• Book Name: Machine Learning Guide for Beginners to Understand Data Science Through the Business Applications by Hack, Samuel
• Author: Hack, Samuel
• Pages: 168
• Size: 5 MB

Machine Learning Guide for Beginners PDF Free Download

Congratulations on purchasing Machine Learning for Beginners and thank you for doing so. There are many opportunities opening up in the field of machine learning. It’s being adopted as a tool by almost every major industry. Whether you are interested in health care, business and finance, agriculture, clean energy, and many others, there is someone utilizing the power of machine learning to make their job easier. Unfortunately for these industries, but fortunate for you is that there is a major shortage of talent in the field of data science and artificial intelligence.

While entry-level data science jobs remain competitive, there is a major shortage of experienced data professionals who can fill the high-level roles. It’s a newer field in computer science, with a younger group of individuals who make up for much of the field. It can be very financially rewarding if you manage to land a job in data science. In 2016 the average data scientist made about $111,000, with predicted growth over the next five years. About half of data scientists working in the field have a Ph.D. It’s not a requirement, but it’s something to consider if you are looking into starting a real career as a data scientist.

Machine Learning Guide for Beginners PDF Free Download

If you are looking to add machine learning to your wheelhouse, so that you can have a better understanding of it and implement it in your own business or projects down the road, then a Ph.D. may not be necessary. But for those looking to enter the field, higher education is recommended as it will help you stand out amongst the field. Indeed.com called machine learning the best career in 2019, and it’s easy to see why. With a huge demand for talented data scientists and a lucrative payout, it’s worth a look. And big data doesn’t seem to be going away anytime soon with an increase in connectivity and higher than ever internet usage by both consumers and companies alike.

Data is a part of our modern world, and as the complexity and size of data increases, it will take even more specialized knowledge and skills to be able to complete the task at hand. To supplement the knowledge in this book, I highly recommend seeking further knowledge in statistics and programming. A good base of statistical knowledge is required to perform any work in machine learning because statistical mathematics provides the structure and justification for all the models and algorithms that data scientists use for machine learning.

Machine learning guide for beginners pdf free download, machine learning guide for beginners to understand data science through the business applications by hack, samuel.