DL and DS webinar Q&A by Prof.Pratyush Kumar

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DL and DS webinar Q&A by Prof.Pratyush Kumar

How to start writing a research paper in deep learning?

You write a paper when you have something interesting to say, right, so a research paper is ...

Why do we say data is the new oil?

Okay, you might have heard this, I think oil is what gives money I suppose in the last century ...

I am a final year BE IT student. I want to see myself in faang companies as a data scientist. So how can I achieve that?

Get your programming basics strong especially Data Structures and Algorithms. Participate in ...

Hello sir , I'm in my 2nd year EXTC should I follow up with machine learning and deep learning in future

Obviously, you can start learning AI, This domain is going to impact each and every domain ...

will data science reduce the volume of data generated

Data science can help you to get meaningful insights into data, however big it is, it will ...

What is the role of a data scientist?

The role of the Data scientist depends upon the company/product which he/she is working on, ...

It is possible to get a job in data science through an online course

Yes it is possible, you need to show the commitment and should gain the relevant skills by ...

How to start with Python with data science if we don't have coding background having approx 10 years of experience in IT.

There are many resources to explore data science with python, you can choose the courses from ...

what is the difference between deep learning and machine learning?

Machine learning is a subset of artificial intelligence associated with creating algorithms ...

How can Data Science be effectively used in the Aerospace domain?

Data Science is impacting every domain when it comes to aerospace the data Analytics is already ...

Want to learn advance deep learning concepts can you suggest some books and courses for the same

you can take IIT professors Deep Learning course from Guvi which covers a wide range of skills ...

Is the DL course sufficient to find a job in good companies? Please suggest links where we can work on real use-cases.

If you have good coding skills, descent knowledge in Mathematics,you can start your journey ...

What are some of the best practices to learn deep learning in a better way?

If you are from non-computer science background try to get some good programming skills and ...

A career in Deep learning

You will come across a lot of algorithms and maths while you are pursuing deep learning. You ...

Why AI os has not figured it out yet?

There is an Artificial neural network-based OS named NeurO. Operating systems are specifically ...

What are the plans the industry is planning to handle the huge amounts of data in the future?

Data volumes will continue to increase and migrate to the cloud. And the amount of data generated ...

The main use of deep learning in computer science

Deep Learning is not confined to just one particular domain, It is widely used in many domains ...

Transfer learning is suitable for medical image classification

In transfer learning, the neural network is trained in two stages: 1) pretraining, where the ...

Why is deep learning important for data scientists? Isn't it more closer to machine learning and AI?

It depends upon the data science position which you hold, your company, and the domain. Some ...

What is a confusion matrix?

a confusion matrix is a metric that is often used to measure the performance of a classification ...

sir how object detection bounding box technique work

I assume you have a minimal understanding of regarding basics of object detection. we usually ...

From where to start programming or Maths

For all of these Data-driven domains, you should have minimal understanding of mathematics, ...

Which deep learning framework to prefer Tensor Flow or Pycharm? Where and why?

Pycharm is a cross-platform IDE, Python IDE editor that can be used on Windows, macOS, and ...

what is the scope of Data Sets in deep reinforcement learning?

Deep reinforcement learning methods require active data collection, where the model actively ...

What is the best resource for end to end practical exposure to Deep Learning and ML?

you can follow guvi's AI course package which is made by IIT Madras professors, moreover than ...

What are the chances of fresher in getting a job in the machine learning field?

as discussed, if you are a good problem solver in the data-driven domains then there might ...

What level of deep learning and machine learning should I know, apply for an internship in the field of data science.

you should be good at programming, basic mathematics, and you should be aware of data preprocessing, ...

Importance of statistics and linear algebra in the current scenario to work as a data scientist.

linear algebra is to find the solution of a set of linear equations. Broadly speaking, in linear ...

As a fresher what are the tools we should be equipped with and on resume what should be reflected?

be clear with the basics then you should have good practical knowledge in dL libraries like ...

Will the Deep learning course provide me with enough knowledge to carry out research under deep learning professors?

yes, it covers almost all essential concepts in DL but you need to update yourself by participating ...

Can I branch into data science right after finishing college with a computer science degree?

Yes, you can do, your cs degree helps you a lot ...

Query of File handling

Hello Sir.I am doing deep learning course. I am not getting the file named 'mobile_cleaned.csv ...

I'm already having a post graduation in biotechnology. So a degree in data science, or a specialization in AI, but which would be a better option?

Now, this is a hard choice for me to make for you. I can just tell you what, what this means. ...

Even though I am working in a data scientist role, I couldn’t able to learn NLP and advanced ml? It seems to be a mystery to me.

