Search result for How to learn machine learning Online Courses & Certifications
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Natural Language Processing
by Luis Serrano , Jay Alammar , Arpan Chakraborty , Dana Sheahen- 0.0
3 Months
Learn cutting-edge natural language processing techniques to process speech and analyze text. Build probabilistic and deep learning models, such as hidden Markov models and recurrent neural networks, to teach the computer to do tasks such as speech recognition, machine translation, and more! Build models using probabilistic and deep learning techniques and apply them to speech recognition, machine translation, and more!...
Data for Machine Learning
by Anna Koop- 4.4
Approx. 12 hours to complete
This course is all about data and how it is critical to the success of your applied machine learning model. This is the third course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute. Machine Learning Process Lifecycle Review Match Data to the needs of the learning Algorithm...
Art and Science of Machine Learning
by Google Cloud Training- 4.6
Approx. 19 hours to complete
Welcome to the Art and Science of machine learning. You will learn how to generalize your model using Regularization techniques and about the effects of hyperparameters such as batch size and learning rate on model performance. We’ll cover some of the most common model optimization algorithms and show you how to specify an optimization method in your TensorFlow code....
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 Intro to Machine Learning...
Using SAS Viya REST APIs with Python and R
by Jordan Bakerman , Ari Zitin- 0.0
Approx. 18 hours to complete
In this course, you’ll learn how to use the SAS Viya APIs to take control of SAS Cloud Analytic Services from a Jupyter Notebook using R or Python. You’ll learn how to create both machine learning and deep learning models to tackle a variety of data sets and complex problems. Machine Learning...
Innovating with Data and Google Cloud
by Google Cloud Training- 4.9
Approx. 2 hours to complete
In this course, you'll learn what data is, historical ways companies have used it to make decisions, and why it is so critical for machine learning. How to Send Feedback Migrating your data to the cloud Module 3: Innovation with Machine Learning 03: Innovation with Machine Learning Identify Google Cloud’s solutions for Machine Learning and AI...
Machine Learning Under the Hood: The Technical Tips, Tricks, and Pitfalls
by Eric Siegel- 4.8
Approx. 17 hours to complete
If you want to participate in the deployment of machine learning (aka predictive analytics), you've got to learn how it works. – How to pick a tool, selecting from the many machine learning software options Machine learning software: how tools vary and how to choose one Machine learning software: how tools vary and how to choose one...
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Guided Tour of Machine Learning in Finance
by Igor Halperin- 3.8
Approx. 24 hours to complete
Supervised Machine Learning methods are used in the capstone project to predict bank closures. The goal of Guided Tour of Machine Learning in Finance is to get a sense of what Machine Learning is, what it is for and in how many different financial problems it can be applied to. Machine Learning as a Foundation of Artificial Intelligence, Part I...
Optimizing Machine Learning Performance
by Anna Koop- 4.6
Approx. 12 hours to complete
You will now walk through a complete machine learning project to prepare a machine learning maintenance roadmap. You will understand and define procedures to operationalize and maintain your applied machine learning model. This is the final course of the Applied Machine Learning Specialization brought to you by Coursera and the Alberta Machine Intelligence Institute (Amii)....
Big Data Applications: Machine Learning at Scale
by Alexey A. Dral , Vladimir Lesnichenko , Evgeny Frolov , Ilya Trofimov , Pavel Mezentsev , Emeli Dral- 3.8
Approx. 28 hours to complete
Machine learning is transforming the world around us. To become successful, you’d better know what kinds of problems can be solved with machine learning, and how they can be solved. - learn how to work with texts; With these skills, you will be able to tackle many practical machine learning tasks. Introduction to large scale machine learning...