Are you tired of wack online learning sites?
Do you want to advance your skills in Machine Learning?
Searching for the best learning tools online can be a very hectic experience, one that I would rather compare to trying to fix a house into a pocket.
In the new era of the internet, there are a lot of scammers, most of them who just google up things or ideas and give you incomplete tutorials.
I know the feeling because I’ve been there.
Where it feels like the world is coming to an end and you can’t find the correct place for some of the best Machine Learning courses.
News flash! Have you ever tried PluralSight?
Well, if not then you are missing out on some great learning experience.
And that’s why in this article I’ve accumulated some of the best Machine Learning courses that will sharpen up your skills.
Machine Learning is one of the most growing areas in the tech world and it’s only right for you to either, start learning from scratch if you have no experience…
Or perfect your skills if you already have some little knowledge of this field. And what better platform can you choose from if not PluralSight?
But before we get to the most exciting part of this article, be sure to check out my previous article on the best AWS courses on Coursera.
So let’s get started.
Here are some quick links if you want to check out these courses on PluralSight.
Here is a detailed summary of what you’ll learn in each of these Machine Learning courses on PluralSight.
We’ll look at what each course is about, what you’ll be able to do after the course as well as the requirements and skill level you need to have before starting any of these courses
The rise of machine learning is among the most important trends of our time.
Machine learning underlies many of the services you use today, including things like speech recognition and recommendations from Amazon.
And even whether a grocery store lets you use your credit card for your latest purchase, that’s also part of Machine Learning.
This course on Pluralsight is a quick introduction to machine learning. No prior knowledge is required.
The major topics that the instructor covers include:
- What machine learning is and what it can be used for
- The machine learning process
- The basic concepts and terminology of the field
By the end of this course, you’ll know enough to go deeper, if you choose to and to start thinking intelligently about whether machine learning can help your organization.
I hope you’ll join this important best selling course for Understanding Machine Learning, at Pluralsight.
Rating: 4.5 (1892 ratings).
Updated: 23, September 2019.
Duration: 43 minutes.
Use your data to predict future events with the help of machine learning.
This course on PluralSight walks you through creating a machine learning prediction solution and will introduce you to:
- The scikit-learn library
- The Jupyter Notebook environment
In this course, you will gain an understanding of how to perform Machine Learning with Python.
You will get there by covering major topics like how to format your problem to be solvable, how to prepare your data for use in a prediction…
And how to combine that data with algorithms to create models that can predict the future.
By the end of this course, you will be able to use Python and the scikit-learn library to create Machine Learning solutions.
And you will also understand how to evaluate and improve the performance of the solutions you create.
But Before you begin, make sure you are already familiar with software development and basic statistics.
However, your software experience does not have to be in Python, since you will learn the basics in this course.
When you use Python together with scikit-learn, you will see why this is the preferred development environment for many Machine Learning practitioners.
You will do all the demos using the Jupyter Notebook environment. This environment combines live code with narrative text to create a document that can be executed and presented as a web page.
Rating: 4.5 (605 ratings).
Updated: 17, May 2016.
Duration: 1 hour 53 minutes.
This course focuses on implementations and applications of various machine learning methods.
As machine learning is a very vast area, this course is targeted more towards one of the machine learning methods which is neural networks.
The course tries to make a base foundation first by explaining machine learning to you through some real-world applications… and various associated components.
In this course, the instructor takes you through one of the open-source machine learning frameworks for .NET, which is ENCOG.
The course explains how ENCOG fits into the picture for machine learning programming.
Then you’ll learn to create various neural network components using ENCOG and how to combine these components for real-world scenarios.
But that’s not all, you will also go in detail of feed-forward networks and various propagation training methodologies supported in ENCOG.
The instructor talks about data preparation for neural networks using the normalization process.
Finally, you will take a few more case studies and will try to implement tasks of classification & regression.
In the course, the instructor will also give you some tips and tricks for effective & quick implementations of neural networks in real-world applications. This is why I chose this course as another best Machine Learning course on PluralSight.
