An Introduction to Machine Learning for Data Engineers by Mike West

Udemy course An Introduction to Machine Learning for Data Engineers by Mike West

An Introduction to Machine Learning for Data Engineers is the best Udemy course on the market. With this offer they will be able to greatly improve their knowledge and become more competitive within the Development category. Therefore, if you are looking to improve your Development skills we recommend that you download An Introduction to Machine Learning for Data Engineers udemy course.

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Course data:

  • Author: Mike West
  • Course rating: 4.3
  • Category: Development
  • Modality: Online
  • Status: Available
  • Idiom: English

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Abouth Mike West

I’m the founder of LogikBot. I’ve worked at Microsoft and Uber. I helped design courses for Microsoft’s Data Science Certifications. If you’re interested in machine learning, I can help.

An Introduction to Machine Learning for Data Engineers

What the udemy An Introduction to Machine Learning for Data Engineers course teaches?

What you’ll learn You’ll be familiar with many of the basic algorithms used in machine learning. You’ll have solid understanding of how real world models are built using Python. You’ll know exactly what machine learning is and what it isn’t. You’ll be prepared for the machine learning questions on the Google Certified Data Engineering Exam.

A Prerequisite for Tensorflow on Google’s Cloud Platform for Data Engineers

More information about the course An Introduction to Machine Learning for Data Engineers

THE REVIEWS ARE IN: Another Excellent course from a brilliant Instructor. Really well explained, and precisely the right amount of information. Mike provides clear and concise explanations and has a deep subject knowledge of Google’s Cloud. — Julie Johnson Awesome! — Satendra Great learning experience!! — Lakshminarayana Wonderful learning… — Rajesh Excellent — Dipthi Clear and to the point. Fit’s a lot of knowledge into short, easy to understand concepts/thoughts/scenarios. — Sam Course was fantastic . — Narsh Great overview of ML — Eli Very helpful for beginners, All concept explained well. Overall insightful training session. Thank you ! –Vikas Very good training. Concepts were well explained . — Jose I like the real world touch given to course material . This is extremely important. — Soham Learned some new terms and stuffs in Machine Learning. Ideal for learners who needs to get some overview of ML. — Akilan This session is very good and giving more knowledge about machine learning — Neethu Got to know many things on machine learning with data as a beginner. Thanks Mike. –Velumani Really well explained and very informative. — Vinoth COURSE INTRODUCTION: Welcome to An Introduction to Machine Learning for Data Engineers. This course is part of my series for data engineering. The course is a prerequisite for my course titled Tensorflow on the Google Cloud Platform for Data Engineers . This course will show you the basics of machine learning for data engineers . The course is geared towards answering questions for the Google Certified Data Engineering exam. This is NOT a general course or introduction to machine learning. This is a very focused course for learning the concepts you’ll need to know to pass the Google Certified Data Engineering Exam. At this juncture, the Google Certified Data Engineer is the only real world certification for data and machine learning engineers. Machine learning is a type of artificial intelligence (AI) that allows software applications to become more accurate in predicting outcomes without being explicitly programmed. The key part of that definition is “without being explicitly programmed.” The vast majority of applied machine learning is supervised machine learning . The word applied means you build models in the real world. Supervised machine learning is a type of machine learning that involves building models from data that exists . A good way to think about supervised machine learning is:  If you can get your data into a tabular format , like that of an excel spreadsheet, then most machine learning models can model it. In the course , we’ll learn the different types of algorithms used. We will also cover the nomenclature specific to machine learning. Every discipline has their own vernacular and data science is not different. You’ll also learn why the Python programming language has emerged as the gold standard for building real world machine learning models. Additionally, we will write a simple neural network and walk through the process and the code step by step . Understanding the code won’t be as important as understanding the importance and effectiveness of one simple artificial neuron. *Five Reasons to take this Course.* 1) You Want to be a Data Engineer It’s the number one job in the world. (not just within the computer space) The growth potential career wise is second to none. You want the freedom to move anywhere you’d like. You want to be compensated for your efforts. You want to be able to work remotely. The list of benefits goes on. 2) The Google Certified Data Engineer Google is always ahead of the game. If you were to look back at a timeline of their accomplishments in the data space you might believe they have a crystal ball. They’ve been a decade ahead of everyone.  Now, they are the first and the only cloud vendor to have a data engineering certification. With their track record I’ll go with Google. 3) The Growth of Data is Insane Ninety percen…

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