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Machine Learning Tools and Technologies
Machine learning, a subset of artificial intelligence (AI), empowers systems to learn and improve from experience without explicit programming. Its...
Recent Article
How To Tune The Hyperparameters
Usually, knowing what values you should use for the hyperparameters of a specific algorithm on a given dataset is challenging. That’s why you need to explore various strategies to tune hyperparameter values. With hyperparameter tuning, you can determine the right mix of hyperparameters that would maximize the performance of your model.
How To Makes Use Of Domain Knowledge In Data Science: Examples From Finance And Health Care
The domains of finance and health care don’t have much in common except for one thing - the involvement of data scientists and machine learning experts, who are changing the way both these domains work. From helping them collect, organize, and process a massive volume of data and making sense of it to letting them make efficient and faster data-driven decisions, a lot is happening to disrupt both these domains. Let’s consider some examples from both the finance and healthcare sectors to understand how the application of data science is helping them.
A Brief History Of AI
It’s normal today to talk about the massive computing power of supercomputers, the domain of data science that facilitates data availability and analysis, among others, and AI that can mimic mental actions similar to humans. But the road to the modern world’s AI, big data, and deep learning has been a long one. Let’s take a tour down the historical avenues to find how AI evolved into what it is today.
The Basics Of Cybersecurity For Non-experts
Cybersecurity is a critical aspect of our digital lives. It refers to the protection of personal and sensitive information from unauthorized access, use, disclosure, disruption, modification, or destruction. With the increasing use of technology in our daily lives, it’s important for everyone to understand the basics of cybersecurity. Here are some essential concepts that every non-expert should be aware of.
How Many And Which Programs Should I Learn For Being A Skilled Data Scientist?
To become a data scientist, you should have knowledge of a variety of programming languages, which include Python, R, Java, SQL, JavaScript, C/C++, and Scala, to name a few. But why do you need to learn these programming languages? Let’s find out the answers by taking a look at the top programs you should learn to make your career path in data science a smooth-sailing one
Navigating An Economic Downturn: How To Plan A Career Switch To Data Science
Recently, there has been a massive layoff spree by top companies such as Google, Microsoft, and Meta. As difficult as it gets for those who are going through the layoffs, it is a challenge for those who are planning to switch careers. If you are one of those who is planning to switch to a career in data science, it is important to be strategic during these times.