Answer:
From DRAM to DDR4
Explanation:
RAM stands for <em>Random Access Memory.</em> In 1968, Mr. Robert Dennard at IBM's Watson Research obtained the patent for the one-transistor cell that will eventually substitute the old magnetic core memory allocated in computers of the time. By 1969 Intel released the TTL bipolar 64-bit SRAM (Static Random-Access Memory) as well as the ROM "Read Only Memory"; also in 1969 it evolved into "<em>Phase - change memory - PRAM - </em>". However this evolution was not commercialized, Samsung expressed its interest in developing it. In 1970 the first DRAM product was commercially available; it was developed by Intel. In 1971 it was patented EPROM; in 1978 George Perlegos developed EEPROM.
By 1983 a nice breakthrough happened with the invention of SIMM by Wang Labs. In 1993 Samsung came up with KM48SL2000 synchronous DRAM (SDRAM), this variation soon turned into an inductry standard.
In 1996 DDR began a revolution in the memory sector, then in 1999 RDRAM. Both DDR2 SDRAM. DDRR3 and XDR DRAM were commercialized. Finally in 2007 and 2014 the developments of DDR3 and DDR4 were available for the general public.
Answer:
Kindly check Explanation.
Explanation:
Machine Learning refers to a concept of teaching or empowering systems with the ability to learn without explicit programming.
Supervised machine learning refers to a Machine learning concept whereby the system is provided with both features and label or target data to learn from. The target or label refers to the actual prediction which is provided alongside the learning features. This means that the output, target or label of the features used in training is provided to the system. this is where the word supervised comes in, the target or label provided during training or teaching the system ensures that the system can evaluate the correctness of what is she's being taught. The actual prediction provided ensures that the predictions made by the system can be monitored and accuracy evaluated.
Hence the main difference between supervised and unsupervised machine learning is the fact that one is provided with label or target data( supervised learning) and unsupervised learning isn't provided with target data, hence, it finds pattern in the data on it's own.
A to B mapping or input to output refers to the feature to target mapping.
Where A or input represents the feature parameters and B or output means the target or label parameter.
Answer:
Payment Card Industry Data Standard(PCI DSS).
Explanation:
The online payment acceptance through credit cards is governed by the Payment Card Industry Data Standard (PCI DSS) and it also includes the provisions that shoulde be implemented by gwen's company before accepting any transaction through credit cards.
technology has been very important in my life because, it helps me with my daily struggles, helps with stress (social media), makes everything easier, also creates a more efficient way of learning and much more.
although this should be answered with your own thoughts and opinions, I provided mine if in any case that it helps
