Introduction

In the age of industry 4.0, significant advances have been made in the fields of artificial intelligence and machine learning. The influx of voluminous amounts of data has sparked off changes in the latest technologies and credit goes to artificial intelligence and machine learning for accentuating these processes. Without any doubt, technological systems have affected the development and progress of automated systems.

Starting from scratch 

It is important to understand the prerequisites of machine learning and artificial intelligence before understanding the larger role of these technologies in information technology systems. For any machine learning system to be modeled properly, it requires excellent programming skills. The knowledge of any programming language like C, Python, or R is highly desirable. However, Python is the most preferred language when it comes to machine learning. A person who is not highly skilled in programming languages can still proceed with machine learning by getting acquainted with certain basics. The basics of any programming language include knowledge about loops, functions, statements, and data structures.

Statistical point of view

From a statistical point of view, the knowledge of basic mathematical concepts is necessary for adequately handling AI models and mastering machine learning. The knowledge of vector operation is extremely crucial in this regard. The application of mathematical functions and linear algebra also proves handy for machine learning algorithms. For instance, the knowledge of exponential functions is crucial when dealing with machine learning algorithms like logistic regression.

In addition to the requirements mentioned above, it is important to have knowledge of descriptive statistics. This is highly helpful when the mean of observations, the median, and the standard deviation that may arise need to be calculated. If the beginners have a basic idea of inferential statistics, it really helps them in furthering their research prospects. The knowledge of visualization techniques like histograms, heatmaps, polar graphs, and line charts is required from an experimental point of view.

Modeling in AI and ML

The development of models with the help of machine learning techniques is extremely important at the advanced stage. When the basics of machine learning have been understood and all the prerequisites of statistics and mathematics have been fulfilled, the next stage is the development and deployment of models. As already discussed, it is important to have knowledge of vector and matrix operation as they help in the implementation of required machine learning algorithms. Even after the appropriate machine learning models have been applied, it is extremely necessary to optimize them. This is where the real skills of data scientists are tested.

Doing more with online tools

One of the best ways for harnessing your data science skill is by using online platforms. There is no dearth of online ebooks which provide step by step overview of the data science lifecycle. There are also some open resources available that help in data mining, collection, cleansing, and analytics processes. These are extremely important for deriving insights from very large data sets. The advantage of using online resources is not only the clarity of concepts that they provide but also the cost-effectiveness associated with such modules. One of the best learning platforms when it comes to data science, artificial intelligence, and machine learning is Analytixlabs. This platform host a large number of online resources, blogs, projects, and other tools which help in advanced understanding of various concepts. The platform has a customized module that can be accessed free of cost. Although some of the courses that they provide are paid, investment in such courses reaps lucrative benefits in the long run. The biggest advantage of these courses is that they are fully remote in nature and can be accessed from various types of workstations with simple internet connectivity. One of the most important benefits is that these courses are highly aligned to various kinds of jobs that are emerging in the field of data science and artificial intelligence. In one word, the platform provided by Analytixlabs acts as a training ground for preparing students for various industrial and business challenges.

Concluding remarks 

In one word, it is highly recommended to get familiar with machine learning, artificial intelligence, and applied AI given the rapid pace at which the industrial outlook is changing.