Overload
In Data Science, overload refers to the situation where a system or a model is given more input or data than it can handle, resulting in a degradation of performance or accuracy. Overload can occur in various stages of the data science pipeline, such as data collection, data preprocessing, feature engineering, model training, and model deployment. Overload can be caused by various factors, such as limited computational resources, insufficient memory, slow I/O operations, network latency, or poor algorithm design. Overload can lead to various problems, such as increased processing time, decreased throughput, increased error rates, decreased model accuracy, or even system crashes. To avoid overload, data scientists need to carefully design their systems and models, optimize their algorithms, use efficient data structures and libraries, monitor their system performance, and scale their systems as needed.
Your Previous Searches
Random Picks
- Healthcare: Healthcare in Data Science refers to the use of technology and data analysis to improve the quality of healthcare services. It involves the collection, storage, analysis, and interpretation of healthcare data to identify patterns, trends, a ... Read More >>
- Advanced Encryption Standard: Advanced Encryption Standard (AES) is a symmetric encryption algorithm used to protect sensitive data. It is a block cipher that encrypts data in fixed-size blocks of 128 bits using a key of 128, 192, or 256 bits. AES is widely used in vari ... Read More >>
- Hash Functions: In Data Science and Artificial Intelligence, a hash function is a mathematical function that takes in an input (or 'key') and returns a fixed-size string of characters, which is typically a unique representation of the input. The output of ... Read More >>
Top News
Tech giants see emissions surge 150 percent in 3 years amid AI boom: UN...
Artificial intelligence, cloud computing and data centres led to a spike in electricity demand between 2020 and 2023....
News Source: Al Jazeera English on 2025-06-06
‘Ghost networks' are harming patients, but attempts to eliminate them have fal...
Insurance companies often refer patients to lists of providers who are unreachable, out of network or don’t accept new patients....
News Source: NBC News on 2025-06-05
Palantir CEO Karp says AI is dangerous and 'either we win or China will win'...
Palantir CEO Alex Karp said the artificial intelligence arms race between the U.S. and China will culminate in one country coming out on top....
News Source: NBC News on 2025-06-05
Palantir has soared 74% this year alone. 3 reasons why it's been one of the worl...
Palantir was the second-most bought stock among retail traders in the last five days, according to a firm that tracks flows from individual investors....
News Source: Business Insider on 2025-06-05
Harris-Walz campaign may have been targeted by iPhone hackers, cybersecurity fir...
One of the few companies to specialize in iPhone cybersecurity said that it has uncovered evidence of a potentially groundbreaking hacking campaign....
News Source: NBC News on 2025-06-05