What Should I learn first Machine Learning, AI or Data Science?

In this post you will understand which course you should learn first, how to learn these course and what is average salary of these courses.Machine Learning is a specific set of techniques that enable machines to learn from data, and then make predictions. What you must be concern right now is to first understand the point in time when machines reach a higher level of intelligence than humans and will in turn take over the world -

However, before getting into Deep Learning and AI, you better learn Machine learning first.

You can think of Deep learning, Machine Learning and Artificial Intelligence associated within each other. If you look at it, Deep learning is a subset of Machine Learning and Machine Learning is a subset of AI, you can call it an umbrella term because it is a computer program that does something smart.

Machine Learning is basically a current application of AI based around the idea that we should be able to give machines access to data and let them learn for themselves. In addition to this, another field of AI – Natural Language Processing (NLP) – has become a source of hugely exciting innovation in recent years which heavily relies on ML.

Deep Learning is a subset of Machine Learning, mostly when people use the term deep learning they are referring to deep artificial neural networks. Deep artificial neural networks are sets of algorithms that sets new records in accuracy for many important problems i.e. image recognition, sound recognition, recommender systems, etc.

Artificial Intelligence is defined as the engineering and the science that is required to build intelligent machines.

All these are basically the branches of data science and how it is compared with fields mentioned above, e.g. machine learning, deep learning, AI, statistics, IoT, operations research, and applied mathematics.

So, if you’re looking to get into machine learning/AI or Deep Learning, my best suggestion for you is to first learn data science, then maybe you could get into depth with machine learning and deep learning.

So how can I start with data science?

The first step to learning data science is by asking yourself, “how do I actually learn data science?”

In order to learn data science you must know these:

Do you love data or numbers? - You must love numbers if you plan on taking data science. Without motivation you might end up halfway there believing you can’t do it.

You can learn data science by doing it - 90% of the work will be data cleaning. Having a grasp of few algorithms is better than not knowing anything at all.

You should know how to code using R and Python.

Where can you learn data science?

These are some helpful resources:

Dataquest - you can learn data science in your browser, work on projects and build a portfolio.

Elements of statistical learning - good machine learning books.

Udemy - online courses but only certification.

Khan Academy - good statistics and algebra content.

Udacity - upgraded online courses but just nano degree and certificates and no job assurance.

edWisor - online career path, good learning skills, job assurance - job oriented platform.

Resources on their own aren't useful you need to find a context for them - research on all the above resources and choose the best option.