Hello Aspirant,

Hope you are doing great. In terms of employment opportunities, both branches are strong. Both have excellent scope. Depending on your interests, you can select any branch. When comparing the two fields, CSE is more versatile than IT. One excellent area of engineering is information technology. This branch's placement is also excellent. Many multinational corporations (MNCs) that work in the software industry hire a sizable number of IT and computer science students each year. Because artificial intelligence and machine learning are the top trending technologies, CSEs with a focus on these fields earn the highest salaries.

ALL THE BEST

Hello,

Yes, As a ECE student, you can learn language side by side.

Study programming languages for computers. Most of the time, C, DBMS, or data structures are only studied in the academic programmes of ECE students as elective courses. However, these courses won't be enough to compete with CSE candidates. Therefore, educate yourself on the most recent and commonly used software by learning C++, Java, Unix, and DOT net. Do not hesitate to inquire of your seniors who have just been hired by a software company after graduating from college. Due to the regular fluctuations in demand, they will be more knowledgeable about the courses that are now in high demand.

Thank You

Hello student

Artificial Intelligence (AI) is the concept that describes machines that have characteristics of human intelligence. What you’re probably interested in is Machine Learning (ML), one approach to AI which has so far proven to be one successful approach to building these “smarter” (in a human sense) machines.

ML takes data, learns from it, and then uses it to make predictions. In general, it’s proven quite useful for computer vision (e.g. recognizing handwriting) and for classification problems (whether an email you receive is spam or not).

In the realm of finance, ML has played a role in helping institutions approve loans and assess risk. In trading, it’s also helped market/stock price movements—think linear regression.

There are very few ML courses that deal with trading. These are:

Machine Learning for Trading from Udacity

Machine Learning for Data Science and Analytics from Columbia University

Machine Learning Engineer Nanodegree from Udacity

Note, only the first course on this list deals specifically with trading. The rest provide overviews while introducing ML in context of different industries (of which finance is one).

If you’re looking for something more cutting edge, I’d recommend looking into Andrew Ng’s Deep Learning specialization (series of five courses—$39/month) that launched just a few months ago. It specifically deals with one subset of ML, Deep Learning (DL), that’s transforming how AI applications in several fields already.

While the course doesn’t specifically address trading or finance, it does teach you the fundamentals of a technique that has shown promise already in trading.

Will there ever be a more advanced online course in this category (of AI and trading)? My guess is probably not. Most firms treat their algorithms, neural networks, techniques, hardware setups, etc. like their Golden Goose, one they’re not likely to share with the world.

My guess is that any future online courses on ML/DL and trading will remain fairly basic. That or you may learn about a handful of outdated or irrelevant techniques. Either way, you’ll at least gain an intuition for how people are applying AI to trading.

Happy learning

Familiarity with the German language in India has opened up work prospects in medication and medical care, schooling, coordinated factors, car, power and utility, broad communications, amusement, the travel industry, data innovation, monetary administrations, and re-appropriating, and so forth. German college degrees have a phenomenal global standing and are profoundly regarded by bosses around the world. Whenever you have accomplished a high level in dominating German, you have the chance to travel and work in Germany, Austria, and Switzerland.

Hi,

Learning a language is an experience in itself and when it comes to a language of such a rich historical value, it only adds up to your personality and life experiences. You get to read literature of a totally different domain, understand the culture of several countries where the language is of primary use.

Urdu is spoken by a large portion of the Indian population, but only by one community. With the popularity of English and Hindi, knowledge of Urdu is becoming more limited. Because there aren't many candidates, it will be easier to find work. Though there are few job opportunities, they are plentiful.

You could work as a professor, a translator, in MNCs, or as a journalist at an Urdu publishing house. Learning a language has only advantages. Because Urdu is a living language, learning it can be extremely beneficial. Historians and sociologists would benefit from an Urdu doyen.

Outside of India, especially in the UAE, the scope for Urdu is greater. It is a widely spoken language in Pakistan, the Middle East, and many other countries, including the United Kingdom, the United States of America, and Canada. As a result, finding work is easier in those countries. You may be able to find work in multinational corporations in Arab countries. You could also work in local journalism and news organisations.

