The 23 Best Machine Learning Courses on Coursera for 2021

Source: Coursera

The editors at Solutions Review have compiled this listing of the very best machine studying programs on Coursera to think about when you’re trying to develop your abilities.

Machine studying entails finding out pc algorithms that enhance mechanically by expertise. It is a sub-field of synthetic intelligence the place machine studying algorithms construct fashions based mostly on pattern (or coaching) information. Once a predictive mannequin is constructed it may be used to make predictions or selections with out being particularly commanded to take action. Machine studying is now a mainstream expertise with all kinds of makes use of and functions. It is very prevalent within the fields of business intelligence and data management.

With this in thoughts, we’ve compiled this listing of the very best machine studying programs on Coursera when you’re trying to develop your abilities for work or play. Coursera is likely one of the prime on-line schooling platforms on the planet, partnering with greater than 200 universities and firms to supply a spread of studying alternatives. The platform touts greater than 77 million learners across the globe. As you possibly can see under, we broke the very best machine studying programs on Coursera down into classes based mostly on the beneficial proficiency stage. Each part additionally options our inclusion standards. Click GO TO TRAINING to be taught extra and register.

Table of Contents

Best Machine Learning Courses on Coursera for Beginners

Note: We included top-rated Coursera machine studying coaching by way of the Level choice to make your search simpler.

Machine Learning for All

Description: This course is designed to introduce you to machine studying with no need any programming. Y​ou will perceive the essential of how fashionable machine studying applied sciences work, have the ability to use a non-programming based mostly platform practice a machine studying module utilizing a dataset, and kind an knowledgeable opinion on the advantages and risks of machine studying to society.

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Structuring Machine Learning Projects

Description: In the third course of the Deep Learning Specialization, you’ll discover ways to construct a profitable machine studying undertaking and get to follow decision-making as a machine studying undertaking chief. By the top, it is possible for you to to diagnose errors in a machine studying system; prioritize methods for lowering errors; perceive advanced ML settings, similar to mismatched coaching/take a look at units, and evaluating to and/or surpassing human-level efficiency; and apply end-to-end studying, switch studying, and multi-task studying.

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Fundamentals of Machine Learning for Healthcare

Description: This course will introduce the basic ideas and rules of machine studying because it applies to medication and healthcare. We will discover machine studying approaches, medical use circumstances, metrics distinctive to healthcare, in addition to greatest practices for designing, constructing, and evaluating machine studying functions in healthcare. The course will empower these with non-engineering backgrounds in healthcare, well being coverage, pharmaceutical improvement, in addition to information science with the data to critically consider and use these applied sciences.

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Managing Machine Learning Projects with Google Cloud

Description: If you will have questions on machine studying and wish to perceive methods to use it, with out the technical jargon, this course is for you. Learn methods to translate enterprise issues into machine studying use circumstances and vet them for feasibility and impression. Find out how one can uncover surprising use circumstances, acknowledge the phases of an ML undertaking and concerns inside every, and achieve confidence to suggest a customized ML use case to your crew or management or translate the necessities to a technical crew.

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The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats

Description: This course will put together you to take part within the deployment of machine studying – whether or not you’ll accomplish that within the function of enterprise chief or quant. In order to serve each sorts, this course goes additional than typical machine studying programs, which cowl solely the technical foundations and core quantitative strategies. This curriculum uniquely integrates either side – each the enterprise and tech know-how – which might be important for deploying machine studying.

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Best Machine Learning Courses on Coursera for Intermediate

Note: We included top-rated Coursera machine studying coaching by way of the Level choice to make your search simpler.

Introduction to Machine Learning

Description: This course will present you a foundational understanding of machine studying fashions (logistic regression, multilayer perceptrons, convolutional neural networks, pure language processing, and so on.) in addition to exhibit how these fashions can clear up advanced issues in quite a lot of industries, from medical diagnostics to picture recognition to textual content prediction.

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Machine Learning with Python

Description: This course dives into the fundamentals of machine studying utilizing an approachable, and well-known programming language, Python. If you select to take this course and earn the Coursera course certificates, additionally, you will earn an IBM digital badge upon profitable completion of the course. This coaching will be utilized to a number of Specializations or Professional Certificates applications.

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Google Cloud Platform Big Data and Machine Learning Fundamentals

Description: This course introduces individuals to the large information capabilities of Google Cloud. Through a mix of displays, demos, and hands-on labs, individuals get an summary of Google Cloud and an in depth view of the information processing and machine studying capabilities. This course showcases the benefit, flexibility, and energy of huge information options on Google Cloud.

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MLOps (Machine Learning Operations) Fundamentals

Description: This course introduces individuals to MLOps instruments and greatest practices for deploying, evaluating, monitoring and working manufacturing ML methods on Google Cloud. MLOps is a self-discipline centered on the deployment, testing, monitoring, and automation of ML methods in manufacturing. Machine Learning Engineering professionals use instruments for steady enchancment and analysis of deployed fashions. They work with (or will be) Data Scientists, who develop fashions, to allow velocity and rigor in deploying the very best performing fashions.

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Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning

Description: The machine studying course and deep studying Specialization from Andrew Ng teaches crucial and foundational rules of machine studying and deep studying. This new deeplearning.ai TensorFlow specialization teaches you methods to use TensorFlow to implement these rules with the intention to begin constructing and making use of scalable fashions to real-world issues.

