What is the best way to learn Artificial Intelligence for a beginner?

Calculus is a branch of mathematics that deals with Differentiation and Integration.

Vectors, statistics and Probability, graph theory.

3. Coding language: Once you have mastered your arithmetic skills, you can begin practising coding by picking a coding language. Java or Python can be studied. Python is the easiest of the three to learn and practice coding with because it has various packages such as Numpy and Panda.

4. Working on Datasets: Once you have mastered any coding language, you can move on to working with backend components such as databases. For example, you may now use SQL connector or other import modules to connect python or frontend IDE.

5. Lastly, I would suggest that you brush up your skills once you're equipped with all the practice work. You should enrol or join in for some courses to speed up the process. There are various online courses to learn from, but I have listed a few good ones which you can undertake for betterment.

There are some amazing institutes from different sites which I surely want to recommend here:

1. Learnbay: Learnbay offers a number of AI courses at the foundational, intermediate and advanced levels and at the senior management level. If you own more than a year of work experience, no other platform can be the best like Learnbay.

• Variable courses that meet your ultimate needs-

Depending on your profile, you can select from a variety of options. They provide different courses for techies, non-techies, early pros, intermediate, and even leadership level pros. Their courses are associated with elective modules as per candidates domain expertise. Aspirants can choose elective modules and capstone data science projects expertise as per their choice. Available options include people administration, promotion and salesforce assessment, production and telecom, insurance and finance, leisure and travel, transportation, energy, oil and gas, etc.

• Additional project expertise and domain-elective study scopes for techies- The advanced AI and ML course imparted by Learnbay has three additional electives apart from the one mentioned earlier. These are from the core engineering field- Advanced data structure and algorithm, system designing, Embedded engineering, etc.

• You learn from scratch but up to the advanced level-

The submodules are so well-planned and well-designed that given a bigger find it is easy to learn, although the course covers the most trending and advanced level of industry-specific AI application.

• Stacks of the practical assignments with on-time expert feedback-

Starting from the initial programming classes to the advanced ML modelling sessions, you will receive plenty of coding assignments. Experts will provide you with timely feedback on all the submitted assignments so that you can rectify all of your mistakes prior to stepping into the next sessions.

• 1 to 1 learning support-

Even though you are a beginner, due to extremely personalised teaching, you won't feel the subject hard. You will get proper assistance at every single step of your learning. Apart from that, you get ample flexibility to join the live classes at any time, from any batch.

• Guidance on Hackthorne-

Learbay offers guidance to attend and qualify Hackathons. This helps you to hone your coding skills.

• Lifetime access to learning materials-

The recorded copy of attended live classes, all the premium learning materials, remain free to access for the rest of your life. This helps in enriching your continued learning.

They also believe that learning should be done through real-world based projects. As a result, you will gain experience with how AI works in 15+ real-time projects.

2. Edureka: Edureka is already a well-known brand that has been on the market for quite some time. They also feature several AI-specific mini-series to learn from. In addition, you will get lifetime access to their courses once you purchase them.

3. Simplilearn: Simplilearn offers relationships with IBM, AWS, Facebook Blueprint, and Microsoft, as well as some fantastic courses to choose from. They place a strong emphasis on structured study and practice with real-world challenges.

4. Coursera: On the internet, it is ranked in the top five. More than 3 lakh students have taken Stanford University ML courses, which has received a 4.9 out of 5. It Covers machine learning like Supervised and unsupervised learning, logistic regression and artificial neural networks, ML algo. These are among the topics covered and are best practises in AI and ML

Finally, I would like to recommend Learnbay for working pros and Edureka for freshers. Coursera is suggested exclusively for those who want to learn just for knowing more, not with a career up-gradation target.