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257 Views

I am a student of class 12th and i have physics chemistry and biology as my main subjects....not maths....can i do bca or btech in artificial intelligence and machine learning.....???

Sayan 25th Jul, 2022

Hello,

Courses in Machine Learning or Artificial Intelligence After the 12th Grade Eligibility Criteria

-Candidates must have completed their 10+2 in science—basically, math and physics are compulsory from a recognized board.

-In the 10+2 board exam, the overall result must be at least 50%.

-The prerequisites for various artificial intelligence courses vary, however any student enrolled in class 10 is eligible to enroll in certificate programmes.

So, if you don't have math subject then you are not eligible.

Good Luck!!

107 Views

my rank is 10251 general category can i get artificial intelligence and machine learning in this clg

Sree Student Expert 31st Aug, 2022

Hello aspirant,

As cut-offs varies from year to year, it is difficult to predict exactly. For your AP EAMCET Rank, based on previous year's Closing Ranks you have chances of getting AI & ML seat in Vishnu Institute of Technology, Bhimavaram, as you have mentioned this College in your question.

Cut-offs changes from year to year and depends on many factors like category, number of students appeared in the exam, difficulty level of the exam, number of seats available, etc.

To predict Colleges based on AP EAMCET Rank, use below mentioned College Predictor Tool

https://www.careers360.com/ap-eamcet-college-predictor

May this information was helpful.

All The Best!!

72 Views

sir I got 70300 rank in ts eamcet ,i belong to ST category .do I get good college for me. in CSM (computer science engineering and artificial intelligence and mechine learning) plzz help me sir

Maitri Mandal 26th Aug, 2022

Hello Aspirant,

With this rank it will be difficult for you to get good colleges with good branches.

Cutoff varies every year depending on various factors. Keep in mind that your chances to grab a seat will vary on the following basis:


Number of seats available

Number of students applied for the same branch

Performance of the students

The category you belong to etc.

Here are some colleges based on your rank where you can get admission :

  • Abhinav Hi-Tech College of Engineering, Moinbad
  • Balaji Institute of Technology & Science, Narsampet
  • Bhaskar Engineering College, Yenkapally
  • Sree Chaitanya College of Engineering, Karimnagar
  • Ellenki College of Engineering College, Warangal

Go through this link to predict colleges based on your rank :


https://www.careers360.com/ts-eamcet-college-predictor?utm_source=qna&utm_medium=ini-cet_cp


Use this link to get more information about cutoff :


https://engineering.careers360.com/articles/ts-eamcet-cutoff


Hope this information will help you.


Best Wishes!

69 Views

I got 27570 rank in comedk...and I am interested in cse,AI, machine learning like stuff...so which college is best for me.Please be honest....

Maitri Mandal 16th Jul, 2022

Hello Aspirant,

To get top colleges in CSE, AI&ML you need to get a very good rank. With this rank in COMEDK you can get admission in the below mentioned colleges-

  • SAMBHRAM....cutoff 27105(CSE)
  • MS ENGINEERING....cutoff 27234(CSE)
  • CAMBRIDGE....cutoff 28283(AI&ML)
  • VIVEKANANDA......cutoff 30053(CSE)
  • Basaveshwar.....cutoff 30054(CSE)
  • BANGALORE COLLEGE OF ENGINEERING.....cutoff 30175(CSE)
  • SAHYADRI.....cutoff 31900( CSE Data science)
  • ATME....cutoff 37006(CSE)
  • GOPALAN....cutoff 38514(CSE)
  • JAIN RESEARCH....cutoff 38899(CSE)
  • GM INSTITUTE.....cutoff 39257(CSE)
  • PES SHIVAMOGGA.....cutoff 40383(CSE)
  • DON BOSCO....cutoff for CSE 42102 and for AI&ML cutoff 43276

You have chances to get medium colleges. You can expect average placement from this colleges. To grab good opportunities you have to prepare yourself more for off campus placements.

Cutoff keeps changing year to year. Keep in mind that your chances to grab a seat will vary on the following basis:

  • number of seats available
  • number of students applied for the same branch
  • performance of the students
  • the category you belong to etc.

Also, you can use this predictor to predict colleges based on your score:

COMEDK UGET College Predictor 2022 - Predict colleges based on your COMEDK Rank (careers360.com)

Check out previous year cutoff from the below link:

https://engineering.careers360.com/articles/comedk-uget-cutoff

Hope this information will help you .

Best wishes.

14 Views

could you please tell me the difference between different courses in CSE like artificial intelligence and machine learning and also which one is better

suchismitaboxi2002 17th Aug, 2022
Hello student

I would suggest you to go with Artificial intelligence rather than machine learning.

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.


Machine learning is a scaled down version of A.I, crudely speaking.

Let me make it clear.

First the Objective part : There is a machine that needs to learn something, just like how a man can learn something. Now, just like how one can use different methods to learn : Some are very powerful methods to learn, some are less weaker methods; some methods require a lot of time and lot of effort, some are simple. Machines also have different methods to learn things.

A machine can learn based on simple and easy techniques like Machine learning. This is starting point for entry to A.I. But there can be much more complicated techniques like Abstraction, back-propagation etc. which help us identify and learn more difficult patterns.

At the heart of both is Pattern Recognition, which is the genesis of this entire field of A.I and M.L.

My suggestion is start with ML and then go for A.I.
14 Views

which platforms helps in learning excel SQL and power bi

Sayan 13th Jul, 2022

Hello,

Power BI is a collection of software services, apps, and connectors that collaborate to link, convert, and clean data into a data model and produce charts for data visualisation. Of all BI tools, Power BI is regarded as the industry leader in business analytics. This has led to an ongoing increase in the need for certified Power BI personnel across the majority of leading MNCs. Therefore, people who are knowledgeable with Power BI ideas and have experience using it may make a good living and have the opportunity to work for prestigious companies. PayScale estimates that the average annual salary for a BI developer is 512,800 rupees ($74,400) in India and the United States, respectively.


