🤖 7 Best Platforms to Learn Machine Learning for Free
Tags: machinelearning, ai, beginners, codenewbie
Published: 2023-05-23 06:33:48

## Uncover the top online platforms to learn Machine Learning in 2023.

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The AI revolution is here and it’s not going anywhere.

But as much as we keep hearing about it all around us at the moment, the technology isn’t new. For years Artificial Intelligence has been hiding in plain sight.

Have you ever wondered how your favourite streaming service knows exactly what kind of shows or movies you'll love? Or how that virtual assistant on your phone seems to understand your every command? Well, the magic behind these wonders is called **Machine Learning**.

## What exactly is Machine Learning?

Think of it as the brains behind the brawn of technology. It's a branch of Artificial Intelligence that enables computers to learn and improve from data without explicit programming. It's like having a digital apprentice that can sift through massive amounts of information, spot patterns, and make predictions that seem almost magical. It’s pretty darn cool!

## The growing significance of Machine Learning

Now, let's talk about why Machine Learning has become the talk of the town. Its significance goes beyond just the tech world. Machine Learning is a game-changer in various industries, making waves in finance, healthcare, marketing, and more.

Its impact on society is undeniable. Imagine doctors using Machine Learning algorithms to diagnose diseases more accurately or companies leveraging predictive analytics to optimise their operations and deliver better products and services. Machine Learning has become a key ingredient for innovation and progress, revolutionising the way we live and work.

## The demand for Machine Learning skills

With such a massive impact, it's no wonder there's a skyrocketing demand for professionals skilled in Machine Learning. Companies around the globe are hungry for talent that can unlock the potential of this technology.

The career opportunities in this field are abundant, and the best part? They often come with enticing perks and a [generous paycheck](https://dev.to/evergrowingdev/your-coding-skills-are-priceless-heres-why-1bj).

So if you’re a fan of getting to know the latest technologies, there’s never been a greater time to jump on the Machine Learning bandwagon.

## Why should you learn Machine Learning?

The answer lies in the real-world applications and benefits that this field brings to the table. By utilising Machine Learning, you'll gain the power to make accurate predictions, anticipate trends, and provide personalised experiences.

Whether it's building recommendation systems that know your tastes better than your best friend or developing algorithms that can understand and respond to human language (_cough_ like ChatGPT _cough_), Machine Learning opens up a [world of possibilities](https://dev.to/evergrowingdev/can-ai-make-you-a-smarter-programmer-1lbk).

Through Machine Learning, you can become a data-driven superhero, armed with the ability to uncover valuable insights and make informed decisions. You'll have the opportunity to contribute to groundbreaking advancements in technology, shape the future, and make a tangible impact on the world around you.

The good news is that you don't need a fancy degree or a massive bank account to get started. There are incredible free resources available that can guide you on your Machine Learning journey.

So to help you get started here are the best seven platforms to learn Machine Learning for free in 2023:

## #1 - [Google Machine Learning Education](https://developers.google.com/machine-learning/crash-course)

![Google Machine Learning Education](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/zfe2b9qmbnl4m14k5qq2.png)

Google's [Machine Learning Crash Course](https://developers.google.com/machine-learning/crash-course) with TensorFlow APIs, is a fast-paced and practical introduction to machine learning. Learn from Google experts through video lectures, real-world case studies, and hands-on exercises.

This course answers key questions such as how machine learning differs from traditional programming, how to measure loss, understand gradient descent, evaluate model effectiveness, represent data for learning, and build deep neural networks.

With Google, you can gain practical experience by participating in the companion Kaggle competition, where you can apply your machine-learning skills to real-world challenges. Alternatively, visit Learn with Google AI and explore their comprehensive library of training resources to further expand your knowledge and expertise in the field.

## #2 - [edX: HarvardX](https://www.edx.org/course/data-science-machine-learning)

![edX](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/rhgrakwk6q96qw2vsf2a.png)

Enrol in the prestigious HarvardX [Data Science: Machine Learning course](https://www.edx.org/course/data-science-machine-learning) on edX and gain in-depth knowledge of this highly sought-after data science technique.

In this course, you'll have the opportunity to build a movie recommendation system while learning about popular machine learning algorithms, principal component analysis, and regularisation.

You’ll also discover the significance of training data and its role in uncovering predictive relationships, and learn to train algorithms using this data to make predictions for future datasets. Additionally, you’ll delve into the critical topic of overtraining and the techniques to mitigate it, such as cross-validation.

By the end of the course, you will have acquired fundamental skills essential for machine learning.

