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Guide To Build A Career In Machine Learning

Guide To Build A Career In Machine Learning

Machine Learning – Artificial Intelligence, Machine learning, Data science are the new technologies becoming popular nowadays and it became a new trend in the IT segment. All of these segments are gaining a lot of attention. Every organization from Google to Facebook, every IT company is adopting the new technology. Data is an integral part of every business and organization. So is Artificial intelligence. Not only in the IT segment, but every other segment also such as Banking, finance, Army, Healthcare and many more segments are also turning towards Artificial Intelligence.

Machine learning is all about working on the computer, wherein the computer will understand human work,  it makes less human activity and more machine performance. Machine learning is one segment that is developing widely. This is the major reason everyone wants to make a career in Machine Learning. This segment has a wide range of job opportunities. So let’s explore what is machine Learning and breakdown the basics

What is Machine Learning?

Machine Learning is an application of Artificial Intelligence, which enables systems to learn and improve a task that is not programmed. The process requires high-quality training via different algorithms. It works based on data or an idea that will learn from data, identify patterns and make decisions with minimal human intervention.

How can you begin your Career in Machine Learning?

[Machine learning] is a process, which works on various tools. Programming with Python, Java, SQL, R, etc are the best languages you can learn to start building models. Machine learning pipelines, big data, deep learning, Natural Language Processing, data mining, are the few major subjects in [machine learning]. Every [machine learning] job is different, each programme has its focus and weightage. Studying on the various data platforms and working on hands-on projects will help you to learn easily and adapt to the industrial working culture. Set a goal, by the end of your preparation, you should be able to convert a business problem to a [machine learning] system.

Types of Courses and Programmes for Machine Learning

Getting the right skill set, enough education and work experience will help you to get into the field of [machine learning]. Though multiple websites offer you free machine-learning online courses and materials, you can consider them as a reference and you can take up a professional course that offers a valid certification. If you come from a non-IT background, start learning the entry-level courses or programming languages. One can find various types of courses and certification programmes like SQL certification online programmes, Python certification for [Machine Learning], Crash Courses for [machine learning], etc on the internet. For computer science background professionals there are various postgraduate programmes, post-graduation diploma courses, and certification courses available.

Here we are listing down some of the top online platforms which are offering [Machine learning] courses

  • Coursera
  • Simplilearn
  • edX
  • UpGrad
  • Udacity
  • DataCamp

Top Certification Programmes for Beginners

  • MySQL for Data Analytics and Business Intelligence
  • Deep Learning Specialization – Coursera
  • [Machine Learning] Certification – Coursera
  • [Machine Learning] Nanodegree Program – Udacity
  • Professional Certificate in Deep Learning by IBM -edX
  • [Machine Learning] Specialization by University of Washington – Coursera

[Machine learning] courses offer various specialization certificates and each certification will take you to a different path. So, while choosing your specialization, think about your interest, goal and capability, as you need to sustain your interests with the course. Working on capstone projects and building your portfolio will help you to get your dream job in your dream company.

Career Options in Machine Learning

[Machine learning] is one of the high demand jobs in the globe. As per LinkedIn, the demand for [machine learning] engineers and professionals are has been increased to approximately 9.8 times from 2013. Keeping aside these statistics as one inference, this is the ideal time to make your career in one of the demanding fields. Top Career Options for [machine learning] aspirants

  • [Machine Learning Engineer].
  • Data Scientist.
  • NLP Scientist.
  • Human-Centred [Machine Learning Designer].
  • Big Data Engineer.
  • Business Intelligence Developer.

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