Rating: 4.5 (484 ratings).
Updated: 22, July 2013.
Duration: 1 hour 47 minutes.
This course walks you through the process of creating a machine learning prediction solution.
The course presents and uses R, the primary language for Machine Learning.
In this course, you will learn how developers and Data Scientists use Machine Learning to predict events based on data.
Specifically, how to format your problem to be solvable, where to get data, and how to combine that data with algorithms to create models that can predict the future.
Throughout this course, you will use R, one of the best known Machine Learning languages.
And no previous R experience is required.
By the end of this course, you’ll know the how, when, where, and why of building a machine learning solution.
You will also have the skills you need to transform a one-line problem statement into a tested prediction model that solves the problem.
Rating: 4.5 (305 ratings).
Updated: 17, February 2016.
Duration: 1 hour 24 minutes.
If you don’t know the question, then you probably won’t get the answer right.
This course is all about asking the right machine learning questions, modeling real-world situations as one of the several well understood machine learning problems.
Machine learning is behind some of the coolest technological innovations today, Contrary to popular perception.
However, you don’t need to be a math genius to successfully apply machine learning.
As a data scientist facing any real-world problem, you first need to identify whether machine learning can provide an appropriate solution.
In this best Machine Learning Course on PluralSight, you’ll learn how to identify those situations.
First, you will learn how to determine which of the four basic approaches you’ll take to solve the problem:
Next, you’ll learn how to set up the problem statement, features, and labels.
Finally, you’ll plug in a standard algorithm to solve the problem.
At the end of this course, you’ll have the skills and knowledge required to recognize an opportunity for a machine learning application and seize it.
Rating: 4.5 (273 ratings).
Updated: 27, September.
Duration: 3 hours 8 minutes.
This is a practical, pragmatic, jargon-free introduction to Machine Learning.
It quickly covers the most important ideas and concepts.
You’ll learn approaches and techniques to apply Machine Learning in your own career.
Tech leaders need a fundamental understanding of the tools and technologies their teams use to build solutions.
This course on PluralSight takes a fast-paced, practical, and pragmatic approach to Machine Learning. Making it one of the best Machine Learning courses on PluralSight.
First, you will explore common cliches around Machine Learning and how they get in the way of learning.
Next, you will get clear on the most important jargon and terminologies that you need to know.
The instructor then covers the steps and sequence of developing a Machine Learning application.
Finally, you will explore the most common practical applications of Machine Learning in real-world projects.
When you’re finished with this course, you will have the skills and knowledge to help implement Machine Learning to support your product, team, or organization.
Rating: 5 (237).
Updated: 11, July 2019.
Duration: 39 minutes.
Machine learning helps predict the weather, route you around traffic jams, and display personalized ads on your web pages.
In this best selling course on PluralSight, you will learn how to use Azure machine learning in order to create, deploy, and maintain predictive solutions.
Every day you see more and more examples of machine learning in your life.
In this course, Getting Started with Azure Machine Learning, you will learn how to develop and deploy predictive solutions using Azure Machine Learning.
In this Microsoft Azure Machine Learning tutorial you will learn:
How, with a little dragging and dropping, you can create solutions from scratch.
Next, if you already have a solution implemented in R or Python, you will learn how to scale them up with Azure Machine Learning.
Finally, you’ll end the course by learning about how to maintain your Azure Machine Learning solution.
After finishing this course, you’ll have gone from a machine learning novice to having a prediction solution service ready to integrate into your applications to make them smarter and more useful.
Rating: 4.5 (172 ratings).
Updated: 2, November 2016.
Duration: 2 hours 13 minutes.
In this course, you will learn advanced topics related to machine learning for more accurate neural network predictive models.
You will also learn different types of neural networks and their implementations using open source machine learning framework ENCOG.
Are you worried about your neural network model prediction accuracy?
Are you not sure about your neural network model selection for your machine learning problem?
This best selling course introduces you to more advanced topics in machine learning.
