Search results for Penetration Testing Ethical Hacking Development Programming

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  • Deep Learning and Startups: Notes on Rework Conference, San Francisco

    ...rse not a convex surface!). However, plotting error over time in the application cases gets us a surprisingly smooth and monotonic curve. Theoretical developments: Batch Normalization–normalized by mean and sd so that your gradient descent can easily adjust to differences in how each layer affects...

    https://www.kdnuggets.com/2016/02/deep-learning-startups-rework-san-francisco.html

  • Scotiabank (Toronto): Data Scientist

    ...oduction, across different channels and customer platforms - Create and apply model and algorithm testing strategies to measure conduct multi-variate testing and A/B testing to measure effectiveness of models and make ongoing changes - Prepare detailed documentation to outline data sources, models...

    https://www.kdnuggets.com/jobs/16/05-03-scotiabank-data-scientist.html

  • Large Investment Firm: Data Scientist / Statistician / Programmer

    ...ression, time series analysis, forecasting, clustering, principal components analysis, interpolation, etc.) and statistical tools (e.g. R, SAS, SPSS) Programming (e.g. C++, Python, Perl) and database expertise (SQL) Knowledge of machine learning and natural language processing techniques History of...

    https://www.kdnuggets.com/jobs/14/05-09-largeinvestmentfirm-data-scientist-statistician-programmer.html

  • New Beginnings in Facial Recognition

    ...e (AI). One of these abilities is facial recognition; something humans do with relative ease, but which has been exceedingly difficult to mimic using programming logic and advanced algorithms. In Ray Kurzweil’s book How to Create a Mind, it is argued that the human brain contains approximately 300...

    https://www.kdnuggets.com/2014/06/new-beginnings-facial-recognition.html

  • Who Cares About Evidence?

    ...he third type in which we have no pertinent data and there are no physical laws driving what will or will not happen. For instance, say a New Product Development person has a rough idea for a radically new kind of product, and we must decide whether to pursue it or not. In this case we are...

    https://www.kdnuggets.com/2017/06/who-cares-evidence.html

  • Propensity Scores: A Primer

    ...ogy, can be misused. One criticism is that it is increasingly used as a substitute for experiments when the latter would have been both practical and ethical. Experiments should always be preferred whenever possible. Another criticism is that it is quite complicated, with many options and numerous...

    https://www.kdnuggets.com/2017/05/propensity-scores-primer.html

  • The Real “Fear” of AI is Automation Inundation

    ...on making which would occur at the intersection of these 2 requirements is not only impossible at this stage, but even if it were possible the ROI on development of such a system would likely be prohibitive. Source: McKinsey & Company The future is automated. It's best to embrace and prepare for...

    https://www.kdnuggets.com/2017/06/real-fear-ai-automation-inundation.html

  • Manager of Analytics

    ...sibility for Analytics and Claims Auditing Group. Uses data analysis to derive key business insights create value-add solutions through business case development. Increasing operational efficiencies and demonstrating product value using data analysis. Supervises Claims Auditing and EAP Payment...

    https://www.kdnuggets.com/jobs/13/01-24-ndbh-manager-analytics.html

  • 7 Common Data Science Mistakes and How to Avoid Them

    …h faster. The value of even the best machine learning models is diluted if a data scientist does not choose the right kind of visualizations to model development, to monitor exploratory data analysis or to represent the results. In fact, many data scientists choose the chart type visual based on…

    https://www.kdnuggets.com/2016/01/7-common-data-science-mistakes.html

  • Stanford’s AI100: Century-Long Study on Effects of Artificial Intelligence on Human Life

    ...t unethical behavior at Google but it offers the rest of the community little guidance. A more public discussion of the societal impacts and sensible ethical standards for AI are of increasing importance as use of machine learning proliferates throughout industry. While Google is clearly a leader...

    https://www.kdnuggets.com/2014/12/stanford-artificial-intelligence-100-year.html

  • Columbia University: Director of Analysis and Reporting

    ...ings and presents the results of these studies to the Executive Director, and other relevant senior managers for use in strategic planning and policy development/implementation. B. Work closely with the Executive Director in developing and implementing research strategy plan for Columbia College...

    https://www.kdnuggets.com/jobs/15/04-08-columbia-director-analysis-reporting.html

  • KDnuggets™ News 15:n07, Mar 4: Analytics/Data Science Salaries; Machine Learning Flaws; Strata Highlights

    ...ion engines. The Internet of People: 4 key principles for analyzing personal data - Feb 27, 2015. The "Internet of People" raises a host of legal and ethical questions about the ownership and use of our personal data. We all have a stake in joining and navigating this increasingly stormy debate....

