59 skills found · Page 1 of 2
strengejacke / SjstatsEffect size measures and significance tests
google-research / Rl Reliability MetricsThe RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.
Dicklesworthstone / Hoeffdings D ExplainerA Detailed Introduction to My Favorite Statistical Measure, Hoeffding's D
isaac-sim2real / SageFramework for measuring sim-to-real gaps in robot joint motions. Supports different humanoids with physics simulation, real hardware data collection, and statistical analysis.
glevv / Obscure StatsA small collection of lesser-known statistical measures
PierreColombo / Nlg Eval Via Simi MeasuresNLG evaluation via Statistical Measures of Similarity: BaryScore, DepthScore, InfoLM
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They work, but they work by brute force." (p. 198.) Domingos, Pedro, "Our Digital Doubles: AI will serve our species, not control it", Scientific American, vol. 319, no. 3 (September 2018), pp. 88–93. Gopnik, Alison, "Making AI More Human: Artificial intelligence has staged a revival by starting to incorporate what we know about how children learn", Scientific American, vol. 316, no. 6 (June 2017), pp. 60–65. Johnston, John (2008) The Allure of Machinic Life: Cybernetics, Artificial Life, and the New AI, MIT Press. Koch, Christof, "Proust among the Machines", Scientific American, vol. 321, no. 6 (December 2019), pp. 46–49. Christof Koch doubts the possibility of "intelligent" machines attaining consciousness, because "[e]ven the most sophisticated brain simulations are unlikely to produce conscious feelings." (p. 48.) According to Koch, "Whether machines can become sentient [is important] for ethical reasons. If computers experience life through their own senses, they cease to be purely a means to an end determined by their usefulness to... humans. Per GNW [the Global Neuronal Workspace theory], they turn from mere objects into subjects... with a point of view.... Once computers' cognitive abilities rival those of humanity, their impulse to push for legal and political rights will become irresistible – the right not to be deleted, not to have their memories wiped clean, not to suffer pain and degradation. The alternative, embodied by IIT [Integrated Information Theory], is that computers will remain only supersophisticated machinery, ghostlike empty shells, devoid of what we value most: the feeling of life itself." (p. 49.) Marcus, Gary, "Am I Human?: Researchers need new ways to distinguish artificial intelligence from the natural kind", Scientific American, vol. 316, no. 3 (March 2017), pp. 58–63. A stumbling block to AI has been an incapacity for reliable disambiguation. An example is the "pronoun disambiguation problem": a machine has no way of determining to whom or what a pronoun in a sentence refers. (p. 61.) E McGaughey, 'Will Robots Automate Your Job Away? Full Employment, Basic Income, and Economic Democracy' (2018) SSRN, part 2(3) Archived 24 May 2018 at the Wayback Machine. George Musser, "Artificial Imagination: How machines could learn creativity and common sense, among other human qualities", Scientific American, vol. 320, no. 5 (May 2019), pp. 58–63. Myers, Courtney Boyd ed. (2009). "The AI Report" Archived 29 July 2017 at the Wayback Machine. Forbes June 2009 Raphael, Bertram (1976). The Thinking Computer. W.H.Freeman and Company. ISBN 978-0-7167-0723-3. Archived from the original on 26 July 2020. Retrieved 22 August 2020. Scharre, Paul, "Killer Apps: The Real Dangers of an AI Arms Race", Foreign Affairs, vol. 98, no. 3 (May/June 2019), pp. 135–44. "Today's AI technologies are powerful but unreliable. Rules-based systems cannot deal with circumstances their programmers did not anticipate. Learning systems are limited by the data on which they were trained. AI failures have already led to tragedy. Advanced autopilot features in cars, although they perform well in some circumstances, have driven cars without warning into trucks, concrete barriers, and parked cars. In the wrong situation, AI systems go from supersmart to superdumb in an instant. When an enemy is trying to manipulate and hack an AI system, the risks are even greater." (p. 140.) Serenko, Alexander (2010). "The development of an AI journal ranking based on the revealed preference approach" (PDF). Journal of Informetrics. 4 (4): 447–459. doi:10.1016/j.joi.2010.04.001. Archived (PDF) from the original on 4 October 2013. Retrieved 24 August 2013. Serenko, Alexander; Michael Dohan (2011). "Comparing the expert survey and citation impact journal ranking methods: Example from the field of Artificial Intelligence" (PDF). Journal of Informetrics. 5 (4): 629–649. doi:10.1016/j.joi.2011.06.002. Archived (PDF) from the original on 4 October 2013. Retrieved 12 September 2013. Sun, R. & Bookman, L. (eds.), Computational Architectures: Integrating Neural and Symbolic Processes. Kluwer Academic Publishers, Needham, MA. 1994. Tom Simonite (29 December 2014). "2014 in Computing: Breakthroughs in Artificial Intelligence". MIT Technology Review. Tooze, Adam, "Democracy and Its Discontents", The New York Review of Books, vol. LXVI, no. 10 (6 June 2019), pp. 52–53, 56–57. "Democracy has no clear answer for the mindless operation of bureaucratic and technological power. We may indeed be witnessing its extension in the form of artificial intelligence and robotics. Likewise, after decades of dire warning, the environmental problem remains fundamentally unaddressed.... Bureaucratic overreach and environmental catastrophe are precisely the kinds of slow-moving existential challenges that democracies deal with very badly.... Finally, there is the threat du jour: corporations and the technologies they promote." (pp. 56–57.)
