Machine Learning is the branch of computer science that deals with training the machine to solve real-world problems. , Artificial Intelligence is implemented in repetitive tasks and a highly predictable job. Machine Learning Course has been very important these days to acquire the skills required to cope up with the corporate. More than the certification more important is the kind of skills you acquire during this process.
For Machine Learning one has to start with the basics of Python Programming, Python algorithms, supervised and unsupervised learning, probability, statistics, decision tree, random forest, and linear and logistic regression. The applications of Machine Learning have already started from the United States like the driverless cars that are running over the streets of California and the cashless amazon-go store which does not charge a single penny instead it will auto-debit from your amazon account. Machine Learning tutorial is all about creating algorithms and creating various real-world problem-solving challenges
Machine Learning can also be used for automation which means to automate the high precision and repetitive activities. The following are some of the top industries that have implemented machine learning algorithms to some of their processes:
1. Financial Industry: Some of the leading banks like the HDFC banks have started using machine learning algorithms implemented robots to count their notes or the currency. This is mostly done to cut off the extra costs involved in the entire process.
2. Healthcare: This particular Health care industry has started using AI-based robots that can perform surgical operations on humans. More than 17000 surgeries have already been done until today.
3. Retail: Nowadays many retail stores have started using the AI-based algorithms to analyze your purchase history and accordingly it will show new product recommendations to consumers.
4. Manufacturing: Many AI-based robots have already started their operations in manufacturing and designing various cars and bikes according to consumer behavior.