    https://www.kdnuggets.com/2015/n07.html

  • White House Report on Big Data: Opportunities and Values

    ...claims are paid.   Big data also presents powerful opportunities in areas as diverse as medical research, agriculture, energy efficiency, global development, education, environmental monitoring, and modeling climate change impacts, among others. Recognizing that big data technologies are used...

    https://www.kdnuggets.com/2014/05/white-house-report-big-data-opportunities-values.html

  • Boston AnalyticsWeek Panel Highlights: Next Big Thing in Big Data

    ...change in mindset: data informs model and model informs data DavidJ: We have been in phase of infrastructure and tools. Tableau and others are in low penetration still   Q2. We have all seen McKinsey numbers about projected shortage of data scientists. Some companies want to alleviate this...

    https://www.kdnuggets.com/2014/03/boston-analyticsweek-panel-highlights-next-big-thing-big-data.html

  • Gartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers">2016 Silver BlogGartner 2016 Magic Quadrant for Advanced Analytics Platforms: gainers and losers

    ...RapidMiner have gained a little in vision. SAS: SAS has over 40,000 customers and the largest ecosystem of users and partners, and it has high market penetration in all verticals. SAS made significant progress in 2015 with Visual Analytics and Visual Statistics products with easier to use UIs...

    https://www.kdnuggets.com/2016/02/gartner-2016-mq-analytics-platforms-gainers-losers.html

  • Did Spark Really Kill Hadoop?">Silver BlogDid Spark Really Kill Hadoop?

    ...this decade-old offering. And Spark has by no means taken over. So has the newer product lived up to the hype? What follows are our findings: Market Penetration by Industry It's no surprise that a product created for experts would stay in its lane. Spark, however, boasts a meaningful distribution...

    https://www.kdnuggets.com/2017/11/did-spark-really-kill-hadoop.html

  • Big Data Innovation Summit 2014 Santa Clara: Highlights of Selected Talks on Day 1

    ...three-fold: to transform data into new content, improve content relevance and improve monetization. The skills of the team include machine learning, hacking, text mining, image mining, network science and data visualization. The analytics process followed by his team can be summarized as:...

    https://www.kdnuggets.com/2014/04/big-data-innovation-summit-2014-talks-day1.html

  • Top 10 Machine Learning Videos on YouTube

    ...mmunicates with the hardware in the living room to create a light show. This is a great integration of learning into living spaces. 8. I am a legend: Hacking Hearthstone with machine learning - Defcon 22 (92,820 views) This video demonstrates machine learning applications in video games as well. In...

    https://www.kdnuggets.com/2015/06/top-10-machine-learning-videos-youtube.html

  • KDnuggets™ News 15:n10, Apr 1: Computing platforms for data science; Free Data Mining Books; Python vs R

    ...r 30, 2015. A leading analyst and expert on text analytics gives an overview of the past year and looks ahead on text analytics technology and market developments. The Grammar of Data Science: Python vs R - Mar 28, 2015. In this post, I will elaborate on my experience switching teams by comparing...

    https://www.kdnuggets.com/2015/n10.html

  • KDnuggets™ News 15:n08, Mar 11: 7 common Machine Learning mistakes; Statistical Reasoning

    ...27 - Mar 10, 2015. An opportunity to network with leading NoSQL experts from all over the world, enjoy mind blowing talks or simply have loads of fun hacking away with other participants in Paris, 26-27 Mar 2015. Upcoming March - August 2015 Meetings in Analytics, Big Data, Mining, Data Science -...

    https://www.kdnuggets.com/2015/n08.html

  • KDnuggets™ News 15:n28, Aug 26: How long at your Analytics job? Paradoxes of Data Science; Big Data Security

    ...rials, Overviews, How-Tos Learn to Map Census Data in R - free email course    Opinions OpenText Data Driven Digest Aug 21: College Majors, Hacking Glory, Innovation Performance    News Top stories for Aug 16-22: Computing Challenge: read a document, load database; Paradoxes of...

    https://www.kdnuggets.com/2015/n28.html

  • OpenText Data Driven Digest, Aug 28: Treemaps

    …either D3.js or Highcharts. Check out my friend Jesse Freeman’s post about using Custom Visualizations. It doesn’t specifically discuss treemaps, but it will get you started; if you have questions, please leave a comment. Original. Related: OpenText Data Driven Digest Aug 21: College Majors,…

    https://www.kdnuggets.com/2015/09/opentext-digest-aug-28-treemaps.html

  • Operator: Machine Learning Engineer

    ...strial setting Rapid prototyping skills - not just a theoretical ninja, but can quickly prototype real features in a startup environment. Passion for hacking on side projects is a giant plus! You have a knack for complex data analysis -- drawing insights and making sense out of raw, unstructured...

