How to Perform Data Analysis with JADBio

JADBio is an automated machine learning model that is capable of performing automated data analysis on a large scale.

Want to know more about JADBio? Here is a detailed introduction of its features, some use cases, and more.

What is JADBio?

Automated Machine Learning

Automated Machine Learning (AutoML) is essentially machines, such as computers, emulating the process of human learning by analyzing an immense number of raw data sets to output solutions to real-world problems. Such a process is related to algorithms, which can be simply understood as a series of rigid computations with conditionals. It extrapolates the original data and eventually forms a sense of "memory". On popular media platforms such as YouTube and TikTok, the videos you decide to watch initially will form a data set among all other data sets from users around the world. The algorithm will process this data and recommend videos that you are likely interested in.

Artificial Intelligence is a product of these technological advancements. With cloud computing also involved, a product like JADBio becomes available for every user who is interested in mass data analysis. As JADBio stated on their website, "the high degree of automation in AutoML allows non-experts to make use of machine learning models and techniques", as this tool can even surpass some of the best manual expert analysis performance with its meta-level data learning.

Machine Learning vs. Automated Machine Learning

Machine Learning requires data scientists to locate adequate data to train the models. Afterward, hyperparameters, which are external configuration variables that data scientists use to manage machine learning, have to be manually tuned to compress the data model. This process can take up to several weeks to fully optimize the right model.

With AutoML, this process can be fully automated from start to finish, which not only drastically improves the productivity of expert data analysts but also allows non-experts to start performing machine learning. It gives access to advanced data analytics techniques like data mining, pattern recognition, and statistical modeling.

Applications of JADBio

One of the main features of JADBio is its user-friendly machine learning, which requires no coding experience. All you need to do is start a project and set up the machine-learning problems that you desire.

Binary / Multi-class classification problem

Statistical classification problems can be simplified into the question, "What is it"? The output for classification problems will be the category. In the case of binary, there will just be two categories, so it will be similar to a true/false question or identifying male/female. There can also be more than two categories, such as the color or size of an object. JADBio is capable of processing target variables in all formats, either string or numeric.

Regression problem

A regression problem is a statistical analytic method that presents the relationship between two or more variables, often in the form of graphs or point plots. It is often used as predictive analytics, finding trends in data and forming a projection model. Some use cases include predicting the revenue of a business or estimating the dosage of a specific drug. JADBio can process a target variable as either an integer or a float.

Survival problem

A survival problem is an analysis of the expected duration of time until one event occurs. It can be used to analyze the reliability of a bridge and its duration, the chances of death with organ failure, event history analysis, and more. This is a more complex problem in terms of data analytics, as JADBio will expect two separate variables for both outcome and target.

Pricing

JADBio offers a free basic version with limited functionality and a 14-day trial of the Team plan. The starting price for a Team plan is $6597 per month, which goes down to $2199 if billed annually. There are more advanced options for larger team sizes.