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TensorFlow: Normalizing Flow Models
Generative models are a kind of statistical model that aims to learn the underlying data distribution itself. If a generative...
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Google Cloud Network Hybrid Connectivity
Different applications and workloads require different network connectivity solutions. Google supports multiple ways to connect your infrastructure to...
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Contract Law: Counteroffers, Irrevocable Offers, and Indefinite Terms
What happens when an offeree attempts to accept an offer while modifying the terms? In the case Minneapolis...
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Contract Law: Assent, Offer and Acceptance
Mutual Assent Mutual ascent describes an agreement between two parties that intend to form a contract. Parties often...
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Understanding Your Machine Learning Problems and Data
Recall in a previous course, we have introduced the Machine Learning Process Lifecycle (MLPL), simply put there are...
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Azure Management Tools and Security Solutions
Microsoft Azure offers a wide range of services to deploy your applications. To keep control of your environment...
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Microsoft Azure Core Concepts and Services
Cloud Computing Advantages There are several benefits that a Cloud environment has over a physical environment: High Availability Cloud-based...
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The Central Bank as a Clearinghouse
It is unusual to think about banking as a system of payments, and central banking as a clearing...
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TensorFlow: Probabilistic Deep Learning Models
Unfortunately, deep learning models aren’t always accurate, especially when asked to make predictions on new data points that are dissimilar to the...
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Google Cloud Big Data and Machine Learning Fundamentals
This course provides an introduction to the tools and technologies Google Cloud offers to work with large data sets...
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Contract Law: Consideration and Its Substitutes
Requirements Contracts & Output Contracts A requirements contract is a form of contract where a seller agrees to...
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Contract Law: Promise and Consideration
Recall that consideration is a traditional prerequisite for forming a contract. When it comes to a promise, the court...
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Distribution Objects in TensorFlow Probability
We’ll be making extensive use of the TensorFlow Probability library to help us develop probabilistic deep learning models. The...
![A basic communication system, Conditional independence, Markov subchain](https://kzhu.ai/wp-content/uploads/2022/08/Information-Theory-2.jpg)
Shannon’s Information Measures
Information theory is a subject with very rich intellectual contents, and it is somewhat philosophical. Information theory was...
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Contract Law: Unconscionability, Performance and Remedies
Unconscionability Can courts declined to enforce unconscionable contracts? And how to decide whether contracts are unconscionable? If the court...