Alright! Joining Power BI online training is the finest option, if you're asking me what the best resources are for learning Microsoft Power BI. As a result of this BI tool's popularity, several institutions began providing training in Power BI. In partnership with IBM, Intellipaat is one of the well-known training companies for Power BI.

Thank You

30 Views

I got 45.25 percentile in jee mains 2022. I am from maharashtra and l belong to sc category. please sujest best colleges for artificial intelligence and machine learning where I get admission

Anurag Khanna 19th Jul, 2022

Hello Aspirant,

See If we go through the analysis of marks Vs Percentile Vs rank for JEE-Main 2021 then according to the percentile mentioned by you in the question your CRL rank is expected to be in the range of 560092 - 629625 .


Note that the rank which is predicted is only the expected rank on the basis of previous year's data so your actual rank might vary depending upon current factors.


On such rank you have some chances for AI & ML only in Sahyadri Valley College of Engineering and Technology, Pune.


To have a list of all those colleges which you can get based upon your JEE-Main score or rank you can use JEE-Main College Predictor:-

https://engineering.careers360.com/jee-main-college-predictor?icn=QnA&ici=qna_answer


On such percentile, being a SC candidate you have some chances to qualify for JEE-Advance 2022 but still the cutoffs for this year have not released yet officially.

As the cut-offs are released along with the JEE-Main 2022 result so for now you can get an idea from JEE-Main 2021 qualifying cut-offs that are enlisted below :-

==>> Common Rank List (CRL) - 87.8992241-100.0000000 Percentile

==>> GEN-EWS - 66.2214845-87.8950071 Percentile

==>> Other Backward Classes (OBC-NCL) - 68.0234447-87.8950071 Percentile

==>> Scheduled Caste (SC) - 46.8825338-87.8950071 Percentile

==>> Scheduled Tribe (ST) - 34.6728999 87.8474721 Percentile

==>> PwD - 0.0096375-87.8273359 Percentile

Note that in above table it is not the actual cut-off for JEE-Main 2022 but previous year's cut-off.

You can check out previous year's cut-off trends from the link given below :-

https://engineering.careers360.com/articles/jee-main-cutoff


I hope this information helps you.

Good Luck!!

91 Views

Is learning sharks good for pursuing share market courses ?

pranjalg462 9th Jul, 2022

IT IS A GOOD ONE FOR THE STOCK MARKET. Learning sharks gives amazing courses on grasping Financial Market. I'm doing Smart Investor courses which remember profundity information about Fundamentals information about shares, Technical Analysis, and Options Strategies.

The best financial exchange establishment is finding out about sharks, there is no discussion. Given how many tutors the learning sharks foundation has, learning sharks has 100+ long periods of involvement contrasted with ism's joined staff insight of 20 years.


Whether you are a fledgling or an expert, neither one of the establishments is better compared to the next. By and by, I'd like to read up about sharks for different reasons.

52 Views

Hi, My name is Surya Teja.Recently completed BTech from Bharath University and placed at Chubb limited for data scientist role.I need to learn deep learning and NLP.Can anyone guide me how to start deep learning and NLP.And any recommended course for deep learning and NLP??

suchismitaboxi2002 17th Aug, 2022
Hello
Deep Learning is known as a small branch of the Artificial Intelligence. With the help of a Deep Learning training, we can instruct our computers to learn for themselves in a way that gives us actionable outcomes.

Following are the Best Deep Learning Courses:

Best Overall Course: Deep Learning Nanodegree (Udacity)

Deep Learning Specialization (Coursera)

Complete Guide to TensorFlow for Deep Learning with Python (Udemy)

Deep Learning A-Z: Hands-On Artificial Neural Networks (Udemy)

An Introduction to Practical Deep Learning (Coursera)

Deep Learning, by 3Blue1Brown (YouTube)

Deep Learning: Recurrent Neural Networks in Python (Udemy)

Advanced AI: Deep Reinforcement Learning in Python (Udemy)

Deep Learning with Keras (Pluralsight)

Introduction to Deep Learning (Coursera)

The best Institutes for Deep Learning Courses in India are listed below:

Analytixlabs
Upgrad
Coursera
Udemy
Jigsaw Academy
Manipal ProLearn
Udacity
TalentSprint
Great Learning
ZekeLabs


The best way to learn about it is to go do it. Rob's suggestions of an intro course or a tutorial is a great way to get started, but really what you should do is try to solve some problem with NLP.

Here's how you might do that. Go download NLTK (Natural Language Toolkit). Then build some software that does something cool.

Here are some ideas:

Run a bunch of different POS taggers on some text and characterize the differences. Which is better for what domain? Do they make similar mistakes?
Build a sentiment analysis system and run it on a bunch of reviews, or tweets about something. See what mistakes it's making and figure out how to make it better. What features should you use that can help it do better? Find out if people liked the Interview, or whatever the movie du jour is!
Write a system to detect spam reviews on review sites. You can find a huge dataset here: Detect Fake Reviews and Reviewers or a smaller one here: http://myleott.com/op_spam/.
Build a system for some other language. Text segmentation in Chinese is fun and hard, but really pick any problem and apply it to another language, and you'll learn a huge amount about your assumptions about what works and what doesn't work.
None of these things will work well on your first try -- a key lesson in NLP, actually -- so the main thing you should focus on, once you get a baseline system working, is to figure out how to make your system better. That's 90+% of the effort in NLP.

Best of luck
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