Machine Learning free training resources blog is intended to provide access to anyone around the globe to have access to learning and not be limited for any reason.
We are curated a wide range of resources including online resources, tutorials, training videos, article/blogs, podcasts, books and more with this #FreeMLTraining resources blog. It’s a great idea to explore multiple options to find the ones that best suit your learning style and goals. This free training resource gives you flexibility, variety of subjects and access to materials.
Keep learning! Keep Growing!
Training:
Training is curated with youtube and various courses which are available for free.
Full course on Machine Learning by FreeCodeCamp
You will learn the basics of Machine Learning and how to use TensorFlow to implement many different concepts, linear regression, Clustering methods and much more.
Machine Learning using Python | Simplilearn
You will understand the basics of machine learning, essential applications of machine learning, machine learning concepts, and understand why mathematics, statistics, and linear algebra are crucial. You’ll also learn about regularization, dimensionality reduction.
Python machine learning tutorial by Mosh Hamedani
This tutorial is for everyone who wishes to learn Machine learning using Python and Jupyter. The video is categorized into different sections which includes libraries and tools, implementation and hands-on Jupyter, decision tree and much more.
Machine Learning Tutorial Python
You will learn what machine learning, deep learning, machine learning applications are in real life, and start writing python code to solve a simple problem using machine learning.
Tutorials:
Tutorials are a great way to get hands-on learning experience and practice. Several resources are listed below which provide Machine Learning tutorials.
Introduction to Machine Learning | Kaggle
This tutorial is a good way to start to learn about machine learning.You will learn the core ideas in machine learning, and will build your first models.
Machine Learning Mastery
You will find step-by-step guides, and a wide variety of tutorials for machine learning from beginner to advanced.
Learn Machine Learning from ML Google Experts
Whether you’re learning to code or you’re a seasoned machine learning practitioner, you will find information and exercises to help you develop your skills and advance your projects.
Introduction to Machine Learning by Google
You will start building a foundational knowledge of ML concepts, explore ML techniques and innovative ML approaches like deep learning and neural networks as well.
Get Started with Machine Learning | AWS
Unlock your ML skills and career potential with deep dive coursework, hands on tutorials, and more.
Machine Learning Specialization
This specialization teaches foundational AI concepts through an intuitive visual approach, before introducing the code needed to implement the algorithms and the underlying math.
Recommended Books:
This section is for recommended books which can be purchased and they are not FREE.
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
This book provides an introduction to machine learning with practical examples using three popular python libraries : Scikit-Learn, Keras, TensorFlow. Numerous code examples and exercises throughout the book help you apply what you’ve learned.
Deep Learning (Adaptive Computation and Machine Learning series)
This book is a series of Adaptive Computation and Machine learning with a broad range of topics covering mathematical and conceptual backgrounds, deep learning techniques used in industry and research perspectives.
This book provides a practical approach to key frameworks in data science, machine learning, and deep learning. You will learn to use the most powerful Python libraries to implement machine learning and deep learning.
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
This book will help you with engineering data and choosing the right metrics to solve a business problem, architecting an ML platform that serves across use cases, developing responsible ML systems and more.
Events:
Events are a great resource to attend webinars and we have curated a few of the events listing. Some may be restricted due to geography restrictions.
Artificial Intelligence & Machine Learning Events
You will find a list of the best AI & ML events, conferences, summits, exhibitions, workshops.
Top 12 Machine Learning Events for 2023
Machine learning events are a hot destination for data scientists, academia, IT professionals, and even business leaders who want to explore how ML can help their companies from startups to huge enterprises grow and adapt.
Machine Learning Events | Eventbrite
You will find an online variety of Machine Learning events.
Social Media:
Following official sites and other reputed organizations/groups related to topics can help you be aware of changing trends.
Python Machine Learning & Deep Learning
This Facebook group is dedicated to providing updates and information related to Data Science and Python Machine Learning in a simple and intuitive way.
Artificial Intelligence, Machine Learning, Deep Learning
This group is created for people interested in artificial intelligence, machine learning and deep learning.
This Linkedin group covers Machine Learning, Deep Learning, Computer Vision and more.
Machine Learning Mastery | Twitter
This group is sharing updates, resources to make developers good at machine learning.
Certifications:
Certifications provide credibility and an excellent way to enhance your resume. Some of these curated certifications have FREE training but may have paid certificate or certification exams.
TensorFlow Developer Certification
This certificate in TensorFlow development is intended as a foundational certificate for students, developers, and data scientists who want to demonstrate practical machine learning skills through the building and training of models using TensorFlow.
AWS certified Machine Learning
AWS Certified Machine Learning – Specialty is intended for individuals who perform a development or data science role and have more than one year of experience developing, architecting, or running machine learning/deep learning workloads in the AWS Cloud.
Professional Machine Learning Engineer
The Professional Machine Learning Engineer exam assesses your ability to frame ML problems, develop ML models, architect ML solutions, automate and orchestrate ML pipelines, design data preparation and processing systems, monitor, optimize, and maintain ML solutions.
Other resources:
Cheat sheet:
Cheat sheets designed to help users quickly and easily access key information without having to search through more extensive documentation or resources.
Machine Learning Cheat Sheet by Stanford University
You can easily access the crucial points by this cheat sheet.
Scikit-Learn Cheat Sheet: Python Machine Learning
If you still have no idea about how scikit-learn works, this machine learning cheat sheet might come in handy to get a quick first idea of the basics that you need to know to get started.
Top Machine Learning Algorithms Cheat Sheet
In this cheat sheet, you’ll find a handy guide describing the most widely used machine learning models, their advantages, disadvantages, and some key use-cases.
Articles/blogs:
Articles/blogs are pieces of content that provide information, insight, analysis, or opinion on a specific topic or issue.
Machine Learning Blog by KdNuggets
This blog site provides a variety of courses, articles, tutorials and news related to machine learning.
Human Conversations About Machine Learning | Talking Machine
Talking Machine brings you clear conversations with experts in the field, insightful discussions of industry news, and useful answers to your questions. Machine learning is changing the questions we can ask of the world around us.
Towards data science for machine learning
Towards data science is one of the most popular blog site featuring a variety of articles on machine learning, artificial intelligence, deep learning and data science
Podcasts:
Podcasts provide a way to listen in a digital way when you are traveling /walking on your own time.
Human Conversations About Machine Learning
Talking Machine brings you clear conversations with experts in the field, insightful discussions of industry news.
This Week in Machine Learning & Artificial Intelligence
The TWIML AI Podcast brings the top minds and ideas from the world of ML and AI to a broad and influential community of ML/AI researchers, data scientists, engineers and tech-savvy business and IT leaders.
Data Skeptic is your source for a perspective of scientific skepticism on topics in statistics, machine learning, big data, artificial intelligence, and data science. Weekly podcasts and blogs bring you stories and tutorials to help understand our data-driven world.