Free Online Machine Learning Courses and Certifications 2024
Machine Learning is a branch of Artificial Intelligence that enables computers to learn from data and make decisions without explicit programming. It is used in various fields such as healthcare, finance, and robotics. People with knowledge in mathematics, statistics, and programming can benefit from taking courses in Machine Learning.
Popular Courses
This course is perfect for anyone looking to learn Machine Learning from scratch. In this video, the instructor provides a step-by-step process on how to learn Machine Learning, along with all the recommended resources. With the provided link, users can access all the courses and get a free token for the AssemblyAI Speech-To-Text API. This course is ideal for anyone who wants to start learning Machine Learning from the ground up.
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Learn how to use Microsoft Azure to become a data science and machine learning expert. With Power BI, Power Query, and Python, you can create visualisations, clean data, and create advanced charts and analyses. Plus, use Azure cloud for Text Analytics and create machine learning instances for computer vision. Take your data science and machine learning skills to the next level with Microsoft Azure.
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Discover the power of SQL with "Machine Learning for Everyone." Dive into a captivating case study of an online movie rental company, exploring a database filled with customer information, movie ratings, actor backgrounds, and more. Unlock the ability to make data-driven decisions as you learn to harness the potential of SQL queries. Investigate customer preferences, analyze customer engagement, and uncover sales development opportunities. Gain an edge with SQL extensions for online analytical processing (OLAP), simplifying the extraction of crucial insights from multidimensional aggregated data. Take your data analysis skills to new heights and equip yourself with the tools to thrive in the world of machine learning.
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This course will teach you the fundamentals of machine learning classification. You will learn how to create models that predict a class (positive/negative sentiment, loan default risk) from input features (text of reviews, financial data). You will become familiar with logistic regression, decision trees, boosting, and stochastic gradient ascent. You will also learn how to handle missing data and evaluate models using precision-recall metrics. All of this will be done in Python. Enroll now and start your journey into the world of machine learning classification!
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This course provides a comprehensive introduction to the foundations of machine learning. Through a series of case studies, you will gain hands-on experience with a range of machine learning techniques, from regression and classification to deep learning and recommender systems. You will learn how to identify potential applications, select the appropriate machine learning task, represent data as features, assess model quality, and build end-to-end applications. By the end of the course, you will be able to apply machine learning methods to a wide range of domains.
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Data scientists and data analysts can benefit from this course on Practical Machine Learning. It covers the basics of building and applying prediction functions, with an emphasis on practical applications. Topics include training and test sets, overfitting, error rates, and a range of model-based and algorithmic machine learning methods. Learn how to collect data, create features, apply algorithms, and evaluate results. Get the skills you need to make accurate predictions.
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This course is designed to help you prepare for the AI-900 Microsoft Azure AI Fundamentals certification exam. You'll refresh your knowledge of fundamental principles of machine learning on Microsoft Azure, and review the main considerations of AI workloads and features of computer vision, NLP, and conversational AI workloads on Azure. Practice exams mapped to all the main topics covered in the AI-900 exam will help you test your knowledge and prepare for success. You'll also get tips and tricks, testing strategies, and information on how to sign up for the proctored exam. No prior data science or software engineering experience is required, but basic computer literacy and English proficiency are necessary. Get ready to take the AI-900 exam and advance your career!
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Learn how to use machine learning to create interactive music, art, and performance systems! Enroll in this course to get started.
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Learn the fundamentals of machine learning and gain the skills to become a data scientist or quantitative analyst. Enroll in this introductory course in machine learning today!
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Discover the fundamentals of Machine Learning with Dr. Artemy Kolchinsky and Dr. Brendan Tracey. Learn how to apply ML principles to solve real-world problems and gain insights into the power of this rapidly advancing field.
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Discover the power of neural networks and machine learning with this comprehensive course. Learn how to apply these algorithms to speech and object recognition, image segmentation, modeling language and human motion. Suitable for intermediate level learners with experience in calculus and programming (Python). Enroll now before the course ends on October 10, 2018.
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Enroll in this Machine Learning Series and learn how to use Unsupervised Learning to identify structure in data. With Professor Isbell and Professor Littman as your guides, you'll gain a deep understanding of the powerful techniques used to uncover patterns in data.
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Enroll now and learn the fundamentals of Machine Learning to gain the skills you need to become a successful data analyst.
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Discover the power of Machine Learning and unlock the potential of data analysis. Learn models and methods to apply to real-world situations, from identifying trending news topics to building recommendation engines. Explore probabilistic and non-probabilistic modeling, supervised and unsupervised learning, and topics such as classification and regression, clustering methods, and matrix factorization.
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Enroll now and learn the fundamentals of machine learning and gain the skills to apply them to real-world problems.
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Learn the fundamentals of machine learning and analytics and gain the skills to apply them to real-world problems. Enroll now and become an expert in data science and analytics.
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Frequently Asked Questions and Answers
Q1: What exactly machine learning?
Machine learning is a subfield of artificial intelligence (AI) that gives computers the ability to learn without being explicitly programmed. It does this by analyzing data and identifying patterns that can be used to make predictions or decisions.
Q2: What is a machine learning example?
Facial recognition is a machine learning application that identifies people by their faces. It is used in a variety of applications, such as: Tagging photos on social media, Verifying identities at airports and other security checkpoints, Tracking criminals, Unlocking phones, Accessing buildings.
Q3: What Machine Learning courses can I find on AZ Class?
On this page, we have collected free or certified 672 Machine Learning online courses from various platforms. The list currently only displays up to 50 items. If you have other needs, please contact us.
Q4: Can I learn Machine Learning for free?
Yes, If you don’t know Machine Learning, we recommend that you try free online courses, some of which offer certification (please refer to the latest list on the webpage as the standard). Wish you a good online learning experience!
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