Best Of
Re: Will you evaluate weekly progress and how?
Yes, definitely. upSkill campus is providing value driven Internship opportunities. It provides Industrial projects and learning material needed to complete those projects.
Each week, there is targets to achieve, it's tracked on portal by seeing your learning progress, through quizzes and assignments.
Project progress report has to be submitted for every week. All these submissions are evaluated by upSkill campus team regularly.
All this process, make this internship the best option for all students and even working professionals planning to start career in new domain.
Re: Explain Long Polling.
Long polling is a web communication technique used to achieve real-time updates or asynchronous data retrieval between a web client (typically a browser) and a server. It is often used when there is a need for near-real-time updates from the server to the client without the continuous overhead of repeated polling.
Here's how long polling works:
Client Request: The client (usually a web browser) initiates a request to the server for some data or updates. This request is made using a standard HTTP request, just like any other request for a web page or resource.
Server Processing: The server receives the client's request and starts processing it. Instead of immediately responding with the requested data, the server "hangs" the request, meaning it does not send a response back right away.
Event or Data Availability: The server waits until there is new data or an event that the client is interested in. This could be new chat messages, stock price changes, or any other type of real-time information. When this data or event becomes available, the server prepares a response.
Server Response: Once the data or event is ready, the server sends a response back to the client. This response typically contains the updated data or information the client was waiting for.
Client Handling: The client receives the response and processes the data. After processing the response, the client immediately initiates a new request to the server, effectively starting the process over again.
Loop: This cycle of request, delayed response, and new request continues as long as the client wants to receive updates or until a predetermined condition is met.
List some live examples of embedded systems use.
Write down some live examples of embedded systems use.
Re: What is a confusion matrix?
The confusion matrix is a matrix used to determine the performance of the classification models for a given set of test data. It can only be determined if the true values for test data are known. The matrix itself can be easily understood, but the related terminologies may be confusing. Since it shows the errors in the model performance in the form of a matrix, hence also known as an error matrix.
Re: What is a confusion matrix?
A table that summarizes how a supervised learning algorithm is performed is known as a confusion matrix. It gives an overview of the outcomes of a classification problem prediction. The confusion matrix can be used to identify both the types and quantities of errors made by the predictor.
Re: What is SVM? Can you name some kernels used in SVM?
Support vector machine is the technical term. They are applied to jobs requiring categorization and prediction. A separation plane used in SVM distinguishes between the two classes of variables. A hyperplane is the name for this separating plane. Some of the kernels used in SVM are –
- Polynomial Kernel
- Gaussian Kernel
- Laplace RBF Kernel
- Sigmoid Kernel
- Hyperbolic Kernel
Why do machine learning engineers/scientists earn such high salaries?
I was wondering what are the main applications and use of machine learning that its in high demand now a days and professions of these field tend to get such high salary
Re: Why do machine learning engineers/scientists earn such high salaries?
Because ML Engineers have a wider breadth of knowledge
Even though both roles require a variety of technical skills, ML Engineers are often required to have a much wider (and also different) set of technical skills as compared to Data Scientists.****
Re: Explain the steps in making a decision tree.
- Use the complete collection of data as your input.
- Determine the target variable's entropy as well as the characteristics of the predictors.
- Calculate the information you have gained from all attributes (we learn knowledge through sorting items about one another).
- As the root node, pick the property with the greatest information gain.
- Until each branch's decision node is reached, carry out the same steps on each branch.
Re: Is Machine Learning a Good Career ?
With the right combination of knowledge, skills, and dedication, you can prepare yourself to become a machine learning expert.
• Research & Education: Do your research on the field of machine learning and familiarize yourself with the concepts and principles. It’s important to understand the basics before getting into more complex topics. You may also want to consider taking courses on machine learning or pursuing a degree in computer science or related fields.
• Developing Technical Skills: Developing technical skills such as programming languages, algorithms, linear algebra and calculus is essential for succeeding in machine learning. Plus, it’s important to be familiar with different software packages and libraries like TensorFlow or PyTorch used in this field.
• **Learn From Experienced Professionals: **Connecting with experienced professionals in the field is an effective way of learning from their experiences and gaining valuable advice about entering or advancing your career in this field. Take advantage of online forums, social media networks and industry events to engage with these professionals.