    https://www.kdnuggets.com/jobs/15/10-19-operator-machine-learning-engineer.html

  • Opentext Data Driven Digest, Sep 18: Money and Finance

    …1. It’s a fascinating study on both financial statistics as well as data maps. Original. Related: OpenText Data Driven Digest Aug 21: College Majors, Hacking Glory, Innovation Performance Opentext Data Driven Digest, Sep 11: Clouds Analyzing and Visualizing Flows in Rivers and Lakes with MATLAB…

    https://www.kdnuggets.com/2015/09/opentext-data-driven-digest-sep-18-money-finance.html

  • Interview: Pedro Domingos: the Master Algorithm, new type of Deep Learning, great advice for young researchers

    ...e greatest insights often come from putting previously separate things together. Work with tomorrow's computing power in mind, not today's. Beware of hacking; a hack feels clever, but it's the opposite of a general solution. Complexity is your greatest enemy. Once you think you've solved a problem,...

    https://www.kdnuggets.com/2014/08/interview-pedro-domingos-master-algorithm-new-deep-learning.html

  • Data Science Last Mile

    ...is often referred to as a combination of developer, statistician, and business analyst. In more casual terminology, it can be more aptly described as hacking, domain knowledge, and advanced math. Drew Conway does a good job of describing the competencies in his blog post. Much of the recent...

    https://www.kdnuggets.com/2014/06/data-science-last-mile.html

  • Top KDnuggets tweets, May 10-12: FasteR! A Guide to Speeding Up R Code; MIT Luminoso breakthrough in Text Mining

    ...iller, plus Hadoop or BDAS bit.ly/13opf15 NSA book: Untangling the Web: A Guide to Internet Research, is free on the web, including a guide to Google hacking on.mash.to/12m7Jbj Statistical Analysis and Data Mining journal: Top 2011-12 papers, Free Access bit.ly/13KH9dt A man data mined himself (1.5...

    https://www.kdnuggets.com/2013/05/top-tweets-may10-may12.html

  • FastCompany Top 10 Most Innovative Big Data Companies

    ...tors. 3. Kaggle, for pitting data scientists from across the globe against each other to solve research problems for prize money. 4. ZestFinance, for hacking a new credit rating system by analyzing thousands of variables to determine an applicant's credit score, with the goal of providing better...

    https://www.kdnuggets.com/2013/02/fastcompany-top-10-most-innovative-big-data-companies.html

  • The Dirty Little Secret Every Data Scientist Knows (but won’t admit)

    ...ott Strong is the Director of Research at CloudZero where he is bringing together the perfect storm of machine learning, modeling and simulation, and hacking for CloudZero's products. Before CloudZero, Scott worked as a machine learning researcher and data scientist at Pindrop, an Atlanta-based...

    https://www.kdnuggets.com/2018/04/dirty-little-secret-data-scientist.html

  • Big Data generates Big Returns, says VC Roger Ehrenberg

    ...where I only see contextually relevant recommendations and receive appropriate offers. Also, please keep me safe by hunting down the bad guys who are hacking into my service providers' databases that hold my confidential data." There is no easy answer, but I do believe that the privacy horse left...

    https://www.kdnuggets.com/2013/03/roger-ehrenberg-big-data-generates-big-returns.html

  • DataSift: Data Scientist

    ...theory to work to deliver production solutions You love exploring new datasets and are addicted to understanding what is driving the phenomena Strong hacking skills: unflinching and adept in the face of data wrangling challenges At home with big, unstructured data Good knowledge of visualisation...

    https://www.kdnuggets.com/jobs/14/01-19-datasift-data-scientist.html

  • KDnuggets Exclusive: Part 2 of the Interview with Yann LeCun

    ...t director is going to have all the fun! GP: 7. The term "Data Science" has emerged recently and has been described as an intersection of Statistics, Hacking, and Domain/Business Knowledge. How is Data Science different from previous terms like "Data Mining" and "Predictive Analytics" ? If it is a...

    https://www.kdnuggets.com/2014/02/exclusive-yann-lecun-deep-learning-facebook-ai-lab-part2.html

  • Top KDnuggets tweets, Jan 22-23: 30 Free Data Mining Tools; Linkurious – explore and visualize graph data

    ...ts on Coursera Apr 7 buff.ly/1cWNsws Globys: Applied Data Scientist, Machine Learning and Data Science bit.ly/1jGz4OK A gripping story of math genius hacking OkCupid to find true love - but only on date number 88 buff.ly/1eBFRHp MADlib, supports scalable in-database analytics and data mining...

