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Category: Quick Recap

TensorFlow: Normalizing Flow Models

Posted on October 3, 2022November 10, 2022 by keslerzhu

Generative models are a kind of statistical model that aims to learn the underlying data distribution itself. If a generative model is able to capture the underlying distribution of the data well, then it’s able to produce new instances that could plausibly have come from the same dataset. You could use for anomaly detection, telling you whether a given instance…

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Google Cloud Network Hybrid Connectivity

Posted on October 1, 2022January 5, 2024 by keslerzhu

Different applications and workloads require different network connectivity solutions. Google supports multiple ways to connect your infrastructure to GCP. Hybrid Connectivity Dedicated connection(direct to Google) ⟺ Shared connection(through a partner) Layer 3(uses public IP) Direct Peering10 Gbps / link Cloud VPN1.5-3 Gbps / tunnel Carrier PeeringSpeed depends on partner Layer 2(uses VLAN) Dedicated interconnect10 –…

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Contract Law: Counteroffers, Irrevocable Offers, and Indefinite Terms

Posted on September 28, 2022October 19, 2022 by keslerzhu

What happens when an offeree attempts to accept an offer while modifying the terms? In the case Minneapolis & St. Louis Railway v. Columbus Rolling-Mill, the court held that, “A proposal to accept, or an acceptance, upon terms varying from those offered, is a rejection of the offer, and puts an end to the negotiation,…

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Contract Law: Assent, Offer and Acceptance

Posted on September 23, 2022October 19, 2022 by keslerzhu

Mutual Assent Mutual ascent describes an agreement between two parties that intend to form a contract. Parties often have extensive negotiations before signing the contract. These negotiations happen over time that are subject to the parties’ choice and are not predetermined by law or circumstance. Individuals don’t have to be bound by contractual promises unless…

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Understanding Your Machine Learning Problems and Data

Posted on September 19, 2022December 9, 2022 by keslerzhu

Recall in a previous course, we have introduced the Machine Learning Process Lifecycle (MLPL), simply put there are four stages: Business Understanding and Problem Discovery Data Acquisition and Understanding ML Modeling and Evaluation Delivery and Acceptance These phases are iterative, you can’t skip ahead. A good, clear problem definition is important. Business Understanding and Problem…

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Azure Management Tools and Security Solutions

Posted on September 7, 2022December 3, 2022 by keslerzhu

Microsoft Azure offers a wide range of services to deploy your applications. To keep control of your environment and to make deployments easier, it also offers a wide array of management tools and services. AI Services AI is a broad classification of computing that allows a software system to perceive its environment and take actions that maximizes its…

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Microsoft Azure Core Concepts and Services

Posted on September 1, 2022December 3, 2022 by keslerzhu

Cloud Computing Advantages There are several benefits that a Cloud environment has over a physical environment: High Availability Cloud-based applications can provide a continuous user-experience with no apparent downtime. Scalability Applications in the Cloud can be scaled in two ways:1) Vertically: adding RAM or CPUs to a virtual machine. 2) Horizontally: adding instances of a resource, say, virtual machines to…

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The Central Bank as a Clearinghouse

Posted on August 31, 2022May 14, 2023 by keslerzhu

It is unusual to think about banking as a system of payments, and central banking as a clearing house. One big picture idea is to think of all of the institutions in monetary system as an attempt to make the system work as if it were one big bank, instead of a bunch of little banks. The One…

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TensorFlow: Probabilistic Deep Learning Models

Posted on August 30, 2022November 10, 2022 by keslerzhu

Unfortunately, deep learning models aren’t always accurate, especially when asked to make predictions on new data points that are dissimilar to the data that they were trained on. The insight here is that it’s important to models to be able to assign higher levels of uncertainty to incorrect predictions. We want our deep learning models to know what they don’t know. The probabilistic…

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Google Cloud Big Data and Machine Learning Fundamentals

Posted on August 27, 2022July 17, 2023 by keslerzhu

This course provides an introduction to the tools and technologies Google Cloud offers to work with large data sets and then integrate that data into the artificial intelligence and machine learning lifecycle. Data is the foundation of every application integrated with artificial intelligence. Without data, there is nothing for AI to learn from, no pattern to recognize, and no…

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Contract Law: Consideration and Its Substitutes

Posted on August 25, 2022November 7, 2022 by keslerzhu

Requirements Contracts & Output Contracts A requirements contract is a form of contract where a seller agrees to supply all of a purchaser’s requirements in exchange for a promise that the purchaser will buy exclusively from that seller.  An output contract is, in a sense, the reverse situation. A buyer agrees to purchase all of the supplier’s…

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Contract Law: Promise and Consideration

Posted on August 19, 2022March 5, 2024 by keslerzhu

Recall that consideration is a traditional prerequisite for forming a contract. When it comes to a promise, the court might find that there was consideration, like in the classic chestnut of case Hamer vs Sidway. However in the case Kirksey vs Kirksey, the court considered a promise that lacked consideration, which is called a gratuitous promise….

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Distribution Objects in TensorFlow Probability

Posted on August 15, 2022November 10, 2022 by keslerzhu

We’ll be making extensive use of the TensorFlow Probability library to help us develop probabilistic deep learning models. The distribution objects from the library are the vital building blocks because they capture the essential operations on probability distributions. We are going to use them when building probabilistic deep learning models in TensorFlow. Univariate Distributions Within the tfp…

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A basic communication system, Conditional independence, Markov subchain

Shannon’s Information Measures

Posted on August 15, 2022June 17, 2023 by keslerzhu

Information theory is a subject with very rich intellectual contents, and it is somewhat philosophical. Information theory was founded by Bell Telephone Laboratory scientist Claude Shannon, with the seminal paper “The Mathematical Theory of Communication” in 1948. Information theory studies fundamental limits in communications, in the form of transmission, storage, etc. There are two key…

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Contract Law: Unconscionability, Performance and Remedies

Posted on August 12, 2022October 24, 2022 by keslerzhu

Unconscionability Can courts declined to enforce unconscionable contracts? And how to decide whether contracts are unconscionable? If the court finds as a matter of law… any clause of the contract to have been unconscionable at the time it was made, the court may refuse to enforce the contract… Uniform Commercial Code, 2-203 According to the UCC, the…

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American Contract Law I Andrew Ng Anna Koop Brenda Gunderson Christopher Millard Computer Communications Specialization Cryptography Economics of Money and Banking Evgenii Vashukevich Garud Iyengar Ivan Vybornyi Jeffrey Chasnov John Daily Jonathan Katz Kevin Webster Ling-Chieh Kung Machine Learning: Algorithms in the Real World Martin Haugh Mathematics for Engineers Specialization Matthew Hutchens Michael Donohoe Michael Fricke Microsoft Azure Fundamentals AZ-900 Exam Prep Specialization Operations Research (3): Theory Perry Mehrling Petro Lisowsky Physical Basics of Quantum Computing Practical Reinforcement Learning Rebekah May Search Engine Optimization (SEO) Specialization Sergey Sysoev Statistical Thermodynamics Specialization Statistics with Python Specialization Taxation of Business Entities I: Corporations TensorFlow 2 for Deep Learning Specialization U.S. Federal Taxation Specialization Wounjhang Park Xiaobo Zhou Yi Wang Сысоев Сергей Сергеевич

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