Achieved CCIE Collaboration certification in the year 2016, prior to the exam I had 3 years of relevant experience with various complex projects, which paved the way to clear the exam. This certification proves the skills with complex collaboration solutions. To earn this CCIE Collaboration certification, one has to pass two exams: a qualifying written exam that covers core collaboration technologies, and a hands-on lab exam that covers enterprise collaboration solutions through the entire network lifecycle, from designing and deploying to operating and optimizing.
This is one of the excellent beginner ML courses by Andrew Ng! Well-organized with thoughtful content, including the programming steps. The real-world use cases and resources are quite invaluable. Great introductions to the state of art machine learning algorithms & interesting insight into the math behind them.
One thing to be noted is that the programming language used throughout the course is Matlab. Although the course is designed for beginners, one must be well versed in basic programming concepts.
Credentials can be found here
I've completed the Cloud Architecture Specialization with Google Cloud on Oct 30th, 2020. This is quite an intensive program, with 6 courses along with hands-on exercises to learn about the Google Cloud Platform.
This course is strongly recommended for everyone in the networking industry to scale up toward the cloud. This course covers the Core infrastructure Fundamentals, Foundation for Cloud, Scaling and Automation with insights on Design and Process.
Duration: 10 to 15 hours weekly for 3 months
Misc Certificates:
Other certificates completed during the marathon are Machine Learning for Business Professionals, AWS for Machine Learning, AWS for Computer Vision and Data Camp's Intermediate Python and NLP with Spacy.
PATENT: A SYSTEM FOR GENES EXPRESSION CLASSIFICATION AND A METHOD THEREOF
The present invention generally relates to a field of classification systems. More particularly, the present invention relates to a system and a method for classifying gene expression using deep learning algorithms. US7983850B2 discloses a method for gene expression profiling multiple myeloma patients into distinct subgroups via DNA hybridization and hierarchical clustering analysis of the hybridization data where the results may further be used to identify therapeutic gene targets. Also provided is a method for controlling bone loss in an individual via pharmacological inhibitors of DKK1 protein. In addition, provided herein is a method for diagnosing multiple myeloma using a 15-gene model that classifies myeloma into groups 1-7.
Hence, in order to overcome the above-mentioned drawbacks associated with the classification of the gene using a neural network.
The technical advancements disclosed by the present invention overcomes the limitations and disadvantages of existing and conventional systems and methods.
AU PATENT: 2021102701
PATENT URL: Click here
STATUS: FILED
The popularity of Artificial Intelligence (AI) is growing at a very fast pace. Industries are implementing AI as it can replicate human actions, but do it faster and more accurately. This Journey will teach you the skills required to go from an AI Apprentice to AI Architect.