anenglishgoat / Metrica Pitch ControlA python implementation of the paper Wide Open Spaces: A statistical technique for measuring space creation in professional soccer
cvborkulo / NetworkComparisonTestStatistical comparison of two networks with respect to three invariance measures
JuliaAI / StatisticalMeasures.jlMeasures (metrics) for statistics and machine learning
OGFris / GoStatsGoStats is a go library for math statistics mostly used in ML domains, it covers most of the statistical measures functions.
oneoffcoder / Py PairPairwise association measures of statistical variable types
farzadasgari / ProadvProADV is a Python package designed for efficient processing and analysis of acoustic Doppler velocimeter (ADV) data. It offers advanced cleaning algorithms for robust despiking and noise removal, comprehensive statistical functions for calculating essential measures, and further analysis capabilities.
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If we combine such non-personal information with other information to identify a particular natural person or use it in conjunction with personal information, such non-personal information will be treated as personal information during the combined use, except for your authorization. Or as otherwise provided by laws and regulations, we will anonymize and de-identify such personal information. When you contact us, we may save information such as your communication/call history and content or the contact information you left in order to contact you or help you solve the problem or to document the resolution and results of the problem. 3、Your personal information collected through indirect access You can use the products or services provided by our affiliates through the link of the platform provided by our platform account. In order to facilitate our one-stop service based on the linked accounts and facilitate your unified management, we will show you on this platform. Information or recommendations for information you are interested in, including information from live broadcasts and games. You can discover and use the above services through the homepage of the platform, "More" and other functions. When you use the above services through our products or services, you authorize us to receive, aggregate, and analyze from our affiliates based on actual business and cooperation needs, we confirm that their source is legal or that you authorize to consent to your personal information provided to us or Trading Information. If you refuse to provide the above information or refuse to authorize, you may not be able to use the corresponding products or services of our affiliates, or can not display relevant information, but does not affect the use of the platform to browse, chat, release dynamics and other core services. （四）Provide you with security Please note that in order to ensure the authenticity of the user's identity and provide you with better security, you can provide us with identification information such as identity card, military officer's card, passport, driver's license, social security card, residence permit, facial identification, and other biometric information. Personally sensitive information such as Sesame Credit and other real-name certifications. If you refuse to provide the above information, you may not be able to use services such as account management, live broadcast, and continuing risky transactions, but it will not affect your use of browsing, chat and other services. To improve the security of your services provided by us and our affiliates and partners, protect the personal and property of you or other users or the public from being compromised, and better prevent phishing websites, fraud, network vulnerabilities, computer viruses, cyber attacks , security risks such as network intrusion, more accurately identify violations of laws and regulations or the relevant rules of the platform, we may use or integrate your user information, transaction information, equipment information, related web logs and our affiliates, partners to obtain You authorize or rely on the information shared by law to comprehensively judge your account and transaction risks, conduct identity verification, detect and prevent security incidents, and take necessary records, audits, analysis, and disposal measures in accordance with the law. （五）Other uses When we use the information for other purposes not covered by this policy, or if the information collected for a specific purpose is used for other purposes, you will be asked for your prior consent. （六）Exception for authorization of consent According to relevant laws and regulations, collecting your personal information in the following situations does not require your authorized consent: 1、Related to national security and national defense security； 2、Related to public safety, public health, and major public interests； 3、Related to criminal investigation, prosecution, trial and execution of judgments, etc.