Data Science, Machine Learning and Artificial Intelligence Tutorial
To survive in this COVID-19 age where companies are deliberately looking for the solutions that may help them deal with the business challenges, cloud computing and its associated tools prepare them with cost-effective strategies.
From adapting well to the risks involved in real-time to collaborating well with clients remotely, business entrepreneurs and other experts (either tax or finance) need not hassle for the solutions.
The term Machine Learning was given by Arthur Samuel in the year 1959 and he defined it as the “field of study that gives computers the ability to learn without being explicitly programmed”. Now Machine Learning is helping organizations to take data driven decisions rather completely relying on the experience driven decisions.
Further in this article, we will discuss the benefits of Machine Learning in the development process of a mobile app and everything which revolves around Machine Learning and its use in developing a mobile app.
As Machine Learning and Artificial Intelligence (AI) are making their ways in the market there will be a time surely when there will not arise any requirement of developers and IT professionals. The technical bugs will get fixed by the machines themselves. Lot of manual work will be automated.
In today’s world artificial intelligence (AI) is making noise in every sector allowing computers to learn from and recommend the actions based on the previously collected data. Now a days, Human Resource department have no longer a manual work, AI technology offers the significant opportunities to improve the HR functions such as recruiting and talent acquisition, payroll, reporting, access policies and procedures etc. AI will help HR executives to enhance the overall employee experience this will give HR executive more time in budgeting, planning and making accurate decision on people management.
Data science and big data are no longer strange terms that are limited to techie vocabulary. In fact, the continuous expansion of the digital world has made data crucial for businesses to grow and succeed. This is why both terms have become more commonly used in industries other than IT.