    https://www.kdnuggets.com/2014/01/top-tweets-jan22-23.html

  • Detecting In-App Purchase Fraud with Machine Learning

    comments By Ella Gati, Soomla. Hacking applications such as Freedom, iAP Cracker, iAPFree, etc. allow users to make in-app purchases for free. With these kinds of hacks the player receives the coins, gems, levels or lives they purchased without paying any money. If the game developer did not…

    https://www.kdnuggets.com/2015/11/detecting-app-purchase-fraud-machine-learning.html

  • NoSQL matters Paris, a conference for developers, architects and geeks, Mar 26-27

    ...015. You will have an opportunity to network with leading NoSQL experts from all over the world, enjoy mind blowing talks or simply have loads of fun hacking away with other participants. Our national and international speakers cover a large amount of topics with different focus and various...

    https://www.kdnuggets.com/2015/03/nosql-matters-paris-conference-developers-architects-geeks.html

  • Deep Learning for Object Detection: A Comprehensive Review">Silver BlogDeep Learning for Object Detection: A Comprehensive Review

    ...ng these models to use just requires knowing Tensorflow’s API. Tensorflow has a starter tutorial on using these models here. Give it a try, and happy hacking!   Bio: Joyce Xu is a self-taught artificial intelligence and machine learning engineer. Over the past two years, she has worked on...

    https://www.kdnuggets.com/2017/10/deep-learning-object-detection-comprehensive-review.html

  • KDnuggets™ News 17:n28, Jul 26: 5 Free Resources to start with Deep Learning for NLP; Emotional Intelligence for Data Science Teams

    ...Optimizer for Style Transfer Design by Evolution: How to evolve your neural network with AutoML Populating a GRAKN.AI Knowledge Graph with the World Hacking in silico protein engineering with Machine Learning and AI, explained Road Lane Line Detection using Computer Vision models   Opinions 6...

    https://www.kdnuggets.com/2017/n28.html

  • AI and Deep Learning, Explained Simply">Silver Blog, July 2017AI and Deep Learning, Explained Simply

    …erent kind, that humans would never make, such as classify a toothbrush as a baseball bat. This difference with humans it can be used as malicious AI hacking, for ex. painting small “adversarial” changes over street signals, unnoticeable by humans, but dramatically confusing for self-driving cars….

    https://www.kdnuggets.com/2017/07/ai-deep-learning-explained-simply.html

  • Machine Learning and Cyber Security Resources">Silver BlogMachine Learning and Cyber Security Resources

    ...od. Let me know in comments if you come across some more talks. Tutorials: I’ve found some great tutorials related to this topic. Click Security Data Hacking Project. This project contains many tutorials with notebooks and code. This is a must read for everyone interested in the application of ML...

    https://www.kdnuggets.com/2017/01/machine-learning-cyber-security.html

  • Are Scientists Doing Too Much Research?

    ...ing “fooled by chance” disappears when you repeatedly hunt for interesting patterns in large data sets (unless you correctly apply so-called multiple-testing procedures that raise the bar of statistical significance). Consider these scenarios—How would you interpret them? Scenario 1. A person...

    https://www.kdnuggets.com/2017/11/scientists-too-much-research.html

  • A Non-comprehensive List of Awesome Things other People Did in 2015

    ...piece on why Science Isn't Broken is a must read and one of the least polemic treatments of the reproducibility/replicability issue I've read. The p-hacking graphic is just icing on the cake. 10. I'm excited about the new R Consortium and the idea of having more organizations that support folks in...

    https://www.kdnuggets.com/2016/01/awesome-things-people-did-2016.html

  • Everything Changes: A Human Perspective on Digitization

    ...nsiderations. The physical threats have been augmented with threats that previously didn’t even have names, like malware, botnet attacks, and quantum hacking. Some of these threats have only begun to materialize, so the job of IT security will continue to move at a very fast pace. Data acquisition...

    https://www.kdnuggets.com/2018/01/everything-changes-human-perspective-digitization.html

  • Back to the Future: 2018 Big Data and Data Science Prognostications

    ...time to be in the data and analytics business, and 2018 will just reinforce that!   Original. Reposted with permission. Related: Big Data: Main Developments in 2017 and Key Trends in 2018 Machine Learning & Artificial Intelligence: Main Developments in 2017 and Key Trends in 2018 Xavier...

    https://www.kdnuggets.com/2018/01/2018-big-data-data-science-prognostications.html

