As digital technology progresses, there has been a growing number of cyberattacks in the last couple of years. By the first half of 2019, 4.1 billion records were exposed due to data breaches. That number is multiplying every day as more people and businesses move online. Cyberattacks are critical for every organization as they can bring the entire organization to a standstill. In such scenarios, security is a necessity for all organizations.

Innovation is the prime companion of the healthcare sector in tough times. From wearable smart devices that monitor your health to Machine Learning in healthcare for personal assistance, the industry is now advancing much faster than ever before. Google recently developed a Machine Learning algorithm to identify cancerous tumours. Stanford University is working on Machine Learning for health care to detect skin cancer. Microsoft Project InnerEye uses AI and Machine Learning in healthcare to differentiate between tumorous and healthy anatomy with the help of 3D imagery.

In this post, we will see one of the usage of machine learning using Python. But, initially we need to understand what machine learning is. Machine Learning is getting computers to program themselves. If programming is automation, then machine learning is automating the process of automation. If programming is automation, then machine learning is automating the process of automation.

Machine learning is becoming the next big thing in the IT industry. Powering up the computer systems with the ability to self-learn using statistics and trends is already on the rise in the market. Today, almost every sector including health, finance, transport, education, business, and marketing, etc. are taking advantage of machine learning and working on establishing algorithms to speed up the process and increase productivity. Among the top industries focusing on implementing machine learning, Internet of Things (IoT) is leading the pack with the market share of 11.4%. Besides Internet of Things, there are other non-computer related areas be it professional, scientific, and technical services as well as manufacturing sector which are emphasizing on machine learning to boost productivity and efficiency.

In this post, we will see one of the usage of machine learning using Python. But, initially we need to understand what is machine learning. If programming is automation, then machine learning is automating the process of automation. By machine learning one can study the design of algorithm. Python is a complete language and platform that you can use for both research/development and developing production systems.