Free Machine learning courses at Google, Intel, IIT, and Harvard University Enroll Now in 2024

The world of Machine Learning (ML) is no longer shrouded in mystery. Today, anyone with an interest can unlock its potential, thanks to a wealth of Free Machine Learning Courses offered by leading institutions like Google, Intel, IIT, and even Harvard University.

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About Machine Learning

Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. Recently, artificial neural networks have been able to surpass many previous approaches in performance.

Machine learning approaches have been applied to many fields including natural language processing, computer vision, speech recognition, email filtering, agriculture, and medicine.

ML is known for its application across business problems under the name of predictive analytics. Although not all machine learning is statistically based, computational statistics is an important source of the field’s methods.

The mathematical foundations of ML are provided by mathematical optimization (mathematical programming) methods. Data mining is a related (parallel) field of study, focusing on exploratory data analysis (EDA) through unsupervised learning.

From a theoretical viewpoint, probably approximately correct (PAC) learning provides a framework for describing machine learning.

Why do we learn Free Machine learning courses?

We learn Machine Learning (ML) for a variety of reasons, but some of the most compelling ones include:

Automation and Efficiency: ML algorithms can automate tasks currently requiring human intervention, saving time and resources. This can be anything from filtering spam emails to recommending products on online shopping platforms.

Data-Driven Decisions: In today’s data-rich world, ML helps us analyze massive datasets and make informed decisions based on patterns and insights we might miss otherwise. This is crucial in fields like finance, healthcare, and marketing.

Improved User Experience: ML personalizes experiences across various platforms. From suggesting relevant content on streaming services to powering chatbots for customer service, ML tailors interactions to individual needs.

Career Advancement: With the growing demand for AI and ML expertise, learning these skills can significantly enhance your employability and career prospects.

Knowledge and Problem-Solving: Understanding ML principles fosters a deeper understanding of data analysis and problem-solving techniques. This knowledge can be applied to various fields, even if you don’t directly work in ML development.

Here Are Free Machine learning courses

1. Intel

This course provides an overview of machine learning fundamentals on modern Intel® architecture. Topics covered include:

Reviewing the types of problems that can be solved

Understanding building blocks

Learning the fundamentals of building models in machine learning

Exploring key algorithms

By the end of this course, students will have practical knowledge of:

Supervised learning algorithms

Key concepts like under- and over-fitting, regularization, and cross-validation

How to identify the type of problem to be solved, choose the right algorithm, tune parameters, and validate a model

The course is structured around 12 weeks of lectures and exercises. Each week requires three hours to complete. The exercises are implemented in Python*, so familiarity with the language is encouraged (you can learn along the way).

Course Link Click Here

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2. IIT Kanpur

Master skills like ML, deep learning, NLP, computer vision, generative AI, prompt engineering, & ChatGPT with this AI ML Certification from E&ICT Academy, IIT Kanpur.

Leverage IIT Kanpur’s Academic ExcellenceProgram completion certificate from E&ICT Academy, IIT KanpurLive masterclasses from distinguished IIT Kanpur faculty

Practical & Industry-Relevant ExperienceLive classes on the latest topics such as generative AI, prompt engineering and perfect your skills with 25+ hands-on projects and your choice of 3 capstone projects

Learn from the experts learn from renowned industry wizards in the field of AI and Machine learning classes by renowned industry wizards in the field of AI and Machine Learning

Simplilearn Career ServiceStrengthen your resume and professional profile with exclusive insider tips highlight your profile to recruiters and stand out in the job market

Course Link Click Here

3. Harvard University

Perhaps the most popular data science methodologies come from machine learning. What distinguishes machine learning from other computer-guided decision processes is that it builds prediction algorithms using data. Some of the most popular products that use machine learning include handwriting readers implemented by the postal service, speech recognition, movie recommendation systems, and spam detectors.

In this course, part of our professional Certificate Program in Data Science, you will learn popular machine learning algorithms, principal component analysis, and regularization by building a movie recommendation system.

You will learn about training data, and how to use a set of data to discover potentially predictive relationships. As you build the movie recommendation system, you will learn how to train algorithms using training data so you can predict the outcome for future datasets. You will also learn about overtraining and techniques to avoid it such as cross-validation. All of these skills are fundamental to machine learning.

Course Link Click Here

Also,Read: Top 6 Google Free AI Online Courses to Master Artificial Enroll Now in 2024

Also, Read : IBM Internship 2024; For College Students: Duration 6 Weeks Internship Apply by 30 April

4. Google

Consider beginning with this approachable Introduction to Machine Learning course if you’re new to machine learning.

This course will teach you:

The several kinds of machine learning
Fundamental ideas in supervised machine learning
How machine learning differs from conventional methods of problem-solving

Course Link Click Here

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