； 4、It is difficult to obtain your own consent for the maintenance of the important legal rights of the personal information or other individuals’ lives and property； 5、The personal information collected is disclosed to the public by yourself; 二、How do we use cookies and similar technologies? （一）Cookies To ensure that your site is up and running, to give you an easier access experience, and to recommend content that may be of interest to you, we store a small data file called a cookie on your computer or mobile device. Cookies usually contain an identifier, a site name, and some numbers and characters. With cookies, websites can store data such as your preferences. （二）Website Beacons and Pixel Labels In addition to cookies, we use other technologies like web beacons and pixel tags on our website. For example, the email we send to you may contain an address link to the content of our website. If you click on the link, we will track the click to help us understand your product or service preferences so that we can proactively improve customer service. Experience. A web beacon is usually a transparent image that is embedded in a website or email. With the pixel tags in the email, we can tell if the email is open. If you don't want your event to be tracked this way, you can unsubscribe from our mailing list at any time. 三、How do we share, transfer, and publicly disclose your personal information? （一）shared We do not share your personal information with companies, organizations, and individuals other than the platform's service providers, with the following exceptions: 1、Sharing with explicit consent: We will share your personal information with others after obtaining your explicit consent. 2、Sharing under statutory circumstances: We may share your personal information in accordance with laws and regulations, litigation dispute resolution needs, or in accordance with the requirements of the administrative and judicial authorities. 3. Sharing with affiliates: In order to facilitate our services to you based on linked accounts, we recommend information that may be of interest to you or protect the personal property of affiliates or other users or the public of this platform from being infringed. Personal information may be shared with our affiliates. We will only share the necessary personal information (for example, to facilitate the use of our affiliated company products or services, we will share your necessary account information with affiliates) if we share your personal sensitive information or affiliate changes The use of personal information and the purpose of processing will be re-examined for your authorization. 4. Sharing with Authorized Partners: For the purposes stated in this Privacy Policy, some of our services will be provided by us and our authorized partners. We may share some of your personal information with our partners to provide better customer service and user experience. For example, arrange a partner to provide services. We will only share your personal information for legitimate, legitimate, necessary, specific, and specific purposes, and will only share the personal information necessary to provide the service. Our partners are not authorized to use shared personal information for other purposes unrelated to the product or service. Currently, our authorized partners include the following types: (2) Suppliers, service providers and other partners. We send information to suppliers, service providers and other partners who support our business, including providing technical infrastructure services, analyzing how our services are used, measuring the effectiveness of advertising and services, providing customer service, and facilitating payments. Or conduct academic research and investigations. (1) Authorized partners in advertising and analytics services. We will not use your personally identifiable information (information that identifies you, such as your name or email address, which can be used to contact you or identify you) and provide advertising and analytics services, unless you have your permission. Shared by partners. We will provide these partners with information about their advertising coverage and effectiveness, without providing your personally identifiable information, or we may aggregate this information so that it does not identify you personally. For example, we’ll only tell advertisers how effective their ads are when they agree to comply with our advertising guidelines, or how many people see their ads or install apps after seeing ads, or work with them. Partners provide statistical information that does not identify individuals (eg “male, 25-29 years old, in Beijing”) to help them understand their audience or customers. For companies, organizations and individuals with whom we share personal information, we will enter into strict data protection agreements with them to process individuals in accordance with our instructions, this Privacy Policy and any other relevant confidentiality and security measures. information. (2) Transfer We do not transfer your personal information to any company, organization or individual, except: Transfer with the express consent: After obtaining your explicit consent, we will transfer your personal information to other parties; 2, in the case of mergers, acquisitions or bankruptcy liquidation, or other circumstances involving mergers, acquisitions or bankruptcy liquidation, if it involves the transfer of personal information, we will require new companies and organizations that hold your personal information to continue to receive This policy is bound, otherwise we