Machine learning has been training (learning) devices (machines) to perform complex tasks without the need for much programming, or without human interference. This blog is a guide to the most common question that people interested in the technology ask such asWho can do Machine Learning What are career opportunities it offers How to learn Machine Learning in Pythonand many more.
Python is a
programming language that offers modules where programmers can implement
machine learning. Python is a preferred choice for Machine Learning because of
its simpler programming abilities. On Python you will get features such as
simplicity, popularity, handling capacity and interactions.
Working professionals such as web developers, software engineers, and application designers may Learn Machine learning on Python. Moreover, if you do not belong to these fields but are someone who is keenly interested in Machine Learning with Python, you too can learn the skills. All you will need is the basic knowledge of computer science fundamentals and programming, probability and statistics, data modeling and evaluation and software engineering and system design. These skills are not compulsorily required, but the understanding of these areas helps in learning and doing Machine Learning easily.
One of the
top 10 programming languages, Python is the Machine Learning language for you
if you belong to web development, healthcare, finance, retail, automotive,
transportation or oil & gas industry. It is used by renowned companies all
across the globe searching for freshers and professionals having the required
skills and knowledge. The salary of Python Machine Learning professionals saw
an unimaginable hike of 344% in 2019, with an average annual salary of
$146,085. You too can get faster results, build practical skills and strengthen
your portfolio by learning Python Machine Learning.
Online training course at Multisoft Virtual Academy makes it easy and convenient to learn Machine Learning Python with its 4-hour training which can be accessed anytime and anywhere. The recorded video sessions have allowed working professionals to learn at their own pace. Lifetime access to videos and digital learning material makes it useful for revision while pursuing the course and to brush up the knowledge whenever required in the future.
The course designed to meet international standards offers you an in-depth knowledge of topics such as introduction to Machine Learning with Python, machine learning algorithms, open-source machine learning libraries, use of pandas, NumPy, matplotlib and evaluating machine learning models.
About the Author: Bhumika Gupta is a seasoned
Technical Content Writer and Content Developer and has been awarded with a
National Certificate for her writings. She is keenly interested in the training
sector and is currently working as a Senior Content Writer at Multisoft.