Jahlics Technology

Predicting Divorce and Detecting Infidelity Using AI

My experience in AI has been nothing short of amazing. Through research, I have explored uncharted territories in human relationships by analyzing historical datasets to predict the likelihood of divorce with a particular partner compared to another. I have supervised two bachelor-level students who each focused on different aspects of this subject. One of them even used a local dataset of divorce cases in Nigeria (Lokoja in particular), which yielded some interesting results. So with this work, you input different features of your partner before wedlock and the system would tell you if you would get divorced in 1, 5 or 10 years or live happily ever after.

Another project I worked on involved using probabilistic algorithms to detect infidelity in marriages. I was able to develop a model that could determine whether a person was cheating on their spouse. While I didn't directly supervise the last students who worked on this, they utilized local infidelity cases in Nigeria to develop their systems. One of the students, a female, concentrated on infidelity detection in women, while the other, a male, focused on detecting cheating in men. These projects were no easy feat, to be honest. With the app in operation, a cheating partner would be caught in the act or nearly in it.

Now, I'm contemplating how to develop a model that can detect whether a mature man is overly dependent on his mother even while married. If I can create such a model, it would be beneficial for women to know whether to accept a proposal from such a man to avoid any unpleasant surprises later on.

This Hakim matter 💯

At Jahlics Research Lab, we shall be looking at this very thought in the Batch 9 of our Data Analytics Training. If you are a lady and you are interested in tech, you need to register to join us - detecting mommy's boys is now crucial. Details on the comment section.

Photo: The Hakim humanoid and her mother sitting outside the divorce court 😎😂

Join us!

By registering for our Data Analytics training, you're making an investment in your future. Whether you're looking to gain digital skills or upskill your career, our program will provide you with the skills you need in the Data Analytics field.

Jahlics Technology run her training in batches and after the successful completion of the 8th batch, the 9th batch rolls in. Our participants are able to comprehend, understand and practice what they are being taught because of our interesting yet Educative curriculum. We don't just teach the theoretical aspects of Machine learning but give real life instances that allow you to apply your skills to real-world data sets.This technique has proven to be quite effective and produced effective results.

Our program also provides opportunities to network with other data analysts and professionals in the industry. You'll have the chance to connect with like-minded individuals, share ideas and insights.

In addition, Jahlics tutors are passionate about sharing their knowledge and helping you succeed. They provide support during lab sessions so that every trainees can be on the right track, interesting right..

The curriculum covers a wide range of topics, from data collection and analysis to visualization and deployment. You'll learn how to use Python to manipulate and analyze data, as well as how to create visualizations to describe your findings effectively.

This training is a wonderful and great learning experience you do not want to miss.

You can register with this link immediately www.bit.ly/MLdataclass or call 09030797424 for more details

Teaching Data Science Effectively

Teaching data science effectively can be a challenging task, as it involves a wide range of subjects and skills, including programming, statistics, and domain-specific knowledge.

Here are a few tips that we use to teach data science courses effectively:
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1. We start with the basics: We make sure that our students have a solid foundation in the foundational concepts and techniques of data science, such as programming, statistics, and data manipulation.
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2. We emphasize practical skills: While theoretical knowledge is important, data science is ultimately about solving real-world problems. We make sure to include plenty of hands-on exercises and projects in our course to allow students to apply what they have learned.
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3. We use real-world data and examples: Using real-world data and examples can help students better understand the concepts and techniques they are learning, as they can see how they are applied in the real world.
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4. We encourage collaboration and discussion: Data science is a field that relies heavily on collaboration and communication. We encourage students to work in groups and discuss their work with each other to foster a sense of community and facilitate learning.
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5. We make use of online resources: There are many online resources, such as videos, tutorials, and forums, that can be useful for teaching data science. We make use of these resources to supplement our course material and provide additional support for our students.
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The students we have used these techniques to train are doing very well today both in academia and in the industry.

Our Batch 8 is starting on 25th January 2023. Join us. Call 09030797424.

Learn AI skills in 2023

There are many ways to learn AI skills in 2023. Here are a few suggestions:

Online courses: There are many online courses and MOOCs (massive open online courses) available that cover various aspects of AI. Some popular platforms for finding AI courses include Coursera, edX, and Udacity. Many of these courses are offered by top universities and companies and are taught by industry experts.

Bootcamps: There are also many boot camps and intensive training programs available that focus on AI. These programs typically last a few weeks or months and provide a more immersive learning experience than online courses.

Self-study: If you prefer to learn on your own, there are many resources available online that can help you get started with AI. Some popular options include books, tutorials, and online communities where you can ask questions and get support from others.

Regardless of which approach you to choose, it's important to have a strong foundation in mathematics and computer science, as these are crucial for understanding and working with AI. You should also try to get hands-on experience by working on projects and experimenting with AI tools and technologies.

Learn more with us; call 09030797424 to begin the journey.

Volunteering placement and paid internships are now available at Jahlics.

We create the models and deploy them for you. We develop the robots and let you control them. Artificial Intelligence is our thing.

Live in Lokoja.