The previous introductory course, “Introduction to Machine Learning with ENCOG 3,” laid out a solid foundation of machine learning and neural networks.
This course will build upon that foundation for more advanced machine learning implementations.
In this course, you will learn about various neural network optimization techniques to overcome the problems of underfitting and overfitting and to create more accurate predictive models.
The course will also provide an overall picture of various neural network architectures and reasons for their existence.
This course will be focused on the implementation of various supervised feedforward and feedback networks.
During the whole course, you will be using an open-source machine learning framework ENCOG to implement various concepts discussed in this course.
Although the implementations in this course are ENCOG-based, concepts discussed in this course are widely applicable in other frameworks or even in custom development.
Rating: 4.5 (100 ratings).
Updated: 27, November 2013.
Duration: 4 hours 10 minutes.
Machine learning is amazing… and intimidating.
How can computers do magical things like understanding images or text?
This training for programmers will dispel the magic and help you to build your own computer vision program, starting from scratch.
Machine learning is fascinating, but those math-heavy tutorials can be intimidating, even for a programmer.
In this top Machine Learning course on PluralSight, you’ll learn the basics of machine learning from code.
First, you will have a look at supervised learning, and you’ll quickly move to code your first learning program, and see how to improve that program line by line.
Then, you’ll discover how to improve that program line by line.
Finally, you’ll see how to write this program by yourself, without resorting to obscure machine learning libraries.
By the end of this best selling course on PluralSight, you’ll have a working computer vision program that recognizes handwritten characters, and you’ll have practical knowledge of the foundational ideas of machine learning.
Rating: 5 (83 ratings).
Updated: 15, November 2019.
Duration: 2 hours 22 minutes.
In this course, you’ll explore machine learning topics, such as:
- Supervised learning
- Unsupervised learning
- Reinforcement learning
- Deep learning
Play by Play is a series in which top technologists work through a problem in real-time, unrehearsed, and unscripted.
In this course, Play by Play: Machine Learning Exposed, James Weaver, and Katharine Beaumont will start with the basics, and build up in an approachable way to some of the most interesting techniques machine learning has to offer.
You will explore:
- Linear Regression
- Neural Networks
- Survey various machine learning APIs and platforms.
In this machine learning course on Pluralsight, you’ll get practical examples using API.
By the end of this best Machine Learning course on PluralSight, you’ll get an overview of what you can achieve, as well as an intuition on the maths behind machine learning.
Rating: 4.5 (53).
Updated: 25, October 2017.
Duration: 2 hours 51 minutes.
Machine learning is exciting, yet, it may sound more complicated than it actually is.
This course empowers you with the necessary theory and practice to become confident about how machine learning works by building a hands-on solution.
Machine learning is perceived as a difficult, challenging, and math-intensive topic.
In this course on PluralSight, Building Your First Machine Learning solution, you will discover the magic of machine learning and understand the theory behind it.
First, you will learn
- What machine learning is
- Its types
- Its applications
- Why it is getting traction
- What its phases are
Next, you will discover how vital the data is for machine learning solutions, how to source it, analyze it, and pre-process it for subsequent machine learning steps.
Finally, you will explore how to train your machine learning algorithms and evaluate them.
Moreover, you will develop knowledge around recent trends in machine learning, such as AI as a Service.
When you are finished with this course, you will have a firm understanding of machine learning with the ability to build a basic regression machine learning solution.
Rating: 4 (70 ratings).
Updated: 9, December 2019.
Duration: 2 hours 40 minutes.
Machine Learning is the most popular field in computer science nowadays!
It is one of the emerging technologies with many companies in different sectors embracing it.
So it’s no shock if you want to learn this technology.
And if you don’t want to attend a university as you are a working professional or don’t want to spend lots of money on getting a degree, don’t worry!
These best Machine Learning courses on PluralSight will teach you everything you need to know.
I hope these machine learning courses on PluralSight help you learn the ins and outs of machine learning and launch a successful career in this lucrative field
Have you ever taken any of these best Machine Learning courses on PluralSight before?
If yes, please share your experience in the comments.