## #3 - [Udacity](https://www.udacity.com/course/intro-to-machine-learning--ud120)

![Udacity](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/8zqw06jqj49a9894x730.png)

Join Udacity's [Introduction to Machine Learning](https://www.udacity.com/course/intro-to-machine-learning--ud120) course to gain a comprehensive understanding of the data investigation process through the lens of machine learning.

In this course, you’ll discover how to extract and identify relevant features that accurately represent your data, explore key machine learning algorithms, and evaluate their performance.

It’s a hands-on course that offers practical learning experiences, showcasing captivating use cases and addressing real-world challenges like self-driving cars. By completing this introductory course, you'll acquire the skills to analyse data using machine learning techniques and be well-prepared for further specialisation through Udacity’s Data Analyst Nanodegree program.

## #4 - [Practical Deep Learning for Coders](https://course.fast.ai/)

![Practical Deep Learning for Coders](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/evg8x2rsk3s0ea05fjag.png)

[Practical Deep Learning for Coders](https://course.fast.ai/) is a free course tailored for individuals with coding experience who aspire to apply deep learning and machine learning to real-world problems.

This comprehensive course covers various topics, including building and training deep learning models for computer vision, natural language processing, tabular analysis, and collaborative filtering.

Additionally, it delves into creating random forests, regression models, model deployment, and the utilisation of powerful tools such as PyTorch, fastai, and Hugging Face.

## #5 - [freeCodeCamp](https://www.freecodecamp.org/learn/machine-learning-with-python/)

![freeCodeCamp](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/vq06e4dwfzu6qup9hszz.png)

Participate in freeCodeCamp's [Machine Learning with Python](https://www.freecodecamp.org/learn/machine-learning-with-python/) course to gain practical skills that can be applied to your projects or professional work.

This certification program focuses on utilising the TensorFlow framework to construct neural networks and delves into advanced techniques such as natural language processing and reinforcement learning.

Additionally, you'll develop an understanding of deep, recurrent, and convolutional neural networks, comprehending their underlying principles.

## #6 - [Kaggle](https://www.kaggle.com/learn/intro-to-machine-learning)

![Kaggle](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/63e4lqmpvl6snbp6p7uk.png)

Get started with Kaggle's [Intro to Machine Learning](https://www.kaggle.com/learn/intro-to-machine-learning) course to gain a solid understanding of the fundamental concepts in machine learning and create your own initial models.

The course begins with an overview of how machine learning models function and their practical applications. Although this may seem basic to those with prior experience in statistical modelling or machine learning, the course soon swiftly progresses to constructing and building powerful models.

## #7 - [Great Learning](https://www.mygreatlearning.com/machine-learning/free-courses)

![Great Learning](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/cv6rdcahtqbbkzdqsiwi.png)

Great Learning provides a range of [free Machine Learning courses](https://www.mygreatlearning.com/machine-learning/free-courses) to enhance your skills. These courses offer a comprehensive introduction to the fundamentals of Machine Learning while providing advanced knowledge in the field.

Learn key concepts such as supervised and unsupervised learning, data pre-processing, feature engineering, model building, and evaluation. Gain a solid understanding of machine learning algorithms, including logistic regression, linear regression, decision trees, support vector machines, and neural networks.

The courses also cover important topics like big data, deep learning, and natural language processing. In addition, by completing these courses, you can earn valuable machine learning certificates.

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In conclusion, the AI revolution is in full swing, and Machine Learning is at the forefront of this transformative technology. As we've explored, Machine Learning allows computers to learn and improve from data, opening up a world of possibilities in various industries. The demand for Machine Learning skills is soaring, presenting abundant career opportunities with enticing perks.

By learning Machine Learning, you can make accurate predictions, provide personalised experiences, and contribute to groundbreaking advancements. Fortunately, you don't need a fancy degree or a hefty budget to get started. There are incredible free resources available, such as the courses offered by [Google](https://developers.google.com/machine-learning/crash-course), [edX](https://www.edx.org/course/data-science-machine-learning), [Udacity](https://www.udacity.com/course/intro-to-machine-learning--ud120), [Practical Deep Learning for Coders](https://course.fast.ai/), [freeCodeCamp](https://www.freecodecamp.org/learn/machine-learning-with-python/), [Kaggle](https://www.kaggle.com/learn/intro-to-machine-learning), and [Great Learning](https://www.mygreatlearning.com/machine-learning/free-courses).

It’s never been easier to equip yourself with Machine Learning skills and embark on an exciting journey of innovation and impact.

The future is waiting for you!

From your fellow ever-growing dev,

Cherlock Code

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