  • Author of “Everybody Lies” to Speak at Predictive Analytics World NYC

    ...erspective on the power and peril of deployed machine learning (calling it "doppelgänger discovery"), as well as the ever-important pitfall of p-hacking (referring to it as "the curse of dimensionality"). The book wraps up with a hilarious and poignant conclusion at the very end, whereby the...

    https://www.kdnuggets.com/2017/07/paw-nyc-author-everybody-lies.html

  • Governance in Data Science

    ...et: EDA: Demonstrated experience of exploratory data analysis (EDA) across large and messy data sets. For example, working with a third-party API and testing core assumptions about the data. Scripting: As mentioned above, data scientist should be capable of productizing their findings. R and Python...

    https://www.kdnuggets.com/2018/01/governance-data-science.html

  • Dealing with Unbalanced Classes, SVMs, Random Forests, and Decision Trees in Python

    ...What other things can you do to improve the performance of the classifiers? Bio: Manu Jeevan writes about Data Science, Digital analytics and Growth hacking at Big Data Examiner. He believes that analytics is not about fancy mathematics or algorithms, it is about having an understanding of what...

    https://www.kdnuggets.com/2016/04/unbalanced-classes-svm-random-forests-python.html

  • How IoT is Jeopardizing Your Business Security

    ...digitized and connected manner businesses are conducted in. Just this week, the FBI issued a warning to all smart car drivers that automated vehicle hacking is a very real risk. What is left to be done? One thing is for sure: if done right, IoT will completely revolutionize our way of living and,...

    https://www.kdnuggets.com/2016/04/iot-jeopardizing-business-security.html

  • Predictive Analytics Introductory Key Terms, Explained

    This article compiles the key definitions included throughout PAW Founder Eric Siegel’s popular, award-winning book, Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die (Revised and Updated, 2016), which has been adopted as a textbook at over 35 universities—but reads like...

    https://www.kdnuggets.com/2016/07/siegel-predictive-analytics-key-terms-explained.html

  • When Good Advice Goes Bad

    ...ce comes from the smallest estimate, while the result with the largest estimate gives the weakest evidence. Example 2 Good advice: Warnings against p-hacking, cherry-picking, file-drawer effects, etc. How it can mislead: People get the impression that various forms of cheating represent the main...

    https://www.kdnuggets.com/2016/03/when-good-advice-goes-bad.html

  • The Truth About Bayesian Priors and Overfitting

    ...y informative priors on results you WANT to be true. It’s OK if you BELIEVE them to be true. Don’t rest your mind until you see the difference. Happy hacking!   Bio: Michael Green is a former Swedish Navy SEAL Operative turned Theoretical Physicist, and is currently a technology driven...

    https://www.kdnuggets.com/2017/07/truth-about-bayesian-priors-overfitting.html

  • Analytics and Machine Learning training in Q2

    ...e rules. Detecting anomalous cases in large datasets is critical in conducting surveillance, countering credit-card fraud, protecting against network hacking, combating insurance fraud, and many more applications in government, business and healthcare. Deep Learning (I think of it as neural nets on...

    https://www.kdnuggets.com/2017/03/statisticscom-analytics-machine-learning-training-q2.html

  • Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 1">Silver Blog, Mar 2017Key Takeaways from Strata + Hadoop World 2017 San Jose, Day 1

    …versity of Chicago delivered a talk on “The dangers of statistical significance when studying weak effects in Big Data: From natural experiments to p-hacking”. Through case studies, he highlighted the importance of disclosing the entire data analysis work (including negative results); making data,…

    https://www.kdnuggets.com/2017/03/strata-hadoop-san-jose-key-takeaways.html

  • Future of Consumer Intelligence 2014: Day 3 Highlights

    ...ive. Thorp advised companies to start thinking not in terms of data ownership, but in terms of data custodianship and to position themselves as “data ethical”, which entails: Informed consent Transparency around how the data will be used The option for people to have their records terminated (aka...

    https://www.kdnuggets.com/2014/07/future-consumer-intelligence-2014-highlights-day3.html

  • Top KDnuggets tweets, May 30 – Jun 1: Guide to Setting Up an R-Hadoop ; 100+ Interesting Data Sets

    ...available for free - big list from Data Science Central buff.ly/1nOYNrt Twitter to release all tweets to scientists for free: a research boon and an ethical dilemma buff.ly/1nBmoyb "Twitter to Release All Tweets to Scientists" - actually no, says researcher - only 6 groups from 1300 received data...

    https://www.kdnuggets.com/2014/06/top-tweets-may30-jun1.html

  • KDD-2014 report, part 2: The Magic Module network and Privacy vs Big Data

    ...led randomized experiments and respect privacy by asking for *informed* consent Chris Clifton: data mining experiments involving people should employ ethical review boards great question from the audience: When beginning a new data science project, what you should ask yourself to be sure you are...

