Answer:
The SeaGate FireCuda is the best hybrid hard drive.
Explanation:
The SeaGate FireCuda is the best hybrid hard drive on the market. It can fit up to 2TB of data, and then its 8GB of solid state cache storage learns which data you use most, so that you can access it quickly. That speed boost is even sweeter when you consider that this drive spins at 7,200rpm.
Probably a phishing scam
asks for personal information claiming to be a person from a legitimate bank
Answer:
1. The Sun is the primary source of energy that influences any planet's temperature, including Earth. The amount of energy received from the Sun is called insolation; the ratio reflected is called the albedo.
2.There are three major ways in which global warming will make changes to regional climate: melting or forming ice, changing the hydrological cycle (of evaporation and precipitation) and changing currents in the oceans and air flows in the atmosphere
3.The warming of Earth is primarily due to accumulation of heat-trapping greenhouse gases, and more than 90 percent of this trapped heat is absorbed by the oceans. As this heat is absorbed, ocean temperatures rise and water expands. This thermal expansion contributes to an increase in global sea level.
4.The main sources of greenhouse gases due to human activity are: burning fossil fuels leading to higher carbon dioxide concentrations. farming and forestry — including land use change via agriculture and livestock. cement manufacture.
5. - Reduce, Reuse, Recycle
- Use Less Heat and Air Conditioning
-Use Less Hot Water
Explanation:
Answer:
Training data is used to fine-tune the algorithm’s parameters and evaluate how good the model is
Explanation:
The statement about datasets used in Machine Learning that is NOT true is "Training data is used to fine-tune algorithm’s parameters and evaluate how good the model is."
This is based on the fact that a Training dataset is a process in which a dataset model is trained for corresponding it essentially to fit the parameters.
Also, Testing the dataset is a process of examining the performance of the dataset. This refers to hidden data for which predictions are determined.
And Validation of dataset is a process in which results are verified to perfect the algorithm's details or parameters
