Search result for Stanford machine learning course Online Courses & Certifications
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Data Wrangling with Python
by Packt Publishing- 3.6
3.5 hours on-demand video
Samik Sen is currently working with R on Machine Learning. from the University of Illinois and certifications in Artificial Intelligence and Machine learning from Stanford and MIT. He holds a master's degree in computer science from West Bengal University Of Technology and certifications in machine learning from Stanford....
$9.99
Applied Machine Learning in Python
by Kevyn Collins-Thompson- 4.6
Approx. 34 hours to complete
This course will introduce the learner to applied machine learning, focusing more on the techniques and methods than on the statistics behind these methods. The course will start with a discussion of how machine learning is different than descriptive statistics, and introduce the scikit learn toolkit through a tutorial. Key Concepts in Machine Learning...
Applying Machine Learning to your Data with GCP
by Google Cloud Training- 4.7
Approx. 10 hours to complete
In this module, we define what Machine Learning is and how it can benefit your business. In the interactive labs, you will practice invoking the pretrained ML APIs available as well as build your own Machine Learning models using just SQL with BigQuery ML. Introduction to Machine Learning Introduction to Machine Learning...
End-to-End Machine Learning with TensorFlow on GCP
by Google Cloud Training- 4.5
Approx. 13 hours to complete
In the first course of this specialization, we will recap what was covered in the Machine Learning with TensorFlow on Google Cloud Platform Specialization (https://www. So, this course is set up as a workshop and in this workshop, you will do End-to-End Machine Learning with TensorFlow on Google Cloud Platform Machine Learning (ML) on Google Cloud Platform (GCP)...
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
Approx. 31 hours to complete
This course is for students of machine learning or artificial intelligence as well as software engineers looking for a deeper understanding of how NLP models work and how to apply them. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Neural Machine Translation...
Machine Learning A-Z: Logistic Regression Using Python ©
by AI Sciences- 4.1
8.5 hours on-demand video
This comprehensive course will be your guide to learning how to use the power of Python to train your machine such that your machine starts learning just like human and based on that learning, your machine starts making predictions as well! This course is for you if you want to learn how to program in Python for Machine Learning...
$12.99
Introduction to Applied Machine Learning
by Anna Koop- 4.7
Approx. 7 hours to complete
This course is for professionals who have heard the buzz around machine learning and want to apply machine learning to data analysis and automation. Whether finance, medicine, engineering, business or other domains, this course will introduce you to problem definition and data preparation in a machine learning project. The Machine Learning Process...
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Launching Machine Learning: Delivering Operational Success with Gold Standard ML Leadership
by Eric Siegel- 4.9
Approx. 14 hours to complete
Machine learning runs the world. This course will guide you to lead or participate in the end-to-end implementation of machine learning (aka predictive analytics). Whether you'll participate on the business or tech side of a machine learning project, this course delivers essential, pertinent know-how. Course overview: Launching Machine Learning Sourcing the staff for a machine learning project...
Probabilistic Graphical Models 3: Learning
by Daphne Koller- 4.6
Approx. 66 hours to complete
They are also a foundational tool in formulating many machine learning problems. The course discusses the key problems of parameter estimation in both directed and undirected models, as well as the structure learning task for directed models. Review of Machine Learning Concepts from Prof. Andrew Ng's Machine Learning Class (Optional) Learning in Parametric Models...
AWS Computer Vision: Getting Started with GluonCV
by Thom LaneTop Instructor , Thomas DelteilTop Instructor , Soji AdeshinaTop Instructor- 4.6
Approx. 31 hours to complete
This course provides an overview of Computer Vision (CV), Machine Learning (ML) with Amazon Web Services (AWS), and how to build and train a CV model using the Apache MXNet and GluonCV toolkit. The course is comprised of video lectures, hands-on exercise guides, demonstrations, and quizzes. Module 2: Machine Learning on AWS AWS Machine Learning Stack Data in Machine Learning...