    https://www.kdnuggets.com/2014/09/kdd-2014-magic-module-privacy-vs-big-data-part2.html

  • Big Data & Analytics in Healthcare Summit 2014 Philadelphia: Day 1 Highlights

    ...m data has been far from easy, particularly due to problems such as data complexity, return on investment (ROI) concerns, unconnected infrastructure, ethical concerns(privacy), economies of scale, lack of data standards and lack of holistic patient understanding. He stressed on connecting to the...

    https://www.kdnuggets.com/2014/07/big-data-analytics-healthcare-summit-2014-day1.html

  • Can noise help separate causation from correlation?

    ...wever, you won't be able to use intervention because: it's too expensive (for example if you have to run an experiment with 10,000 patients) it's not ethical (for example you can't force people to start smoking) it's not possible (for example you can't change the levels of CO2 in the atmosphere)...

    https://www.kdnuggets.com/2015/01/can-noise-help-separate-causation-from-correlation.html

  • Top KDnuggets tweets, Jan 27-28: Dilbert takes on #BigData Analysis and Salaries; Free Tutorial, Data Analytics for Beginners

    ...p DeepMind for over $500M #BigDataCo buff.ly/1aYegzI Top Trends in Analytics and Big Data in 2014: Analytics for the masses, Apache Spark, and Real Time Analytics www.kdnuggets.com/2014/01/top-trends-analytics-big-data-strata-2014-santa-clara.html Data products introduce ethical dilemmas for data...

    https://www.kdnuggets.com/2014/01/top-tweets-jan27-28.html

  • Brandeis Analytics Symposium, Apr 8: Industry Insights into Data and Intelligence

    ...ndeis University. Dr. Carver specializes in applied quantitative methods, big data, statistics education and business analytics. He will speak on the ethical dilemmas of big data in analytics. Other sessions include The Application of Analytics in the Student's Academic Lifecycle, led by Leanne...

    https://www.kdnuggets.com/2015/02/brandeis-analytics-symposium-industry-insights-april.html

  • Majority thinks Artificial Intelligence will not be a threat to Humanity

    ...invention. Are we not over-reacting? Gregory Piatetsky, Editor, Humans are not Intelligence alone Mike, what is to prevent intelligence without human ethical values to destroy all humans, because they consume precious resources? Mike If you are self-interested, science is good because it improves...

    https://www.kdnuggets.com/2015/01/poll-artificial-intelligence-not-threat-humanity.html

  • What is Big Data – answers from thought leaders

    …gan Associate Professor, UC Berkeley School of Information Big data: Endless possibilities or cradle-to-grave shackles, depending upon the political, ethical, and legal choices we make. Gregory Piatetsky-Shapiro President, KDnuggets.com Twitter: @kdnuggets The best definition I saw is, “Data is big…

    https://www.kdnuggets.com/2014/09/what-is-big-data-answers-thought-leaders.html

  • Predictive Analytics: Get Book,
    Receive Free Online Training

    ...nprofit, Human Language and Thought, and Human Resources. 4. Privacy and other civil liberty concerns. The author's treatise on predictive analytics' ethical realm, a chapter entitled, "With Power Come Responsibility," addresses the questions: In what ways does predictive analytics fuel the...

    https://www.kdnuggets.com/2013/04/siegel-predictive-analytics-book-free-online-training.html

  • IBM CXO Chat July 29: Segmentation and Big Data with Gregory Piatetsky-Shapiro

    …r customer analytics from the C-Suite? How do you use customer contact and channel preferences to identify shifts in customer segments? Privacy/legal/ethical issues – can segments be based on lifestyle, age, pregnancy, race? Known vs Inferred ? What is the role of social media in customer…

    https://www.kdnuggets.com/2013/07/ibm-cxo-chat-july-29-segmentation-big-data-with-gregory-piatetsky-shapiro.html

  • Four Reasons to Read the New Book “Predictive Analytics”

    ...aid, "The tables alone are worth the price of admission." 4. Privacy and other civil liberty concerns. The author's treatise on predictive analytics' ethical realm, a chapter entitled "With Power Comes Responsibility," addresses the questions: In what ways does predictive analytics fuel the...

    https://www.kdnuggets.com/2013/02/eric-siegel-predictive-analytics-book-4-reasons-to-read.html

  • KDnuggets™ News 14:n14, Jun 10

    ...a Science) #BigData sets available for free - big list from Data Science Central Twitter to release all tweets to scientists - a research boon and an ethical dilemma. Top KDnuggets tweets, May 28-29 - May 30, 2014. SAS University Edition offers free #SAS software for higher education, teaching...