Do not think of everything as mystery, it might be more complex. Because there are more things ...

Most of our learning happens via unsupervised learning, but how is that problem considered or not considered in deep learning?

My understanding of the question is that we, as humans, seem to be able to work with not much ...

what is the main system requirements for a PC or laptop, if I want to use it for deep learning or data science

It depends a bit on what you are going to do with it right. So if you are trying to learn data ...

Given the growth of auto machine learning is a formal education and statistics or analytics still necessary? What's your opinion as an educator?

So I think we discussed auto ml before. There are ml techniques being used to automate the ...

So how to proceed in machine and deep learning and data science after completing your both padhai courses please guide us?

Well, you have a good background in data sciences and deep learning. There are other advanced ...

Recently I heard about MLflow and Kubeflow.Could you please explain this?

Rather than worrying about Google, AWS, Microsoft stacks and so on, it may be more useful for ...

Can we transfer the parameters of the trained RNN model for building a new RNN model?

Okay, so RNN models, of course, are used for sequential data. But this question should be looked ...

With breakthroughs in data science and artificial Intelligence Do you think that might be human-like artificial general intelligence in future?

Yeah, we discussed this earlier also this thing about AGI Firstly, as I said, the definition ...

How can we reduce bias in data? What are data scientists in India doing about it? How can we contribute and be a part of this?

So a bias in data science and machine learning is an important problem. Because what are we ...

Learn Practice Get Hired

How to start writing a research paper in deep learning?

Why do we say data is the new oil?

I am a final year BE IT student. I want to see myself in faang companies as a data scientist. So how can I achieve that?

Hello sir , I'm in my 2nd year EXTC should I follow up with machine learning and deep learning in future

will data science reduce the volume of data generated

What is the role of a data scientist?

It is possible to get a job in data science through an online course

How to start with Python with data science if we don't have coding background having approx 10 years of experience in IT.

what is the difference between deep learning and machine learning?

How can Data Science be effectively used in the Aerospace domain?

Want to learn advance deep learning concepts can you suggest some books and courses for the same

Is the DL course sufficient to find a job in good companies? Please suggest links where we can work on real use-cases.

What are some of the best practices to learn deep learning in a better way?

A career in Deep learning

Why AI os has not figured it out yet?

What are the plans the industry is planning to handle the huge amounts of data in the future?

The main use of deep learning in computer science

Transfer learning is suitable for medical image classification

Why is deep learning important for data scientists? Isn't it more closer to machine learning and AI?

What is a confusion matrix?

sir how object detection bounding box technique work

From where to start programming or Maths

Which deep learning framework to prefer Tensor Flow or Pycharm? Where and why?

what is the scope of Data Sets in deep reinforcement learning?

What is the best resource for end to end practical exposure to Deep Learning and ML?

What are the chances of fresher in getting a job in the machine learning field?

What level of deep learning and machine learning should I know, apply for an internship in the field of data science.

Importance of statistics and linear algebra in the current scenario to work as a data scientist.

As a fresher what are the tools we should be equipped with and on resume what should be reflected?

Will the Deep learning course provide me with enough knowledge to carry out research under deep learning professors?

Can I branch into data science right after finishing college with a computer science degree?

Query of File handling

I'm already having a post graduation in biotechnology. So a degree in data science, or a specialization in AI, but which would be a better option?

Even though I am working in a data scientist role, I couldn’t able to learn NLP and advanced ml? It seems to be a mystery to me.

Most of our learning happens via unsupervised learning, but how is that problem considered or not considered in deep learning?

what is the main system requirements for a PC or laptop, if I want to use it for deep learning or data science

Given the growth of auto machine learning is a formal education and statistics or analytics still necessary? What's your opinion as an educator?

So how to proceed in machine and deep learning and data science after completing your both padhai courses please guide us?

Recently I heard about MLflow and Kubeflow.Could you please explain this?

Can we transfer the parameters of the trained RNN model for building a new RNN model?

With breakthroughs in data science and artificial Intelligence Do you think that might be human-like artificial general intelligence in future?

How can we reduce bias in data? What are data scientists in India doing about it? How can we contribute and be a part of this?

What is the relationship between data science and deep learning?

Scope of deep learning in mechanical engineering.

Contribution of deep learning and data science in satellite image processing.

Will you be releasing a course on advanced deep learning, like GANs object detection? And how can we maintain up pace?

Intuition versus implementation. What is more important for a business consultant when it comes to machine learning?

Is it an easy test for mathematics students to complete perfectly and career opportunities?

How to write customized loss functions separately for false positives and false negatives?

How do you see data science in the pharma sector and automobile sector? how important is it?