast and no real understanding