    https://www.kdnuggets.com/2014/n14.html

  • IBM CXO Tweetchat, Segmentation and Big Data, with Gregory Piatetsky-Shapiro

    …tly been reading @FTC guidlines (I know, I’m a dork), and see a basic theme: Customer must consent to data collection and use. #cxo Q6: Privacy/legal/ethical issues – can segments be based on lifestyle, age, pregnancy, race? Known vs Inferred ? @kdnuggets: A6: When Target predictive analytics…

    https://www.kdnuggets.com/2013/08/ibm-cxo-tweetchat-segmentation-big-data-with-gregory-piatetsky-shapiro.html

  • Predictive Policing – Free Book

    ...t this promising research for the police with the right guarantees. Its introduction demands not only new people and new technologies; there are also ethical and organisational challenges that deserve attention. Is it at all possible to predict crime? Can crime be recognised in its early stages?...

    https://www.kdnuggets.com/2015/07/predictive-policing-free-book.html

  • Siegel Predictive Analytics Book Free Online Training

    ...nprofit, Human Language and Thought, and Human Resources. 4. Privacy and other civil liberty concerns. The author's treatise on predictive analytics' ethical realm, a chapter entitled, "With Power Come Responsibility," addresses the questions: In what ways does predictive analytics fuel the...

    https://www.kdnuggets.com/2013/03/siegel-predictive-analytics-book-free-online-training.html

  • Big Data Ethics: 4 Principles

    ...or the software and make money. It may take too long (is never too long?) to wait for various governments to come up with a global set of privacy and ethical big data guidelines. In the meantime the public will have to learn the limits and understand how much privacy we want to keep and how much to...

    https://www.kdnuggets.com/2013/03/big-data-ethics-4-principles.html

  • IEEE Rock Stars of Big Data Presentations

    ...he Silicon Valley which will focus on Big Data Analytics, visit www.computer.org/Big-Data. Here are the summaries of the presentations: The Human and Ethical Aspects of Big Data "Information, once made digital, can never be called back," warns Grady Booch, chief scientist of software engineering at...

    https://www.kdnuggets.com/2014/01/ieee-rock-stars-big-data-presentations.html

  • Take The Next Step In Your Data Science Career

    ...lyze complex data sets in the context of real-world business problems develop and implement data analysis strategies based on theoretical principles, ethical considerations, and detailed knowledge of the underlying data apply enduring mathematical principles to the analysis of data plan, direct,...

    https://www.kdnuggets.com/2017/07/st-marys-next-step-data-science-career.html

  • Data Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017">Gold BlogData Science, Predictive Analytics Main Developments in 2016 and Key Trends for 2017

    ...ve Analytics for their opinion on the most important developments of 2016 and key trends they expect in 2017. See also a previous post Big Data: Main Developments in 2016 and Key Trends in 2017. A summary of AI & Machine Learning Main Developments and Key Trends will be published next week....

    https://www.kdnuggets.com/2016/12/data-science-predictive-analytics-main-developments-trends.html

  • KDnuggets™ News 16:n42, Nov 30: Python Machine Learning Open Source Projects; Facebook Groups for Big Data & Data Science

    ...Skip-Thought Vectors    Opinions Why We Need Data Science 10 Tips to Improve your Data Science Interview Predictive Science vs Data Science Ethical Implications Of Industrialized Analytics Neighbors Know Best: (Re) Classifying an Underappreciated Beer Analytics help app developer conceive...

    https://www.kdnuggets.com/2016/n42.html

  • Do You Suffer From Analytic Personality Disorder (APD)?

    ...n when most (or at least a higher percentage of) examples of significant data breaches are on non-cloud on-premises systems, or really a breakdown in ethical standards of employees rather than failure of a hosted data center or the like. Celebrates errors committed by a classification or prediction...

    https://www.kdnuggets.com/2016/11/analytic-personality-disorder.html

  • Privacy, Security and Ethics in Process Mining

    …analyzing customer data, make sure you understand the restrictions and consider anonymization options (see guideline No. 3). Consider establishing an ethical charter that states the goal of the project, including what will and what will not be done based on the analysis. For example, you can…

    https://www.kdnuggets.com/2016/12/privacy-security-ethics-process-mining.html

  • Beware of Two Data Obfuscation Tactics

    ...his tactic is specifically tailored to data analysts, who being logical thinkers, will never vouch for anything 100%. It works particularly well with ethical data analysts. People using Tactic #1 are daring the analysts to stand up and make false claims of 100% precision. (The tactic might not work...