You can check the following link to see which colleges in India provide BA level courses for Urdu learners. This list includes prestigious colleges like Presidency College, Chennai, Government Brennan College, Thalassery, etc. -

https://university.careers360.com/colleges/list-of-ba-in-urdu-degree-colleges-in-india

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For more information regarding the average fee, salary, scope of higher education, you may check the following link -

https://www.careers360.com/courses/urdu-course

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Hope it was of some help! Feel free to ask more such doubts.

Hello,

Yes there are some universities that provide BSc Radiology and imaging course as a on distance learning in India. Some of them are:

1. CMJ university, Meghalaya

2. The Global Open University, Nagaland

3. Vinayaka Missions Research Foundation, Tamil Nadu

Thank you.

See, the basics of Machine Leaning lie in the complex mathematics that lie behind the super cool algorithms like linear regression, logistic regression, decision tree and some advanced concepts like deep learning. Machine learning is easy, but what makes it tough is the maths behind it. If you can tackle the maths part, you'll do just great, as the programming is easy.

Now, if you know basic Python then you'll face no problem as most of the implementations is done using the existing libraries, you can easily implement the algorithms.

Hope I have answered your question. All the best!

Hello student
ML and AI are complementary, but they target different goals.

AI has a very specific purpose of building an intelligent agent that can take rational decisions under various different circumstances. By its very nature, the intelligent agent needs to interact with environment that were built for humans and hence must be capable of human-like capabilities i.e reading natural language text, understanding speech, recognizing different objects etc. The application focus is something like, a robot capable of automatically identifying and fixing issues that can occur in a nuclear reactor or a robot capable of self navigation, experimentation and reporting "interesting" observations during extra planetary missions etc. From these application, we also get some higher order AI problems. For example, a robot self-navigating a planet, needs to plan and chart its course from point A to point B or a robot that is attempting to fix a leak in a nuclear reactor needs to identify the set of task to perform so that the leak is fixed.

The goal of ML is to assimilate known knowledge in an abstract form called models, and be able to predict certain unknowns for instances that will be seen in the future. For example, in an email spam classification task, the goal is to learn a model from a known set of emails that have been labeled as spam or not spam and be able to predict whether the new email that we just received is spam or not spam. Classification is just one concrete instantiation of ML goal. Clustering can be thought of as predicting cluster variables for future instances and Regression can be thought of as predicting function values for points that haven't been observed so far etc.

AI with its very specific application focus can use tools built in ML to achieve its goals. However, ML serves a much broader class of problems.

With these in mind, what you want to start from is entirely upto you. For example, if you want to build planet-navigating robots then you probably need to start from AI, learn about the various interesting problems involved in AI, see what kind of ML tools you will need to learn, come to ML learn those tools and go back to AI. However, if your interest lies in building the ML tools that serve a fairly broad class of problems many of which are relevant in the real world today [1], then you may want to start learning ML first.

Note that, both ML and AI are vast fields with many things to learn. Even though I suggest switching from ML to AI and AI to ML, it is not as easy as it might sound :-). Unless you know what you want to learn and how you plan to use it, you might be aimlessly going into and learning things, that may or may not be relevant to what you might want to do. Not that it is wrong, but, as humans, we have very limited time and we need to use it as efficiently as possible.

[1] From a research perspective, researching in ML can get you funds. From a job perspective, many people are hiring folks who have reasonable understanding in ML and can use various tools like weka, libSVM etc.

Dear aspirant hope you are doing well.....

Top engineering colleges in Tamilnadu for Artificial intelligence and Machine learning are listed

• SRM Institute of Science and Technology,Chennai
• Rajalakshmi Engineering College ,Thandalam
• Saveetha Engineering College ,Chennai
• SRM Easwari Engineering College

Hope it's helpful thank you.

Hello,

Bharti Vidyapeeth, Pune is a better choice than the DY Patil Medical College, Pune.

In terms of the Faculties, Infrastructure, Campus and the other opportunities such as Co - curricular activities and hospital visits and practices , Bharti Vidyapeeth is a good option.

In terms of the fees , D.Y Patil is slight expensive as it costs INR 1.13-1.14 Crores for the 5.5 years whereas Bharti vidyapeeth costs INR 98-99 Lakh for the same tenure.

So choose wisely for your future.

Hope it helps .

Thank you.