In today's day and age, with the democratization of knowledge, it has become very easy to learn deeply about any subject. It also includes the discipline of Data Science as a whole. When people start in the field of data science, the most common question is - How to make a career in AI and Machine Learning? The answer is not that straightforward, especially when it complements other questions such as how can one learn AI and machine learning courses for free from home?
Myths about machine learning and artificial intelligence
To answer these questions, it is important to first address some other common questions that create widespread misconceptions about data science and its related fields such as machine learning and artificial intelligence.
Q1: What are the prerequisites to start learning Machine Learning?
Answer: No prerequisites or pre-set skills are required to learn machine learning.
At the end of the day, these fields are related to data science and data science as a discipline that is an amalgamation of statistics, maths, programming and reporting skills along with having good business skills. Anyone starting in this filed is not expected to know it all and learn the rest of the aspects. So everyone starts from scratch at some aspect of data science.
Q2: What is the basic before machine learning?
Answer: The basics before machine learning is the knowledge of datasets including data exploration and manipulation in any software like Excel or SQL. However, even if one doesn't have a clue of all this, machine learning can be understood by understanding how to deal with data using any common language for data science like R or Python, which is used for machine learning. Algorithms are also used to run.
Q3: Is machine learning only for computer science students?
Answer: Knowing computer science can help to some extent but again, machine learning is a subset of data science where other skills like statistics, maths are also required. So it is not limited to those who belong to the field of Data Science.
Question 4. Do I need to know data science to learn AI?
Answer: Models based on Artificial Intelligence require data to be trained and work properly. Thus Artificial Intelligence can also be understood as a part of Data Science discipline. So, yes, the path to AI goes through Data Science.
Question 5. Do AI and Machine Learning involve a lot of coding?
Answer: AI and Machine Learning require coding but "a lot" can be said as an exaggeration. Many consist of overly complex machine learning models such as 2-3 lines of code. Again, the amount of coding depends on the level at which the model is being built. If a model is being built from scratch then the number of codes is very high, however, if the package is being used then the amount of code is very small.
Question 6. Can I learn AI? Or machine learning without programming? Or how to start learning AI without any computer background?
Answer: These fields are not particularly programming oriented fields, yes, people with no background in programming can also use it. Individuals with a computer science background may benefit to some extent but this is not the only requirement.
Question 7. What are the skills required to learn Machine Learning and AI?
Answer: As mentioned earlier, several skills are required which include knowledge of data (data manipulation and exploration), programming and coding, statistics and mathematics and reporting.
By answering the above questions we can now understand how to make a career on our own in the field of Data Science i.e. Machine Learning and Artificial Intelligence. The fact is that data science as a discipline of academic study is fairly new and there are still not many educational institutions that offer formal degrees in the fields and as the field continues to grow, the fact is that people have "My Self-Created Artificial Intelligence". Masters degree in his wardrobe" is not completely untrue. However, the question is, what is the best way to learn Applied AI, Deep Learning and Machine Learning? Or Machine Learning, Self-Starter How They Learn? The answer is not straightforward. To learn all this, one has to go through various online-e books, websites and blogs, online courses, class schedules, training institutes, job training etc. However, this answer leads to another question that needs to be addressed.
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