    https://www.kdnuggets.com/2017/04/beware-two-data-obfuscation-tactics.html

  • Take The Next Step in Your Data Science Career

    ...lyze complex data sets in the context of real-world business problems develop and implement data analysis strategies based on theoretical principles, ethical considerations, and detailed knowledge of the underlying data apply enduring mathematical principles to the analysis of data plan, direct,...

    https://www.kdnuggets.com/2017/05/saint-marys-next-step-data-science-career.html

  • The Analytics of Emotion and Depression

    …ty as a community. There has to be a structured approach for the same. Identification and applying appropriate counseling, abiding by the privacy and ethical norms will make a positive impact on the individual. We as a community should accept “Depression” and move towards solving it rather than…

    https://www.kdnuggets.com/2017/04/analytics-emotion-depression.html

  • Regis University MS in Data Science Program – Be the Difference Behind the Data

    ...t earning the skills and credentials you'll need to be the visionary leader in your career. Through our project-based graduate program, you'll get an ethical approach to data science, helping businesses untangle the complexities of data collection and analytics to build a better business and a more...

    https://www.kdnuggets.com/2016/09/regis-ms-data-science-program.html

  • FEIM: Senior Sales and Business Analyst

    ...nce and strong relationships with colleagues and internal stakeholders in addition to external counterparties. Intuitive sense of honesty and highest ethical standards; unquestioned integrity; all actions and decisions are consistent with corporate values. Collegial and collaborative team player...

    https://www.kdnuggets.com/jobs/16/08-26-feim-senior-sales-business-analyst.html

  • Big Data is Crowdledge, not 3V

    …ement, physical laws, and causal theory, among others (dos Santos & Lemes, 2014). References Baase, S. (1996). A Gift of Fire: Social, Legal, and Ethical Issues for Computing and the Internet (1st ed.). Upper Saddle River, NJ: Prentice Hall. Bengtsson, L., Lu, X., Thorson, A., Garfield, R.,…

    https://www.kdnuggets.com/2015/12/big-data-crowdledge-not-3v.html

  • Lets talk about Ethics in Analytics / Data Science

    ...ytics curriculum today. I believe, that some of the tenets of this code of ethics and standards in analytics and data science should be:   These ethical benchmarks should be regardless of job title, cultural differences, or local laws. Places integrity of analytics profession above own...

    https://www.kdnuggets.com/2015/10/ethics-data-analytics.html

  • Interview: Michael Brodie – We Can’t Rely on Machines

    …etes, he is 46 and he has only one leg and so he may have a very different prognosis from all the rest of the people who take that drug. The ideal or ethical outcome of personal-ized medicine is to improve- the health care of people by prescrib-ing better treatments for them. So that’s the good…

    https://www.kdnuggets.com/2015/09/interview-michael-brodie-we-cant-rely-machines.html

  • The Secret to a Perfect Data Science Interview

    ...ndidate you interviewed in last 5 years and collected the questions & correlated it to interview parameters. Data Scientist: Then I built a system that predicts the exact question you're going to ask with 85% precision. HR person: Wow ! That is impressive engineering. But I can't hire you on...

    https://www.kdnuggets.com/2016/04/cartoon-interview-data-scientist.html

  • Will Data Science Insure Our Future?

    ...y has dropped by four years? The confidentiality of medical data is a very contentious issue at present, so it is likely that there would be too many ethical and legal barriers for insurance companies to make this a viable option anytime in the near future. As with many areas of twenty-first...

    https://www.kdnuggets.com/2016/04/data-science-insure-our-future.html

  • An education so adventurous, we wrote a field guide

    ...t earning the skills and credentials you'll need to be the visionary leader in your career. Through our project-based graduate program, you'll get an ethical approach to data science, helping businesses untangle the complexities of data collection and analytics to build a better business and a more...

    https://www.kdnuggets.com/2016/07/regis-university-ms-data-science.html

  • KDnuggets Blog Contest: Automated Data Science and Machine Learning

    ...e the main challenges and obstacles what are prospects for achieving automation major research issues in automating Data Science and Machine Learning ethical issues and risks of automation of Data Science working prototypes This contest is over - here are the results Contest Winner: Winning the...

    https://www.kdnuggets.com/2016/06/kdnuggets-blog-contest-automated-data-science.html

  • 5 questions to decide if you need a data scientist

    …s in various industries. Yanir offers data science consulting services, while working on his own side projects. He’s always happy to discuss exciting ethical applications for his data science superpowers. Related: Stop Hiring Data Scientists Until You’re Ready for DataScience Michael Li, Data…

    https://www.kdnuggets.com/2015/08/dont-need-data-scientist-yet.html

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