Top Certification Courses on Machine Learning

Machine Learning A-Z™ Hands-On Python & R In Data Science

“Machine Learning is one of the Skills which is in High demand. Data is the new Oil”

Machine learning has dependably been an essential field in Computer Science, however late advancements in computation power and algorithm efficiency have made this field more conspicuous than at any time in recent memory.

Each one has an alternate style of learning. Thus, there are various ways to become a machine learning researcher. You can learn from tutorials, blogs, books, hackathons, videos and so forth! I like self-managed learning supported by assistance from a group – it works best for me. What works best for an individual might not work for others.

But on the off chance that the response to the above inquiry was classroom/educator-driven certifications, you should check out machine learning certifications and boot camps. They offer an extraordinary method to learn and set you up for the part and desires from becoming an ML researcher.

Before starting the certified course I would suggest to look at 25 skills Machine learning Engineer should know.

How to Choose the Right Online Course for you?

Choosing the right course is always a difficult task for any individual.

So I have selected all these Courses based on some basic Criteria:

Course Content/Description
Course Quality,
Cost,
Instructor
Career Opportunities,
Highest Reviewed,
Best Sellers,
Highest Rated,
Newest etc

For most of these Courses you will Get :

1.) Full lifetime access

2.) Access on mobile and TV

3.) Certificate of Completion

4.) 30-Day Money-Back Guarantee

OK now let’s get started.

10 Best Global Machine Learning Certifications [ 2018 ]

1.) Machine Learning A-Z™: Hands-On Python & R In Data Science

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer (Discount : 94% Off)

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

They walk you step-by-step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.

2.) Machine Learning Certification by Stanford University

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Course

This course provides a broad introduction to machine learning, data mining, and statistical pattern recognition.

Topics include:

(i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks).

(ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning).

(iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI).

The course will also draw from numerous case studies and applications so that you’ll also learn how to apply learning algorithms to building smart robots, text understanding, computer vision, medical informatics, audio, database mining, and other areas.

3.) Machine Learning Certification Training using Python

Course Review : 9.6 / 10

Course Link : CLICK HERE for the Course

Edureka’s Machine Learning Certification Training using Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning.

This Machine Learning using Python Training exposes you to concepts of Statistics, Time Series and different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. Throughout the Data Science Certification Course, you’ll be solving real-life case studies on Media, Healthcare, Social Media, Aviation, HR.

4.) Machine Learning Certification by University of Washington

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning.

Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval.

You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.

5.) A-Z Machine Learning using Azure Machine Learning (AzureML)

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer (Discount : 94% Off)

The course is really very complete. You don’t need to know anything about the subject.

However, the teacher explains so well that I was able to understand and complete all the topics. The teacher also answers the questions quickly and kindly.

This course has been designed keeping in mind entry level Data Scientists or no background in programming or data science.

You can skip some of the initial lectures or run them at 2x speed, if you are already familiar with the concepts or basics of Machine Learning.

5.) Python for Data Science and Machine Learning Training

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer (Discount : 94% Off)

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

This comprehensive course is comparable to other Data Science boot camps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost!

With over 100 HD video lectures and detailed code notebooks for every lecture, this is one of the most comprehensive courses for data science and machine learning on Udemy!

6.) Data Science, Deep Learning, & Machine Learning Tutorial with Python

Course Review : 9.6 / 10

Course Link : CLICK HERE for the Special Offer (Discount : 92% Off)

This comprehensive course includes over 80 lectures spanning 12 hours of video, and most topics include hands-on Python code examples you can use for reference and for practice.

I’ll draw on my 9 years of experience at Amazon and IMDb to guide you through what matters, and what doesn’t.

It’s then demonstrated using Python code you can experiment with and build upon, along with notes you can keep for future reference. In the end, you’ll be given a final project to apply what you’ve learned!

7.) Practical Machine Learning – Hopkins University

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer

This course will cover the basic components of building and applying prediction functions with an emphasis on practical applications. The course will provide a basic grounding in concepts such as training and tests sets, overfitting, and error rates.

The course will also introduce a range of model based and algorithmic machine learning methods including regression, classification trees, Naive Bayes, and random forests. The course will cover the complete process of building prediction functions including data collection, feature creation, algorithms, and evaluation.

8.) CSCI E-81 Machine Learning and Data Mining

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer

The course is intended to combine the theory with the hands-on practice of solving modern industry problems with an emphasis on image processing and natural language processing.

Topics include object detection, advanced clustering techniques, deep learning, dimensionality reduction methods, frequent item set mining, and recommender systems.

Topics also considered include reinforcement learning, graph-based models, search optimization, and time series analysis.

Students may not receive a degree or certificate credit for both this course and CSCI E-81 or CSCI E-181, offered previously.

9.) Machine Learning at Udacity

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer

The first part of the course covers Supervised Learning, a machine learning task that makes it possible for your phone to recognize your voice, your email to filter spam, and for computers to learn a bunch of other cool stuff.

In part two, you will learn about Unsupervised Learning. Ever wonder how Netflix can predict what movies you’ll like?

Or how Amazon knows what you want to buy before you do? Such answers can be found in this section!

9.) Machine Learning with Mahout Certification Training

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer

The online course is designed to provide a blend of Machine learning & Big Data and where Mahout fits in the Hadoop Ecosystem.

10.) Advanced Machine Learning Certification by Higher School of Economics

Course Review : 9.5 / 10

Course Link : CLICK HERE for the Special Offer

This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods.

Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice.

Upon completion of 7 courses, you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.

Best Books/Resources for Machine Learning

FINAL WORDS

So those people were our decision of the Global Best Machine Learning Training and Certifications which you can do online. These depend on latest standings and are refreshed for 2018.

Above list renowned certifications in machine realizing which can add huge weight to your profile, along these lines expanding your odds to snatch a good job.

PS: Start taking these courses One by One. Perhaps, an $8-10 course can change your Career for eternity.

Invest Now and Reap Rewards later with Compounding.

Good Luck!

Related: