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How To Break Into the AI Industry? Top 5 Best Machine Learning Courses Online.

Updated on January 18th, 2024

March 14th 2023

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Generated with Stable Diffusion on March 14th, 2023 using the prompt "artistic vision of machine learning and neural networks in high resolution"

This text was fully written by humans.

SUMMARY / KEY TAKEAWAYS

  • If you dream of a career in IT, it is perfect timing to enter the field of AI. This cutting-edge field is transforming industries and changing the way we interact with technology.

  • To work in AI, you need to do nothing else then learn programming and get a perfect command of machine learning.

  • In this article, we’ll introduce you to the basics of machine learning and provide a roadmap for further exploration.

Machine Learning: The Key To Enter the World of AI.

As introduced in the article “Galloping Progress in AI and Machine Learning: How Can It Influence Our Jobs?,” we are just witnessing an insane progress in the field of AI. AI both kills positions and produces the whole new professions, or even market sectors. 

LinkedIn data predicts 65% shift in job skills by 2030 due to AIContent creators get replaced by prompt engineers, lawyers, accountants, and project coordinators and are swapped with automated management software using APIs pegged to AI. 

Are you ready to dive into the exciting world of AI? Do you dream about starting a career in this industry? This might be a good call! This cutting-edge field is transforming industries and changing the way we interact with technology. 

From self-driving cars, through chatbots and text-to-image software, to personalized recommendations on streaming platforms, AI is shaping our world in countless ways. But how to join this industry and where do you start? With so much information available online, it can be overwhelming to learn where to begin your journey. 

You should know that to work in AI, you need to do nothing else then learn programming and get a perfect command of machine learning: training computer programs to improve their performance on tasks by learning patterns and rendering useful information from data. 

Most leading companies in IT no longer expect university degrees from you; instead, they are interested in your sheer skill and creativity. In this article, we’ll introduce you to the basics of machine learning and list five most iconic online courses in machine learning that will help you start a career in this domain.

What is Machine Learning?

Machine learning is a form of artificial intelligence that enables computers to learn and make decisions without explicit programming. At its core, machine learning is all about using data to back engineer real-world problems and to teach computers to perform tasks on their own and gradually improve their performance along with the additional data supply.

For example, a machine learning algorithm might be used to analyze a dataset of medical records and predict the likelihood of a patient developing a certain disease. As the algorithm processes more and more data, it becomes increasingly better at making predictions and can even adapt to new situations.

There are several different types of machine learning algorithms, each with its own set of characteristics and use cases.

Supervised learning involves training an algorithm on a labeled dataset, where the correct output is provided for each example in the training set. In contrast, unsupervised learning involves training an algorithm on an unlabeled dataset, with the goal of discovering hidden patterns and relationships in the data.

There is also semi-supervised learning, which is a combination of supervised and unsupervised learning, and reinforcement learning, which involves training an algorithm through trial and error.

With a good command of the aforementioned techniques in machine learning, you have almost unlimited possibilities in terms of implementing AI models such as Large Language Models (LLMs):

Ontology Of Value DataBricks-LLM-Model-generation-916x1024 How To Break Into the AI Industry? Top 5 Machine Learning Courses Online IT Self-management Tools and Strategies
Source: Databricks.
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The Best Machine Learning Courses Online.

Looking to start your adventure with machine learning? These top 5 best machine learning courses online will give you the skills and knowledge you need to succeed.

Covering a wide range of topics and suitable for students at all levels, these courses offer something for everyone. From basic principles to advanced techniques, you’ll be able to find the course that best fits your needs. Don’t miss out on this opportunity to advance your career and join the ranks of machine learning professionals!

1. Machine Learning Specialization by Stanford University on Coursera.

The Machine Learning Specialization is an online program designed to provide students with the foundational knowledge and skills they need to build real-world AI applications. Taught by an AI expert Andrew Ng, this 3-course program is an updated and expanded version of his popular machine learning course.

This specialization covers a wide range of topics, including supervised learning (linear regression, logistic regression, neural networks, decision trees), unsupervised learning (clustering, dimensionality reduction, recommender systems), and best practices for building innovation in the domain of machine learning.

Throughout the program, students will have the opportunity to build machine learning models in Python using popular libraries like NumPy and Scikit-learn. By the end of the program, they will master key concepts in machine learning and gain practical experience in applying machine learning to challenging real-world problems. 

This specialization is suitable for students at all levels and is an ideal starting point for those looking to break into the field of machine learning.

How Much Do I Need To Pay For This Course?

This beginner course is the best machine learning course online! And the best part? It’s available for free on Coursera. While you do have the option to pay for a certificate upon completion, you can also audit the course for free without receiving the certified qualification. Don’t you have the funds to pay for the certificate? No problem! Financial aid is available to help those who might not be able to afford it.

