Build a Career in AI and Machine Learning | Machine Learning | Artificial Intelligence | Simplilearn

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Have you ever thought of working in Artificial Intelligence (AI)? With the advancement in digital technologies, AI and Machine Learning are the buzzwords today. And if you want to build a career in this fast-growing domain, now’s the time to start.

Join domain expert and Big Data influencer, Ronald Van Loon, and Anand Narayanan, Chief Product Officer at Simplilearn, as they discuss why AI and machine learning are so popular and what skills can help you carve out a career in this field.

In this fireside chat, you’ll learn about:

1. AI and its various disciplines
2. Some real-life applications of AI and machine learning
3. Career choices in AI and what skills can help you land a job in this domain

Don’t miss this live 60 minute-long chat about one of the most sought-after domains in the business world today.
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To gain in-depth knowledge of Machine Learning, check our Machine Learning certification training course: https://www.simplilearn.com/big-data-and-analytics/machine-learning-certification-training-course?utm_campaign=Build-Carerr-in-AI-and-Machine-Learning-LrGA9nAt4XA&utm_medium=Tutorials&utm_source=youtube

#MachineLearningAlgorithms #Datasciencecourse #DataScience #SimplilearnMachineLearning #MachineLearningCourse

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About Simplilearn Machine Learning course:

A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning.

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Why learn Machine Learning?

Machine Learning is taking over the world- and with that, there is a growing need among companies for professionals to know the ins and outs of Machine Learning
The Machine Learning market size is expected to grow from USD 1.03 Billion in 2016 to USD 8.81 Billion by 2022, at a Compound Annual Growth Rate (CAGR) of 44.1% during the forecast period.

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What skills will you learn from this Machine Learning course?

By the end of this Machine Learning course, you will be able to:

1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling.
2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project.
3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning.
4. Understand the concepts and operation of support vector machines, kernel SVM, Naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more.
5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems

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Who should take this Machine Learning Training Course?

We recommend this Machine Learning training course for the following professionals in particular:

1. Developers aspiring to be a data scientist or Machine Learning engineer
2. Information architects who want to gain expertise in Machine Learning algorithms
3. Analytics professionals who want to work in Machine Learning or artificial intelligence
4. Graduates looking to build a career in data science and Machine Learning

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