Search result for Ai for everyone specialization Online Courses & Certifications
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The Art & Science of Product Management
by Nancy Wang- 4.6
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Approx. 11 hours to complete
The PM with an Eye for Design Opportunities for PM-Designer Collaboration PMing with AI and Machine Learning Sandy Carter 1 AI in Products Everywhere Sandy Carter 2 AI Success from Customer Obsession Sandy Carter 3 AI Success from Bias for Action Spot examples of how AI might supercharge your products or PM work....
AI Workflow: Data Analysis and Hypothesis Testing
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 11 hours to complete
This is the second course in the IBM AI Enterprise Workflow Certification specialization. Describe strategies for dealing with missing data Apply several methods for dealing with multiple testing This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
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
This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Setup for Machine Translation Evaluation for Machine Translation Evaluation for Machine Translation Motivation for Reversible Layers: Memory!...
AI Workflow: Enterprise Model Deployment
by Mark J Grover , Ray Lopez, Ph.D.- 4.2
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Approx. 9 hours to complete
This is the fifth course in the IBM AI Enterprise Workflow Certification specialization. This course introduces you to an area that few data scientists are able to experience: Deploying models for use in large enterprises. Apache Spark is a very commonly used framework for running machine learning models. Check for Understanding...
Python for Data Science, AI & Development
by Joseph Santarcangelo- 4.6
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Approx. 17 hours to complete
Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python fundamentals to drive business solutions across industries....
AI For Everyone （すべての人のためのAIリテラシー講座）
by Andrew NgTop Instructor , Yutaka Matsuo- 4.8
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Approx. 7 hours to complete
AIが提供している通常の「AI for Everyone」（オリジナルは英語）に、JDLAが制作し、松尾先生が講師を務める”DXとは何か”、”DXにおけるAIの重要性”、“日本におけるAI活用”を追加 した 特別版 となります。 AI にまつわる専門用語 AI プロジェクトの推進 AI と社会 AI と発展途上国 AI と仕事...
AI Workflow: Machine Learning, Visual Recognition and NLP
by Mark J Grover , Ray Lopez, Ph.D.- 4.5
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Approx. 14 hours to complete
This is the fourth course in the IBM AI Enterprise Workflow Certification specialization. Describe common strategies for grid searching and cross-validation Employ evaluation metrics to select models for production use This course targets existing data science practitioners that have expertise building machine learning models, who want to deepen their skills on building and deploying AI in large enterprises....
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DeepLearning.AI TensorFlow Developer Professional Certificate
- 0.0
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AI TensorFlow Developer Professional Certificate program teaches you applied machine learning skills with TensorFlow so you can build and train powerful models. This program can help you prepare for the Google TensorFlow Certificate exam and bring you one step closer to achieving the Google TensorFlow Certificate. Looking to customize and build powerful real-world models for complex scenarios?...
Artificial Intelligence on Microsoft Azure
by Microsoft- 4.7
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Approx. 4 hours to complete
This course will help you prepare for Exam AI-900: Microsoft Azure AI Fundamentals. Microsoft Azure AI Fundamentals can be used to prepare for other Azure role-based certifications like Microsoft Azure Data Scientist Associate or Microsoft Azure AI Engineer Associate, but it is not a prerequisite for any of them. Introduction to the AI Fundamentals program...
Introduction to Machine Learning in Production
by Andrew NgTop Instructor , Cristian Bartolomé ArámburuTop Instructor- 4.8
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Approx. 10 hours to complete
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application....
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