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Best Machine Learning Specializations on Coursera
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Start your ML journey by enrolling in these best machine learning specializations on Coursera!
The science of getting computers to act without being explicitly programmed is known as machine learning. Self-driving cars, realistic speech recognition, successful web search, and a much enhanced understanding of the human genome have all been made possible by machine learning in the last decade. Machine learning is now so common that you probably use it thousands of times per day without even realising it. That is why learning about ML (Machine Learning) can be a vital part in your career.
Below, you can find a list of the best machine learning specializations on Coursera that has multiple courses with which you can start your Machine Learning journey. And you can get all the courses for absolutely free!!
10 Best Machine Learning Specializations ft. Coursera
1. Deep Learning Specialization
In this specialization, you will learn to build and train neural network architectures such as Convolutional Neural Networks, Recurrent Neural Networks, LSTMs, Transformers, and learn how to make them better with strategies such as Dropout, BatchNorm, Xavier/He initialization, and more.
No. of Courses: 5
Offered by: DeepLearning.AI
2. DeepLearning.AI TensorFlow Developer Professional Certificate
In this program, you’ll learn the necessary tools to build scalable AI-powered applications with TensorFlow. After finishing this program, you’ll be able to apply your new TensorFlow skills to a wide range of problems and projects.
No. of Courses: 4
Offered by: DeepLearning.AI
3. Mathematics for Machine Learning Specialization
For a lot of higher level courses in Machine Learning and Data Science, you find you need to freshen up on the basics in mathematics – stuff you may have studied before in school or university, but which was taught in another context, or not very intuitively, such that you struggle to relate it to how it’s used in Computer Science. This specialization aims to bridge that gap, getting you up to speed in the underlying mathematics, building an intuitive understanding, and relating it to Machine Learning and Data Science.
No. of Courses: 3
Offered by: Imperial College London
4. Advanced Machine Learning
This specialization gives an introduction to deep learning, reinforcement learning, natural language understanding, computer vision and Bayesian methods. Top Kaggle machine learning practitioners and CERN scientists will share their experience of solving real-world problems and help you to fill the gaps between theory and practice. Upon completion of 7 courses you will be able to apply modern machine learning methods in enterprise and understand the caveats of real-world data and settings.
No. of Courses: 7
Offered by: HSE University
5. Data Engineering, Big Data, and Machine Learning on GCP Specialization
This program provides the skills you need to advance your machine learning career and provides training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification.
No. of Courses: 5
Offered by: Google Cloud
6. Natural Language Processing Specialization
By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future.
No. of Courses: 4
Offered by: DeepLearning.AI
7. Applied Data Science Specialization
This specialization will give you the tools you need to analyze data and make data driven business decisions leveraging computer science and statistical analysis. You will learn Python–no prior programming knowledge necessary–and discover methods of data analysis and data visualization. You’ll utilize tools used by real data scientists like Numpy and Pandas, practice predictive modeling and model selection, and learn how to tell a compelling story with data to drive decision making.
No. of Courses: 5
Offered by: IBM
8. Machine Learning with TensorFlow on Google Cloud Platform
Learn how to write distributed machine learning models that scale in Tensorflow, scale out the training of those models and offer high-performance predictions. Convert raw data to features in a way that allows ML to learn important characteristics from the data and bring human insight to bear on the problem. Finally, learn how to incorporate the right mix of parameters that yields accurate, generalized models and knowledge of the theory to solve specific types of ML problems. You will experiment with end-to-end ML, starting from building an ML-focused strategy and progressing into model training, optimization, and productionalization with hands-on labs using Google Cloud Platform.
No. of Courses: 5
Offered by: Google Cloud
9. Machine Learning Specialization
This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you will gain applied experience in major areas of Machine Learning including Prediction, Classification, Clustering, and Information Retrieval. You will learn to analyze large and complex datasets, create systems that adapt and improve over time, and build intelligent applications that can make predictions from data.
No. of Courses: 4
Offered by: University of Washington
10. Reinforcement Learning Specialization
By the end of this Specialization, you will understand the foundations of much of modern probabilistic artificial intelligence (AI) and be prepared to take more advanced courses or to apply AI tools and ideas to real-world problems. This content will focus on “small-scale” problems in order to understand the foundations of Reinforcement Learning, as taught by world-renowned experts at the University of Alberta, Faculty of Science.
No. of Courses: 4
Offered by: University of Alberta
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Disclaimer: This blog is NOT sponsored. Some product links are affiliate links which means if you buy through those links, you won’t pay anything extra and I’ll also receive a small commission on a purchase.
