Data science is a large field and includes many different types of data processing. The most common types of data processing are: Data mining, Data modeling, Machine learning, Data visualization.
Data science is not just a buzzword. It’s a new way of solving problems, from predicting the best time to buy an airplane ticket to determining the risk of a heart attack.
Some topics you can read about here: Scatter plots, correlation, t-test, linear regression, logistic regression
Data science is an integrated field that involves the extraction of knowledge and insights from both organized and unstructured data using scientific methods, procedures, algorithms, and systems. In order to empower organizations to make data-driven choices and tackle complicated challenges, it integrates components of statistics, mathematics, computer science, and domain-specific Read more…
Python is a standardized high-level programming language in the field of development. Its clean code is easily understandable to developers, making it easy to compile, execute, and run programs. Many new developers are fond of and enthusiastic about pursuing their careers in Python, making it a great choice for building Read more…
Imagine you’re a hotel owner. You’ve got this amazing property, the staff is top-notch, and your guests love the ambiance. But, you can’t help but feel that something is missing. You know there’s potential for more revenue, but you just can’t seem to find the key to unlock it. Well, Read more…
Gone Are the days of gut feelings, when decision-making in businesses and beyond relied mainly on the intuition of upper management. These days instinct has given way to evidence, concrete facts take precedence over conjecture and speculation has been replaced by calculation. This is the age of data and data-driven Read more…
🏀🏈🎾 The use of artificial intelligence (AI) in sports has increased significantly in recent years, and it’s changing the way we think about and approach athletics. Here are some reasons why: 📈 Performance analysis: AI-powered tools can analyze massive amounts of data to provide athletes and coaches with insights that can help Read more…
The stock market can be a complex and unpredictable environment. The trends are constantly changing, which can heavily influence the performance of your investment portfolio. However, data analysis has become an essential tool for investors looking to identify potential risks and opportunities in the market and manage portfolio risk. With Read more…
What is deep learning? Deep learning has been an incredibly impactful subset of machine learning. One thing that sets deep learning apart from other methods is its ability to handle complex, unstructured data such as images, audio, and natural language. Machine learning engineers who specialize in deep learning are constantly training models Read more…
To become a successful data scientist, you need to possess a range of technical and non-technical skills. In this edition i’ll be covering this topic. Additionally, further down you can also find a podcast and report on ChatGPT as well as an article on how AI can help decrease diversity Read more…
Data science has been a buzzword in the business world for some time now, and with good reason. Data science is a valuable method for businesses looking to gain insights into their customer base, market trends, and other predictive analytics. It can also drive operational efficiencies and cost savings – Read more…
When we talk about populating data growth, it is not just because of mobile devices. Cloud computing and other emerging technologies are also contributing to the growth and volume of the data such as artificial intelligence, machine learning, IoT, edge computing, and monitoring of distributed systems of modern application architectures. Read more…
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