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Explain Types of machine learning problems and Termilnologies if Machine Learning

Machine learning!!! So remember there are multiple ways to execute machine learning problems. Here Let's we discuss about few of those........... Supervised learning : The computer is presented with example inputs and their desired outputs, given by a “mentor”, and the goal is to learn a general rule that maps inputs to outputs. The training process continues until the model achieves the desired level of accuracy on the training data. few of the examples are: Image Classification:   You train with images/labels. Then in the future you give a new image expecting that the computer will recognize the new object. Market Prediction/Regression:   You train the computer with historical market data and ask the computer to predict the new price in the future. Unsupervised learning : No labels are given to the learning algorithm, leaving it on its own to find structure in its input. It is used for clustering population in different groups. Unsupervised learning can be a goal in itself...

Basic Commands for CentOS 7

Basic Configuration Query or System Locale localectl Display the Current Time and Date date timedatectl Sync Date and Time timedatectl Configure SSH /etc/ssh/ssh_config /etc/ssh/sshd_config Jobs And Services List all Services systemctl -at service ls /etc/systemd/system/*.service ls /usr/lib/systemd/system/*.service List Services that are Running systemctl -t service –state=active Start and Stop services. Replace <service> with the name of the service systemctl start <service> systemctl stop <service> Enable and Disable Services. Replace <service> with the name of the service systemctl enable <service> systemctl disable <service> Check Service Status. Replace <service> with the service name systemctl status <service>             <service> with the service name systemctl is-enabled <service> Configure Logs /etc/rsyslog.conf /etc/rsyslog.d/*.conf View Logs /var/log journalctl Find Files find Cr...