Search result for Building and training machine learning models Online Courses & Certifications
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Artificial Intelligence Data Fairness and Bias
by Brent Summers- 4.9
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Approx. 6 hours to complete
In this course, we will explore fundamental issues of fairness and bias in machine learning. As predictive models begin making important decisions, from college admission to loan decisions, it becomes paramount to keep models from making unfair predictions. Fairness and protections in machine learning Building fair models: theory and practice Building an exploratory training set...
Introduction to Trading, Machine Learning & GCP
by Jack Farmer , Ram Seshadri- 4
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Approx. 9 hours to complete
By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks. Supervised Learning and Regression Welcome to Introduction to Trading, Machine Learning and GCP AI and Machine Learning Introduction to Neural Networks and Deep Learning Validation and Training Data Splits...
Browser-based Models with TensorFlow.js
by Laurence Moroney- 4.7
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Approx. 17 hours to complete
Bringing a machine learning model into the real world involves a lot more than just modeling. This Specialization will teach you how to navigate various deployment scenarios and use data more effectively to train your model. In this first course, you’ll train and run machine learning models in any browser using TensorFlow. Transfer Learning with Pre-Trained Models...
Applying Machine Learning to your Data with GCP
by Google Cloud Training- 4.7
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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...
Production Machine Learning Systems
by Google Cloud Training- 4.6
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Approx. 8 hours to complete
In the second course of this specialization, we will dive into the components and best practices of a high-performing ML system in production environments. Prerequisites: Basic SQL, familiarity with Python and TensorFlow The Components of an ML System: Tuner + Model Evaluation and Validation Training Design Decisions Machine Learning on Hybrid Cloud...
Machine Learning with Python
by SAEED AGHABOZORGI , Joseph Santarcangelo- 4.7
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Approx. 21 hours to complete
This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. First, you will be learning about the purpose of Machine Learning and where it applies to the real world. Second, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning, model evaluation, and Machine Learning algorithms....
Natural Language Processing with Attention Models
by Younes Bensouda Mourri , Łukasz Kaiser , Eddy Shyu- 4.4
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Approx. 31 hours to complete
c) Use T5 and BERT models to perform question-answering, and 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. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning....
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Introduction to Machine Learning
by Lawrence Carin , David Carlson , Timothy Dunn , Kevin Liang- 4.7
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Approx. 26 hours to complete
This course will provide you a foundational understanding of machine learning models (logistic regression, multilayer perceptrons, convolutional neural networks, natural language processing, etc. Simple Introduction to Machine Learning Deep Learning and Transfer Learning Intro to Machine Learning Transfer Learning and Fine-Tuning Limitations of Q Learning, and Introduction to Deep Q Learning...
The Power of Machine Learning: Boost Business, Accumulate Clicks, Fight Fraud, and Deny Deadbeats
by Eric Siegel- 4.8
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Approx. 14 hours to complete
In order to serve both types, this course goes further than typical machine learning courses, which cover only the technical foundations and core quantitative techniques. – How launching machine learning – aka predictive analytics – improves marketing, financial services, fraud detection, and many other business operations DEMO - Training and comparing multiple models (optional)...
Practical Machine Learning by Example in Python
by Madhu Siddalingaiah- 0.0
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8 hours on-demand video
A Deep Dive into Building Machine Learning and Deep Learning models Are you a developer interested in building machine learning and deep learning models? the models explained here are basic and thus perfect for beginners ,to understand how machine learning models are created based on the given problem and about techniques used to improve the accuracy....
$12.99
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