Hi, can i know what is meant by: (imdilate(L == 0, ones(3,3)) What is L == 0? and ones(3,3) This can be found in marker controlled watershed segmentation algorithm. Thank you very much. ThemeCopy gradmag2 = imimposemin(gradmag, bgm | fgm4); L = watershed(gradmag2); I...
If you want your analytics efforts to pay off, you need to deploy the results of your discoveries and put them to use. Machine learning and other models are not meant to sit on the shelf – you must use them to get the business value. Yet the deployment phase is where most organization...
A business intelligence dashboard, or BI dashboard, is adata visualizationand analysis tool that displays on one screen the status of key performance indicators (KPIs) and other important business metrics. It provides these data points to an organization, department, team or process. Dashboards ar...
Now that you have an overview of what Prometheus is, letâs step back for a minute and look at what is meant by âmonitoringâ in order to provide some context. Following that I will look at what the main components of Prometheus are, and what Prometheus is n...
What is meant by the term commutative in algebra? Explain along with an example. In math, what does the word 'of' mean? How do you divide a fraction by a fraction using the standard algorithm? Explain why the relative magnitude of the quoti...
Examples of machine learning include pattern recognition, image recognition, linear regression and cluster analysis. Where is ML used in real life? Real-world applications of machine learning include emails that automatically filter out spam, facial recognition features that secure smartphones, algorithms...
OpenAI's GPT is foundational to today's generative NLP. Word2Vec and GloVe word embedding models improved tasks such as sentiment analysis and translation. What is conversational AI, and how is it different from predictive and generative AI?
Before training, you have an algorithm. After training, you have a model. For example,machine learning is widely used in healthcarefor tasks including medical imaging analysis, predictive analytics, and disease diagnosis. Machine learning models are ideally suited to analyze medical images, such as...
Before training, you have an algorithm. After training, you have a model. For example,machine learning is widely used in healthcarefor tasks including medical imaging analysis, predictive analytics, and disease diagnosis. Machine learning models are ideally suited to analyze medical images, such as...
When a learning algorithm (i.e. learner) is not working, often the quicker path to success is to feed the machine more data, the availability of which is by now well-known as a primary driver of progress in machine and deep learning algorithms in recent years; however, this can lead to...