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Applied Machine Learning in Python

Description: This course will introduce the learner to utilized machine studying, focusing extra on the strategies and strategies than on the statistics behind these strategies. The course will begin with a dialogue of how machine studying is totally different than descriptive statistics, and introduce the scikit be taught toolkit by a tutorial. This course must be taken after Introduction to Data Science in Python and Applied Plotting, Charting & Data Representation in Python and earlier than Applied Text Mining in Python and Applied Social Analysis in Python.

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Introduction to Embedded Machine Learning

Description: This course offers you a broad overview of how machine studying works, methods to practice neural networks, and methods to deploy these networks to microcontrollers, which is called embedded machine studying or TinyML. You don’t want any prior machine studying data to take this course. Familiarity with Arduino and microcontrollers is suggested to know some matters in addition to to deal with the tasks. Some math (studying plots, arithmetic, algebra) can be required for quizzes and tasks.

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Exploratory Data Analysis for Machine Learning

Description: This first course within the IBM Machine Learning Professional Certificate introduces you to Machine Learning and the content material of the skilled certificates. In this course, you’ll understand the significance of fine, high quality information. You will be taught widespread strategies to retrieve your information, clear it, apply function engineering, and have it prepared for preliminary evaluation and speculation testing.

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Getting Started with AWS Machine Learning

Description: This course will train you methods to get began with AWS Machine Learning. Key matters embody: Machine Learning on AWS, Computer Vision on AWS, and Natural Language Processing (NLP) on AWS. Each matter consists of a number of modules deep-diving into number of ML ideas, AWS companies in addition to insights from specialists to place the ideas into follow.

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Supervised Machine Learning: Regression

Description: This course introduces you to one of many major forms of modelling households of supervised machine studying: regression. You will discover ways to practice regression fashions to foretell steady outcomes and methods to use error metrics to match throughout totally different fashions. This course additionally walks you thru greatest practices, together with practice and take a look at splits, and regularization strategies.

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Using Machine Learning in Trading and Finance

Description: This course gives the inspiration for growing superior buying and selling methods utilizing machine studying strategies. In this course, you’ll assessment the important thing parts which might be widespread to each buying and selling technique, irrespective of how advanced. You’ll be launched to a number of buying and selling methods together with quantitative buying and selling, pairs buying and selling, and momentum buying and selling.

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Best Machine Learning Courses on Coursera for Expert

Note: We included top-rated Coursera machine studying coaching by way of the Level choice to make your search simpler.

Advanced Machine Learning and Signal Processing

Description: This course, Advanced Machine Learning and Signal Processing, is a part of the IBM Advanced Data Science Specialization which IBM is at present creating and offers you quick access to the invaluable insights into supervised and unsupervised machine studying fashions utilized by specialists in lots of discipline related disciplines. If you select to take this course and earn the Coursera course certificates, additionally, you will earn an IBM digital badge.

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End-to-End Machine Learning with TensorFlow on GCP

Description: In the primary course of this specialization, learners will recap what was lined within the Machine Learning with TensorFlow on Google Cloud Platform specialization. One of the very best methods to assessment one thing is to work with the ideas and applied sciences that you’ve discovered. So, this course is about up as a workshop and on this workshop, you’ll do end-to-end machine studying with TensorFlow on Google Cloud Platform.

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Bayesian Methods for Machine Learning

Description: In six weeks college students will talk about the fundamentals of Bayesian strategies from methods to outline a probabilistic mannequin to methods to make predictions from it. Learners can even see how one can automate this workflow and methods to pace it up utilizing some superior strategies. In addition, college students will uncover functions of Bayesian strategies to deep studying and methods to generate new pictures with it.

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Best Machine Learning Courses on Coursera for All Levels

Note: We included top-rated Coursera machine studying coaching by way of the Level choice to make your search simpler.

Machine Learning

Description: In this class, you’ll find out about the simplest machine studying strategies, and achieve follow implementing them and getting them to work for your self. More importantly, you’ll find out about not solely the theoretical underpinnings of studying, but additionally achieve the sensible know-how wanted to rapidly and powerfully apply these strategies to new issues.

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Machine Learning Foundations: A Case Study Approach

Description: In this course, you’ll get hands-on expertise with machine studying from a sequence of sensible case-studies. At the top of the primary course you should have studied methods to predict home costs based mostly on house-level options, analyze sentiment from person evaluations, retrieve paperwork of curiosity, advocate merchandise, and seek for pictures. Through hands-on follow with these use circumstances, it is possible for you to to use machine studying strategies in a variety of domains.

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Practical Machine Learning

Description: This course will cowl the essential parts of constructing and making use of prediction features with an emphasis on sensible functions. The course will present fundamental grounding in ideas similar to coaching and checks units, overfitting, and error charges. The course can even introduce a spread of mannequin based mostly and algorithmic machine studying strategies together with regression, classification timber, Naive Bayes, and random forests. The course will cowl the entire technique of constructing prediction features together with information assortment, function creation, algorithms, and analysis.

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Machine Learning with Big Data

Description: This course will cowl the essential parts of constructing and making use of prediction features with an emphasis on sensible functions. The course will present fundamental grounding in ideas similar to coaching and checks units, overfitting, and error charges. The course can even introduce a spread of mannequin based mostly and algorithmic machine studying strategies together with regression, classification timber, Naive Bayes, and random forests. The course will cowl the entire technique of constructing prediction features together with information assortment, function creation, algorithms, and analysis.

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Timothy King

Tim is Solutions Review’s Editorial Director and leads protection on large information, enterprise intelligence, and information analytics. A 2017 and 2018 Most Influential Business Journalist and 2021 “Who’s Who” in information administration and information integration, Tim is a acknowledged influencer and thought chief in enterprise enterprise software program. Reach him by way of tking at solutionsreview dot com.

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