If you think about it, the future can be a little daunting. It's filled with AI, automation, 3D printing, virtual reality, the Internet of Things and other concepts that used to look like science fiction. But if you understand these ideas, it can also be a place full of possibilities. For example, if you understand the basics of AI and big data, you can build a career as a machine learning engineer. Not only could this bring you a very healthy salary for machine learning engineers, but it could also help you shape that future.
In this post, we'll take a look at what a machine learning engineer does and why a good job role and how to get started.
Why Machine Learning?
Machine learning (ML) enables companies to use huge amounts of data for applications that were previously not possible. ML algorithms can learn the habits and buying behavior of customers, perform incredibly complex math, and enable completely new products.
Virtually every industry in the near future will be heavily influenced by AI and machine learning, and in a way you probably would not expect. Take video games, for example, where machine learning enables real-time raytracing and photo-realistic lighting. Every industry is fundamentally changed by the combination of data and logic.
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For that reason, Harvard Business Review's data scientist was named the "sexiest job of the 21 st century".
What is the machine learning salary? According to Prospects.ac.uk, the average salary for machine learning engineers in the UK is £ 52,000, which can be £ 170,000 if you work for a company like Google or Facebook. That's about $ 62,568, or $ 204,551.65.
A machine learning content can go up to $ 204,551.
What is Machine Learning?
First, it's important to understand exactly what machine learning is and is not.  AI automation jobs "width =" 1200 "height =" 675 "srcset =" https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs- 1200×675.jpg 1200w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-300×170.jpg 300w, https://cdn57.androidauthority.net/wp- content / uploads / 2019/08 / AI-Automation-of-Jobs-768×432.jpg 768w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-16×9 .jpg 16w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-32×18.jpg 32w, https://cdn57.androidauthority.net/wp-content /uploads/2019/08/AI-Automation-of-Jobs-28×16.jpg 28w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-56×32. jpg 56w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-64×36.jpg 64w, https://cdn57.androidauthority.net/wp-content/ uploads / 2019/08 / AI-Automation-of-Jobs-712×400.jpg 712w, https://cdn57.android authority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-1000×563.jpg 1000w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation -of-jobs-792×446.jpg 792w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-1280×720.jpg 1280w, https: //cdn57.androidauthority .net / wp-content / uploads / 2019/08 / AI-Automation-of-Jobs-840×472.jpg 840w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation- of-jobs-1340×754.jpg 1340w, https://cdn57.androidauthority.net/wp-content/uploads/2019/08/AI-Automation-of-Jobs-770×433.jpg 770w, https: //cdn57.androidauthority. net / wp-content / uploads / 2019/08 / AI-Automation-of-Jobs-355×200.jpg 355w "sizes =" (max-width: 1200px) 100vw, 1200px "/> Read also: ML Ki: Extract text from images using Google's sdk General Intelligence (AGI) machine tutorial, an AI designed to handle several different types of tasks and perhaps even the Turing test consist.
Computer vision on the other hand – the ability of a program to identify objects in a scene – is achieved through machine learning. By viewing hundreds of thousands of images, you can "teach" an AI to recognize objects such as cars or plants. If your phone's camera has scene detection, it will use machine learning. Similarly, ML is also used to teach voice recognition by virtual assistants.
Machine learning can be used to identify X-ray health problems and assist physicians with their diagnoses. or to predict the weather more accurately. There is much more potential to be tapped.
What does a machine learning engineer do?
The task of a machine-learning engineer is to teach AIs and software based on data.
The job of a machine-learning engineer is to use data to teach AIs and software. You could:
- write programs and develop algorithms to extract meaningful information from large amounts of data.
- Perform experiments and test different approaches.
- Optimizing programs to improve performance, speed, and scalability Records
- Suggestions for Useful Machine Learning Applications
A machine learning engineer could therefore work for a company that already makes a product – be it speech recognition or computer Vision or something more specialized. Alternatively, they could work for an agency that offers machine learning solutions to companies that can benefit from the technology. You may also work in the research and development department of a technology company like Google to create new applications.
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And of course, the salary for machine learning engineers tends to be higher to reflect this.
To get an idea of what you need to understand as a machine-learning engineer, I recommend this article on the top 10 algorithms used in ML. If that fascinates you, you will probably enjoy ML. If not, you may be better suited for a different role.
You want to become a mechanical engineer? Do you think you have what it takes? Here's what you need to know to get started and earn an excellent salary as a machine learning engineer.
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There is no fixed way to become an ML engineer in terms of qualifications and certifications. Many jobs that pay the best machine learning salaries require a bachelor's degree. This will often be a computer science degree that provides a broad understanding of computer, technology and programming. A degree in mathematics can also be a good starting point.
Ideally, you would then build on it with a background in software engineering and data science. The most useful programming languages in this area are Python, C and C ++.
From there, you can move on to more specialized machine learning roles or customize your resume with the following machine learning courses. Experiences with ML-APIs like TensorFlow and Keras are also very helpful.
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With Enormous Computing Power and Memory Required Because of the vast amounts of data associated with machine learning, most of them work with cloud-based systems. For this purpose, it is also important to demonstrate familiarity with distributed computing.
Because machine learning is such a trailblazing career, there is no way to follow. You may even find that you can go a long way as an autodidact if you are able to create a sufficiently solid resume.
Courses and Certifications
Here are some courses and certifications that you can use to obtain one such as a Machine Learning Engineer:
Bachelor of Computer Science – This is a complete online undergraduate degree program the University of London, which provides the perfect foundation for those who are able to devote time. They study 3-6 years and have to complete 14-28 hours a week.
Data Science: Machine Learning – If you already have programming and / or math skills, add specific machine learning Knowledge can be anything you need. This is a free 8-week Harvard University course. You can add a verified certificate for a small fee. It will also count toward a Data Science Professional Certificate if you wish to continue. The full course can be found here.
Fundamentals of Data Science: Computer-Aided Thinking with Python – Another free course, this time from Berkeley University of California. It takes 5 weeks and requires a working time of about 4-6 hours per week. You can pay a little extra to add a verified certificate, or you can count it for a full professional certificate in Foundations of Data Science. Machine Learning Specialization – This specialization in machine learning at the University of Washington consists of four separate courses and is free to enroll. You will receive a course certificate that you can add to your LinkedIn account or resume.
Programming in C # – This exam by Microsoft is considered a credit to an MCSA, but also helps fill your resume with evidence of the relevant coding skills all by itself!
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Learn Python Programming Masterclass – This Udemy course does not provide a professional certificate, but is an affordable and helpful introduction to this popular programming language.
So you have it! That's what you need to know to become a mechanical learning engineer. Is this a career you want to pursue? Are you already an ML engineer? Share your tips and experiences in the comments below!