Find out more about Machine Learning Specialization by Stanford University.

2. Data Science & Machine Learning Bootcamp on Udemy.

The complete Data Science & Machine Learning Bootcamp is the best machine learning course online on how to code in Python and enter the field of data science. The course, which is over 40 hours long, is taught by the lead instructor at the App Brewery, the leading in-person programming bootcamp in London.

With a curriculum that was developed with the help of industry professionals and student feedback, the course covers a wide range of topics, including data cleaning and pre-processing, linear regression, optimization algorithms, neural networks, and model evaluation.

Throughout the course, students will use tools such as Python 3, Tensorflow, Pandas, and Scikit-learn to solve real-world problems and complete a number of projects. By the end of the course, students will be proficient in Python and ready to take on data science projects at a professional level. 

The course includes 178 HD video lectures, code challenges, challenging data science and machine learning projects, and resources dedicated to programming.

How Much Do I Need To Pay For This Course?

This online course costs $84.99 and is suitable for beginners.

Find out more about Data Science & Machine Learning Bootcamp.

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3. Machine Learning Crash Course on Google Developers.

The Machine Learning Crash Course is a free best machine learning course online offered by Google. It covers the basics of machine learning and provides an introduction to the concepts and techniques used in the field.

The course is designed to be fast-paced and hands-on, with interactive exercises and real-world examples to help students apply their knowledge. It is suitable for students with no previous experience in machine learning.

Before diving in, Google recommends brushing up on Introduction to Machine Learning Problem Framing and NumPy Ultraquick tutorials, as well as having some familiarity with Python and basic math concepts like linear equations and statistical means

The course covers topics such as supervised and unsupervised learning, decision trees, and neural networks, and is taught by experts from Google. Upon completion of the course, students will have a strong understanding of the principles of machine learning and be able to apply them to solve real-world problems.

How Much Do I Need To Pay For This Course?

This crash course is free to take but it comes with no certification.

Find out more about Machine Learning Crash Course

4. Introduction To Machine Learning on Udacity.

This course will provide hands-on experience with machine learning by exploring real-world applications such as self-driving cars and analyzing the email and financial data of the Enron corporation.

Upon completion, students will have a strong understanding of various machine learning techniques, including Naive Bayes, Support Vector Machines, decision trees, and more.

They will also be able to select and implement the appropriate algorithms for a given task and understand how to work with datasets, perform regressions, identify outliers, and use clustering and feature scaling.

Upon completion, students will have the skills to apply machine learning techniques to data analysis and will be prepared to enroll in a data analyst nanodegree program. The course will also introduce the use of pre-written algorithms and libraries to aid in answering questions through machine learning.

How Much Do I Need To Pay For This Course?

Get started on your machine learning journey for free with this comprehensive course! You’ll have access to around 10 weeks of educational content, plus a certificate of completion to showcase your new skills. And if you want to take your education to the next level, consider enrolling in the Data Analyst nano-degree for just $399 per month.

Find out more about Introduction To Machine Learning.

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5. Machine Learning With Python by IBM on Coursera.

Dive into the exciting world of machine learning with Python! In this course, you’ll learn about supervised and unsupervised learning, linear and non-linear regression, and more. 

You’ll also get hands-on experience with classification algorithms like KNN, decision trees, and logistic regression, as well as various types of clustering algorithms and their applications. 

Plus, you’ll get to work with Python libraries like SciPy and Scikit-learn and apply your skills through labs and building the final project. By the end, you’ll have job-ready skills and a certificate in machine learning to showcase your expertise. 

The course includes around 23 hours of content and a certificate of completion. Many students are able to complete the course in just one month.

This course is part of multiple professional development programs and can count towards earning: IBM AI Engineering Professional Certificate and Data Science Professional Certificate.

How Much Do I Need To Pay For This Course?

This course is available for free on Coursera.

Find out more about Machine Learning With Python.

Conclusion: Why Is Machine Learning Crucial To Break Into the AI Industry.

Machine learning allows us to automate tasks that would be impractical or impossible to do manually. It also enables computers to make decisions and perform tasks with a level of accuracy that far surpasses that of humans. 

In industries such as healthcare, finance, and retail, machine learning is used to make more informed decisions, improve efficiency, and drive business growth.

As the world becomes increasingly reliant on technology, the demand for skilled machine learning professionals is only going to continue to grow. If you’re interested in pursuing a career in this exciting field, now is the time to start learning and building your skills – and don’t forget to update your portfolio of professional tools by visiting webpages such as thereisanaiforthat.com!

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Please cite as:

Siddiqui, H. A.Bielczyk, N. (2023, March 14th). How To Break Into the AI Industry? Top 5 Best Machine Learning Courses Online. Retrieved from https://ontologyofvalue.com/best-machine-learning-courses-online/

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