will ask the company, organization and individual to re-seek your consent. (3) Public disclosure We will only publicly disclose your personal information in the following circumstances: We may publicly disclose your personal information by obtaining your explicit consent or based on your active choice; 2, if we determine that you have violated laws and regulations or serious violations of the relevant rules of the platform, or to protect the personal safety of the platform and its affiliates users or the public from infringement, we may be based on laws and regulations or The relevant agreement rules of this platform disclose your personal information, including related violations, and the measures that the platform has taken against you, with your consent. (4) Exceptions for prior authorization of consent when sharing, transferring, and publicly disclosing personal information In the following situations, sharing, transferring, and publicly disclosing your personal information does not require prior authorization from you: Related to national security and national defense security; Related to public safety, public health, and major public interests; 3, related to criminal investigation, prosecution, trial and judgment execution; 4, in order to protect your or other individuals' life, property and other important legal rights but it is difficult to get my consent; Personal information that you disclose to the public on your own; Collect personal information from legally publicly disclosed information, such as legal news reports and government information disclosure. According to the law, sharing, transferring and de-identifying personal information, and ensuring that the data recipient cannot recover and re-identify the personal information subject, does not belong to the external sharing, transfer and public disclosure of personal information. The preservation and processing of the class data will not require additional notice and your consent. How do we protect your personal information? (1) We have taken reasonable and feasible security measures in accordance with the industry's general solutions to protect the security of personal information provided by you, and to prevent unauthorized access, public disclosure, use, modification, damage or loss of personal information. For example, SSL (Secure Socket) when exchanging data (such as credit card information) between your browser and the server Layer) protocol encryption protection; we use encryption technology to improve the security of personal information; we use a trusted protection mechanism to prevent personal information from being maliciously attacked; we will deploy access control mechanisms to ensure that only authorized personnel can access individuals Information; and we will conduct security and privacy protection training courses to enhance employees' awareness of the importance of protecting personal information. (2) We have advanced data security management system around the data life cycle, which enhances the security of the whole system from organizational construction, system design, personnel management, product technology and other aspects. (3) We will take reasonable and feasible measures and try our best to avoid collecting irrelevant personal information. We will only retain your personal information for the period of time required to achieve the purposes stated in this policy, unless the retention period is extended or permitted by law. (4) The Internet is not an absolutely secure environment. We strongly recommend that you do not use personal communication methods that are not recommended by this platform. You can connect and share with each other through our services. When you create communications, transactions, or sharing through our services, you can choose who you want to communicate, trade, or share as a third party who can see your trading content, contact information, exchange information, or share content. If you find that your personal information, especially your account or password, has been leaked, please contact our customer service immediately so that we can take appropriate measures according to your application. Please note that the information you voluntarily share or even share publicly when using our services may involve personal information of you or others or even sensitive personal information, such as when you post a news or choose to upload in public in group chats, circles, etc. A picture containing personal information. Please consider more carefully whether you share or even share information publicly when using our services. Please use complex passwords to help us keep your account secure. We will do our best to protect the security of any information you send us. At the same time, we will report the handling of personal information security incidents in accordance with the requirements of the regulatory authorities. V. How your personal information is transferred globally Personal information collected and generated by us during our operations in the People's Republic of China is stored in China, with the following exceptions: Laws and regulations have clear provisions; 2, get your explicit authorization; 3, you through the Internet for cross-border live broadcast / release dynamics and other personal initiatives. In response to the above, we will ensure that your personal information is adequately protected in accordance with this Privacy Policy.
