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29 Best Data Analytics Certification Online Courses & Tutorials JA Directives

#artificialintelligence

Do you want to upgrade your skills with Best Data Analytics Certification Online to stand out in the industry? Here is a list of Best Data Analytics Courses Online, Training, Tutorials, and Classes to assist you to become a top Data Analyst. Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subjects in every sector for almost every industry. Learn business analytics to get hands-on knowledge of big data analytics, data visualization, data management, and data mining as an analytics professional. Majority of the business professionals are upgrading their skills with Best Data Analytics Training to standout in their industry.


Adobe's Experience Cloud now incorporates AI and machine learning

#artificialintelligence

Software giant Adobe announced the release of its new customer service tool called Adobe Experience Platform. The platform gives enterprises greater data governance capabilities, general access to Adobe's Customer Data Platform service, and avenues for more personalized and impactful customer interactions, the company said. Adobe has revamped Adobe Experience Cloud to incorporate its AI and machine learning platform, named Adobe Sensei. The service will help businesses with digital marketing, advertising, analytics, commerce and more. In a release, the company called Adobe Experience"the industry's first open and extensible platform that stitches data across the enterprise," and said it gave organizations the ability to map out the potential customer experience through "customer journey orchestrations."


29 Best Data Analytics Certification Online Courses & Tutorials JA Directives

#artificialintelligence

Do you want to upgrade your skills with Best Data Analytics Certification Online to stand out in the industry? Here is a list of Best Data Analytics Courses Online, Training, Tutorials, and Classes to assist you to become a top Data Analyst. Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subjects in every sector for almost every industry. Learn business analytics to get hands-on knowledge of big data analytics, data visualization, data management, and data mining as an analytics professional. Majority of the business professionals are upgrading their skills with Best Data Analytics Training to standout in their industry.


Privacy-Preserving Bandits

arXiv.org Machine Learning

Contextual bandit algorithms (CBAs) often rely on personal data to provide recommendations. This means that potentially sensitive data from past interactions are utilized to provide personalization to end-users. Using a local agent on the user's device protects the user's privacy, by keeping the data locally, however, the agent requires longer to produce useful recommendations, as it does not leverage feedback from other users. This paper proposes a technique we call Privacy-Preserving Bandits (P2B), a system that updates local agents by collecting feedback from other agents in a differentially-private manner. Comparisons of our proposed approach with a non-private, as well as a fully-private (local) system, show competitive performance on both synthetic benchmarks and real-world data. Specifically, we observed a decrease of 2.6% and 3.6% in multi-label classification accuracy, and a CTR increase of 0.0025 in online advertising for a privacy budget $\epsilon \approx$ 0.693. These results suggest P2B is an effective approach to problems arising in on-device privacy-preserving personalization.


Online Inference for Advertising Auctions

arXiv.org Machine Learning

Advertisers that engage in real-time bidding (RTB) to display their ads commonly have two goals: learning their optimal bidding policy and estimating the expected effect of exposing users to their ads. Typical strategies to accomplish one of these goals tend to ignore the other, creating an apparent tension between the two. This paper exploits the economic structure of the bid optimization problem faced by advertisers to show that these two objectives can actually be perfectly aligned. By framing the advertiser's problem as a multi-armed bandit (MAB) problem, we propose a modified Thompson Sampling (TS) algorithm that concurrently learns the optimal bidding policy and estimates the expected effect of displaying the ad while minimizing economic losses from potential sub-optimal bidding. Simulations show that not only the proposed method successfully accomplishes the advertiser's goals, but also does so at a much lower cost than more conventional experimentation policies aimed at performing causal inference.


A Contextual Bandit Algorithm for Ad Creative under Ad Fatigue

arXiv.org Machine Learning

Selecting ad creative is one of the most important task for DSPs (Demand-Side Platform) in online advertising. DSPs should not only consider the effectiveness of the ad creative but also the user's psychological status when selecting ad creative. In this study, we propose an efficient and easy-to-implement ad creative selection algorithm that explicitly considers wear-in and wear-out effects of ad creative due to the repetitive ad exposures. The proposed system was deployed in a real-world production environment and tested against the baseline. It out-performed the existing system in most of the KPIs.


A Batched Multi-Armed Bandit Approach to News Headline Testing

arXiv.org Machine Learning

--Optimizing news headlines is important for publishers and media sites. A compelling headline will increase readership, user engagement and social shares. At Y ahoo Front Page, headline testing is carried out using a test-rollout strategy: we first allocate equal proportion of the traffic to each headline variation for a defined testing period, and then shift all future traffic to the best-performing variation. In this paper, we introduce a multi-armed bandit (MAB) approach with batched Thompson Sampling (bTS) to dynamically test headlines for news articles. This method is able to gradually allocate traffic towards optimal headlines while testing. We evaluate the bTS method based on empirical impressions/clicks data and simulated user responses. The result shows that the bTS method is robust, converges accurately and quickly to the optimal headline, and outperforms the test-rollout strategy by 3.69% in terms of clicks. Headline testing is important for publishers and media sites. At Y ahoo Front Page, we follow a test-rollout strategy for headline testing.


Introduction to Multi-Armed Bandits

arXiv.org Artificial Intelligence

Multi-armed bandits a simple but very powerful framework for algorithms that make decisions over time under uncertainty. An enormous body of work has accumulated over the years, covered in several books and surveys. This book provides a more introductory, textbook-like treatment of the subject. Each chapter tackles a particular line of work, providing a self-contained, teachable technical introduction and a review of the more advanced results. The chapters are as follows: Stochastic bandits; Lower bounds; Bayesian Bandits and Thompson Sampling; Lipschitz Bandits; Full Feedback and Adversarial Costs; Adversarial Bandits; Linear Costs and Semi-bandits; Contextual Bandits; Bandits and Zero-Sum Games; Bandits with Knapsacks; Incentivized Exploration and Connections to Mechanism Design.


29 Best Data Analytics Certification Online Courses & Tutorials JA Directives

#artificialintelligence

Do you want to upgrade your skills with Best Data Analytics Certification Online to stand out in the industry? Here is a list of Best Data Analytics Courses Online, Training, Tutorials, and Classes to assist you to become a top Data Analyst. Now Big data, Data Science, Machine Learning, Deep Learning, Artificial Intelligence (AI), Analytics, Python, R, r-stats are the most trending and highly demanding subjects in every sector for almost every industry. Learn business analytics to get hands-on knowledge of big data analytics, data visualization, data management, and data mining as an analytics professional. Majority of the business professionals are upgrading their skills with Best Data Analytics Training to standout in their industry.


Q&A: Trifacta's Sachin Chawla on getting the most out of Big Data Internet of Business

#artificialintelligence

The insights offered by Big Data are key to many businesses today. Getting the information that's hidden within it isn't easy but there are plenty of companies set up to help organisations do just that. Trifacta is one such company. It specialises in cleaning and preparing data, ready for it to be mined for key information, or train machine learning algorithms. One of its key products, Cloud Dataprep, makes use of Google's large cloud infrastructure footprint, which puts the data preparation tool in the hands of all manner of companies.