An Introduction to Machine Learning for Data Engineers

Course Detail

Salepage: An Introduction to Machine Learning for Data Engineers

Description
THE REVIEWS ARE IN: An outstanding instructor offers yet another excellent course. Very nicely stated, with just the proper number of details. Mike has extensive understanding of Google’s Cloud and offers answers that are both clear and succinct. Jules Johnson
Awesome! — Satendra
Fantastic educational experience! The Lakshminarayana
wonderful education — Rajesh
Excellent — Dipthi
Explicit and direct. Fits a lot of information into concise, understandable concepts, thoughts, and scenarios. — Sam
The course was excellent. — Narsh
wonderful summary of ML — Eli
Very useful for novices, with clear explanations of all concepts. informative training session all around. Thanks a lot! —Vikas
excellent training Concepts were well laid out. — Jose
I enjoy how the course content has a real-world flavor. This is quite significant. — Soham
I gained knowledge of several new machine learning concepts and terminologies. Ideal for students who require an introduction to machine learning. the Akilan
This presentation is excellent and provides further information about machine learning. — Neethu
As a newbie, I learned a lot about machine learning with data. Regards, Mike. —Velumani
Very interesting and so properly stated. the Vinoth
INTRODUCTION TO COURSE:
Welcome to A Machine Learning Introduction for Data Engineers. This program is a part of my data engineering series. The program is necessary for enrollment in my course, Tensorflow on the Google Cloud Platform for Data Engineers.
You will master the fundamentals of machine learning for data engineers in this course. The curriculum is designed to prepare students to successfully complete the Google Certified Data Engineering test.
This is NOT a broad machine learning course or introduction. The principles you’ll need to understand to pass the Google Certified Data Engineering Exam are covered in great detail in this course.
The only current real-world certification available for data and machine learning professionals is the Google Certified Data Engineer.
Artificial intelligence (AI) in the form of machine learning enables software programs to forecast outcomes more accurately without having to be explicitly programmed. The phrase “without being expressly programmed” is the crucial component of that definition.
Supervised machine learning makes up the vast bulk of practical machine learning. When you construct models in the actual world, you are said to have applied. A kind of machine learning called supervised machine learning entails creating models using pre-existing data.
If you can organize your data into a tabular structure, like that of an excel spreadsheet, then most machine learning models can model it. This is an excellent approach to think about supervised machine learning.
We’ll study about the many kinds of algorithms employed in the course. We will also discuss the terminology unique to machine learning. Every field has its own lingo, and data science is no exception.
You’ll also discover why Python has become the go-to language for creating practical machine learning models.
We will also create a basic neural network and walk through the steps and code one at a time. Comprehending the importance and efficiency of one straightforward artificial neuron will be more crucial than understanding the coding.
Five Motivators to Enroll in this Course.
1) You desire to work as a data engineer
It is the top position in the entire planet. (and not simply in the computing environment) There is no equal in terms of professional advancement prospects. You desire the flexibility to travel wherever you like. You expect to get paid for your work. You desire the option of working from home. The advantages keep on coming.
2) The Certified Data Engineer by Google
Google is constantly in the lead. You could think they have a crystal ball if you were to look at a chronology of their achievements in the data arena. They were ten years ahead of everyone else. They are currently the first and only cloud vendor with a certification in data engineering. Google has a proven track record, so I’ll trust them.
3) Data Growth is Insane
The last two years have seen the creation of 90% of the world’s data. Every day, there are over 450 billion transactions made by businesses worldwide. The total quantity of data gathered each day by all companies is about 2.5 Exabytes. Every month, that number grows by two.
4. Machine Learning in Simple Terms
Gaining employment as a data engineer requires having a basic grasp of machine learning, one of the most in-demand professions on the world. Google anticipates machine learning model development skills from data engineers. We will thoroughly cover all the fundamentals of machine learning in this course.
5) You want to be in the know.
The job of data engineer is relatively new. You are the first to work in this emerging field as you learn, develop your skills, and get certified. You are aware that being the first to receive certification entitles you to being the first hired and paid the highest salary.
Regarding An Introduction to Machine Learning for Data Engineers, we appreciate your interest.