reddyprasade / Machine Learning Interview PreparationPrepare to Technical Skills Here are the essential skills that a Machine Learning Engineer needs, as mentioned Read me files. Within each group are topics that you should be familiar with. Study Tip: Copy and paste this list into a document and save to your computer for easy referral. Computer Science Fundamentals and Programming Topics Data structures: Lists, stacks, queues, strings, hash maps, vectors, matrices, classes & objects, trees, graphs, etc. Algorithms: Recursion, searching, sorting, optimization, dynamic programming, etc. Computability and complexity: P vs. NP, NP-complete problems, big-O notation, approximate algorithms, etc. Computer architecture: Memory, cache, bandwidth, threads & processes, deadlocks, etc. Probability and Statistics Topics Basic probability: Conditional probability, Bayes rule, likelihood, independence, etc. Probabilistic models: Bayes Nets, Markov Decision Processes, Hidden Markov Models, etc. Statistical measures: Mean, median, mode, variance, population parameters vs. sample statistics etc. Proximity and error metrics: Cosine similarity, mean-squared error, Manhattan and Euclidean distance, log-loss, etc. Distributions and random sampling: Uniform, normal, binomial, Poisson, etc. Analysis methods: ANOVA, hypothesis testing, factor analysis, etc. Data Modeling and Evaluation Topics Data preprocessing: Munging/wrangling, transforming, aggregating, etc. Pattern recognition: Correlations, clusters, trends, outliers & anomalies, etc. Dimensionality reduction: Eigenvectors, Principal Component Analysis, etc. Prediction: Classification, regression, sequence prediction, etc.; suitable error/accuracy metrics. Evaluation: Training-testing split, sequential vs. randomized cross-validation, etc. Applying Machine Learning Algorithms and Libraries Topics Models: Parametric vs. nonparametric, decision tree, nearest neighbor, neural net, support vector machine, ensemble of multiple models, etc. Learning procedure: Linear regression, gradient descent, genetic algorithms, bagging, boosting, and other model-specific methods; regularization, hyperparameter tuning, etc. Tradeoffs and gotchas: Relative advantages and disadvantages, bias and variance, overfitting and underfitting, vanishing/exploding gradients, missing data, data leakage, etc. Software Engineering and System Design Topics Software interface: Library calls, REST APIs, data collection endpoints, database queries, etc. User interface: Capturing user inputs & application events, displaying results & visualization, etc. Scalability: Map-reduce, distributed processing, etc. Deployment: Cloud hosting, containers & instances, microservices, etc. Move on to the final lesson of this course to find lots of sample practice questions for each topic!
Vu5e / JobFailurePredictionGoogleTraces2019By learning and using prediction for failures, it is one of the important steps to improve the reliability of the cloud computing system. Furthermore, gave the ability to avoid incidents of failure and costs overhead of the system. It created a wonderful opportunity with the breakthroughs of machine learning and cloud storage that utilize generated huge data that provide pathways to predict when the system or hardware malfunction or fails. It can be used to improve the reliability of the system with the help of insights of using statistical analysis on the workload data from the cloud providers. This research will discuss regarding job usage data of tasks on the large “Google Cluster Workload Traces 2019” dataset, using multiple resampling techniques such as “Random Under Sampling, Random Oversampling and Synthetic Minority Oversampling Technique” to handle the imbalanced dataset. Furthermore, using multiple machine learning algorithm which is for traditional machine learning algorithm are “Logistic Regression, Decision Tree Classifier, Random Forest Classifier, Gradient Boosting Classifier and Extreme Gradient Boosting Classifier” while deep learning algorithm using “Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU)” for job failure prediction between imbalanced and balanced dataset. Then, to have a comparison of imbalanced and balanced in terms of model accuracy, error rate, sensitivity, f – measure, and precision. The results are Extreme Gradient Boosting Classifier and Gradient Boosting Classifier is the most performing algorithm with and without imbalanced handling techniques. It showcases that SMOTE is the best method to choose from for handling imbalanced data. The deep learning model of LSTM and Gated Recurrent Unit may be not the best for the in terms of accuracy, based on the ROC Curve its better than the XGBoost Classifier and Gradient Boosting Classifier.
cubewise-code / CubecalcSuper calculator for TM1 to calculate typical financial or statistical measures
Gagniuc / MATLAB Coding Examples From Simple To ComplexThis book guides the reader from MATLAB basics to advanced applications through graded examples. It covers variables, arrays, control flow, matrix traversal, matrix operations, functions, recursion, and object handling. Advanced topics include statistical measures, signal processing, sequence alignment, randomness, and Markov chains.
LinkedInAttic / Timingz.jsMeasure code execution in the browser and derive statistical data
CosmoStatGW / DarkSirensStatStatistical method for measuring modified GW propagation and Hubble parameter with dark sirens and galaxy catalogues
