How to Start Studying Artificial Intelligence?
Artificial Intelligence (AI) is the study of computer science focusing on developing software or machines that exhibit human intelligence. This article is about How to start learning Artificial Intelligence in Six Easy Steps which will give you a comprehensive guide that you can use as a starting point towards learning artificial intelligence.
AI is used to solve real-world problems including search, games, machine learning, logic, understanding natural language, computer vision, expert systems, heuristic classification, constraint satisfaction problems etc.
Types of AI
We can divide AI into 3 different categories based on its capabilities:
1.) Strong AI (A Machine with consciousness, sentience, and mind)
The idea behind Strong AI is that the machines could represent human minds in the future. If that is the case, those machines will have the ability to reason, think and do all functions that a human is capable of doing. Nanobots, which can help us fight diseases and also make us more intelligent, are being designed.
The development of an artificial neural network, which can function as a proper human being, is being looked at as a future application of Strong AI.
2.) Weak AI or “narrow” AI
The idea behind Weak AI is the fact that machines can be made to act as if they are intelligent. For example, when a human player plays any game against a computer, the human player may feel as if the computer is actually making impressive moves. But the game application is not thinking and planning at all.
All the moves it makes are previously fed into the computer by a human and that is how it is ensured that the software will make the right moves at the right times.
3.) Artificial SuperIntelligence (ASI)
Artificial SuperIntelligence is a term referring to the time when the capability of computers will surpass humans. “Artificial intelligence,” which has been much used since the 1970s, refers to the ability of computers to mimic human thought.
Artificial SuperIntelligence goes a step beyond and posits a world in which a computer’s cognitive ability is superior to a human’s.
Where you start depends on what you already know.
Below you’ll find a list of resources to Learn and Practice and how to get started in Artificial Intelligence in 6 Easy steps:
6 Easy Steps To Get Started Learning Artificial Intelligence
STEP 1.) Learn Python & SQL
The primary thing that you have to do is take in a programming language.
In spite of the fact that there is a considerable measure of languages that you can begin with, Python is what many prefer to start with because its libraries are much better suited to Machine Learning.
I would recommend first 25 Best Python Tutorial, Class, Certification & Course Online
- Machine Learning with Text in scikit-learn (PyCon 2016)
- Machine learning in Python with scikit-learn
- Machine learning with Python
- Machine Learning Part 1 | SciPy 2016 Tutorial
- Machine Learning Part 2 | SciPy 2016 Tutorial
STEP 2.) Learn Machine Learning Courses
You MUST not miss Latest Machine Learning Online Courses available below:
STEP 3.) Learn Basics of Probability Theory, Statistics, and Maths
I would recommend here Python as a language and would recommend this course Best Python Tutorial, Class, Certification & Course Online.
STEP 4.) RECOMMENDED AI BOOKS to READ
I have listed some of Top and Best free machine learning AI ebooks from where you can download and kick- start Machine Learning Basics/Statistics for developers to become good at building AI systems quickly.
Also, I have listed Top 20 Amazon Books for Artificial Intelligence & Machine Learning
Additionally, you can see 50+ free books to get started with Artificial Intelligence
STEP 5: PRACTICE FEW EXERCISES
When you have an exhaustive comprehension of your favored programming language and enough practice with the essentials, you should begin to take in more about Machine Learning.
In Python, begin learning Scikit-learn, NLTK, SciPy, PyBrain, and Numpy libraries which will be valuable while composing Machine Learning algorithms.
Practice few exercises on Scikit from the website:
http://www.edx.org/course/artificial-intelligence-uc-berkeleyx-cs188-1x – For practicing exercises in Python.
Also, here is a list of resources for you to learn and hone ML:
- Coursera Machine Learning
- CMU Lectures
- Python Bot that can Play Web Games
- Intro AI From Udacity
- MIT Course – AI Fall
STEP 6: Practice—Learn—Practice on your own, step by step you will slowly become AI programmer.
I have listed free open source AI tools Or Software’s which you can use to build your solutions.
Also, you can attend AI conferences and watch Videos on AI and see few Top 50 Best Artificial Intelligence Projects on Github.
To inspire yourself in AI you can see 50 Must-See Ted Talks on Artificial Intelligence (AI)
Once all these 6 steps are done then you can have a glance at these Top & Best 99 interview questions on AI and Machine Learning and you can start giving interviews if you want to start a career in AI/ML.
PS: Want to know in-depth AI and ML latest resources around the web you MUST see this index page here.
FUTURE of AI
Many people argue that it solves many problems other’s like Elon Musk, Bill Gates says it is risky and very dangerous.
AI is not just about Robotics the business traverses over an abundance of different enterprises, including business, auto, retail, pharmaceutical, and various others.
Just watch the below video where AI is currently going.
Well, if you want to be a part of future just go ahead with these simple steps you would not regret later.
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“Software is eating the world, but AI is going to eat software.” – Jensen Huang – Nvidia CEO