Should a machine learning beginner go straight for deep learning?
Asked by Rksanthosh Last Modified
Follow 2 
Answer 
no
0
Comments
It all depends on your end goal, if you want to experience the power of modern computer then go for Deep learning, but in DL you need some basic machine learning concepts. If you want to know how machines predict the weather or make their own artificial intelligence, then learn ML
0
Comments
It all depends on your end goal, if you want to experience the power of modern computer then go for Deep learning, but in DL you need some basic machine learning concepts. If you want to know how machines predict the weather or make their own artificial intelligence, then learn ML
0
Comments
View 2 more Answers
Related Questions
Is that possible to do machine learning and Data science course after B.com, MBA Finance and marketing students and how is career growth? 
People from any background can learn Machine Learning & Data Science concepts. But all it requires is you need to stay focus and continuous practice. It can be applied in any domain like Finance, Marketing,...
24 How do i start learning, machine learning from scratch? considering i'm already in the field of computer science and engineering.
Hi Akash, I suggest you to come to our institute for proper guidance. Our experienced Python Trainer will solve your queries. Thanks, Ethans tech, Pimple Saudagar
Is machine learning currently overhyped?
So, is Data Science/Machine Learning/AI overhyped right now? In short, no. While there is definitely a lot of hAnd while there are still some challenges to overcome, the hype is not unwarranted. These...
What are prerequisites to start learning machine learning?
Statistics. Probability. Linear Algebra. Calculus. Programming Languages.
Is that possible to do machine learning course after b.com,mbaFinance and marketing?
Yes, you can. But as we know very well machine learning needs some programming fundamentals as well. So you have to go through a little touch up of programming and algorithms.
Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com
Ask a QuestionRelated Lessons
Tuning Parameters Of Decision Tree Models
Implementations of the decision tree algorithm usually provide a collection of parameters for tuning how the tree is built. The defaults in Rattle often provide a basically good tree. They are certainly...
Linear Regression Without Any Libraries
I am here to help you understand and implement Linear Regression from scratch without any libraries. Here, I will implement this code in Python, but you can implement the algorithm in any other...
S
Naive Bayes Classifiers
Hello everyone, I thought to post an article on Machine learning. There are supervised classifiers which are used to classify test data in some class. For example, seeing an image if you want to predict...
Decision Tree or Linear Model For Solving A Business Problem
When do we use linear models and when do we use tree based classification models? This is common question often been asked in data science job interview. Here are some points to remember: We can use any...
Linear Regression and its types
Linear Regression A Linear regression is a Regression Analysis technique which is used for modeling the predictions on the continuous data. A Linear Regression can be modelled using 1. A Simple Regression...
Find Machine Learning near you
Looking for Machine Learning ?
Learn from the Best Tutors on UrbanPro
Are you a Tutor or Training Institute?
Join UrbanPro Today to find students near you
