Search results for Penetration Testing Ethical Hacking Development Programming

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  • Data Science Programming: Python vs R

    …for statistical computing. At DeZyre, our career counsellors often get questions from prospective students as to what should they learn first Python programming or R programming. If you are unsure on which programming language to learn first then you are on the right page. Python and R language…

    https://www.kdnuggets.com/2015/10/data-science-programming-python-vs-r.html

  • Mathematical programming —  Key Habit to Build Up for Advancing Data Science">Gold BlogMathematical programming —  Key Habit to Build Up for Advancing Data Science

    ...a statistically sound manner.   Summary (and a challenge for the reader)   We demonstrate what it means to develop a habit of mathematical programming. Essentially, it is thinking in terms of programming to test out the mathematical properties or data patterns that you are developing in...

    https://www.kdnuggets.com/2019/05/mathematical-programming-key-habit-advancing-data-science.html

  • Why A/B Testers Have The Best Jobs In Tech

    ...y for tests to be applied to any combination of segments, or to exclude certain segments. A/B testers must deeply understand the customer.   A/B Testing at Scale Means Testing both UX and Business Policies for Key Processes   A/B testing is focused on what matters most. But how do you...

    https://www.kdnuggets.com/2017/03/ab-testers-best-jobs-tech.html

  • 5 Things to Know About A/B Testing

    ...contains information which it actually does, and those who have opened are much more likely to click through.   3. Beware the local minima; A/B testing isn’t for everything   A/B testing won’t fix everything, as it is not suited for everything. Changing a landing page is...

    https://www.kdnuggets.com/2018/09/5-things-know-about-ab-testing.html

  • Introduction to Functional Programming in Python">Gold BlogIntroduction to Functional Programming in Python

    ...4), ('b', 6), ('a', 10)] comments The Map Function   While the ability to pass in functions as arguments is not unique to Python, it is a recent development in programming languages. Functions that allow for this type of behavior are called first-class functions. Any language that contains...

    https://www.kdnuggets.com/2018/02/introduction-functional-programming-python.html

  • Designing Ethical Algorithms

    ...plementation of standards and controls. Having a diverse board of evaluators before commiting a machine learning algorithm to production could ensure ethical development. When developing machine learning technology, I urge you to seek out that voice or risk wishing you had. Be ethical and inclusive...

    https://www.kdnuggets.com/2019/03/designing-ethical-algorithms.html

  • Data Science Data Architecture

    …skills comes the request for a specific workflow and data architecture. IT versus Data Science terminology IT landscapes can go as extensive as DTAP: Development, Testing, Acceptance, Production environment, but more often IT architectures follow a subset of those. From a data science perspective,…

    https://www.kdnuggets.com/2015/09/data-science-data-architecture.html

  • Linear Programming and Discrete Optimization with Python using PuLP

    ...were allowed to assume any real number value. Integer programming forces some or all of the variables to assume only integer values. In fact, integer programming is a harder computational problem than linear programming. Integer variables make an optimization problem non-convex, and therefore far...

    https://www.kdnuggets.com/2019/05/linear-programming-discrete-optimization-python-pulp.html

  • Connecting Data Systems and DevOps

    ...and infrastructure configuration management. Validation—The basic concept here is performing important steps like automated deployments and automated testing as often (and early) as possible in development (e.g. on every code check in). As Jez Humble and David Farley would say, you want to “bring...

    https://www.kdnuggets.com/2016/06/connecting-data-systems-devops.html

  • Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API">Silver BlogComplete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API

    ...g data. def get_dataset_images(test_path_path, im_dim=32, num_channels=3): """ Similar to the one used in training except that there is just a single testing binary file for testing the CIFAR10 trained models. """ print("Working on testing patch") data_dict = unpickle_patch(test_path_path)...

    https://www.kdnuggets.com/2018/05/complete-guide-convnet-tensorflow-flask-restful-python-api.html

  • Linking Data Science Activities to Business Initiatives Using the Hypothesis Development Canvas

    ...Business Model   Since publishing that blog, I’ve had a chance to test the canvas with my University of San Francisco students. And I’ll also be testing the Hypothesis Development Canvas this week during my TDWI session “T6A Big Data MBA: Driving Digital Transformation with Big Data and...

    https://www.kdnuggets.com/2018/11/data-science-activities-business-initiatives-hypothesis-development-canvas.html

  • Building Data Systems: What Do You Need?

    ...oyment request processes for the developer with the ability to validate is necessary. Testing/QA   As the level of target scope increases in the testing sequence, testing for data infrastructure applications begins to deviate from traditional applications. While unit testing and basic sanity...

    https://www.kdnuggets.com/2016/06/building-data-systems-need.html

  • Gold Mine or Blind Alley? Functional Programming for Big Data & Machine Learning

    ...s of its opposite, imperative programming, and introduces a few new ideas, several of which have been subsequently adopted by many popular imperative programming languages. What You Can Do First-Order Functions Functional programming supports first order functions. These functions can be passed as...

    https://www.kdnuggets.com/2015/04/functional-programming-big-data-machine-learning.html

  • Object-oriented programming for data scientists: Build your ML estimator">Gold BlogObject-oriented programming for data scientists: Build your ML estimator

    ...fantastic article, which drills down to the concept of OOP in Python in more detail with a context of machine learning. Understanding Object-Oriented Programming Through Machine Learning Object-Oriented Programming (OOP) is not easy to wrap your head around. You can read tutorial after tutorial and...

    https://www.kdnuggets.com/2019/08/object-oriented-programming-data-scientists-estimator.html

  • What Do Frameworks Offer Data Scientists that Programming Languages Lack?

    ...algorithms as part of the framework is much safer and more effective than trying to tinker with them as part of the language. Frameworks have been in development for years, meaning they are tried, tested, and true — a combination of thought and experimentation from the best programming minds....

    https://www.kdnuggets.com/2017/05/frameworks-offer-data-scientists-programming-languages-lack.html

  • Data-science? Agile? Cycles? My method for managing data-science projects in the Hi-tech industry.

    ...sults on a short-term basis.   Major differences between development and research   Let’s compare the development workflow for both fields. Programming: In software development, you organize the code into functions, classes (i.e., object-oriented-programming), and may use design-patterns...

    https://www.kdnuggets.com/2019/02/data-science-agile-cycles-method-managing-projects-hi-tech-industry.html

  • 5 Tricks When A/B Testing Is Off The Table

    ...of passing an ed-tech course on earned income. Randomly assigning some people to the “passing” treatment and failing others would be fundamentally unethical, so AB testing is out. Since several hard-to-measure things are correlated with both passing a course and income — innate ability and...

    https://www.kdnuggets.com/2017/12/5-tricks-ab-testing.html

  • Apple: Multivariate Testing Analyst

    ...technical requirements of the experimentation system; enhance testing processes continuously to meet business needs. Make recommendations to systems development teams for system enhancements. Investigate and propose online testing opportunities designed to deliver insights into program...

    https://www.kdnuggets.com/jobs/14/08-06-apple-multivariate-testing-analyst.html

  • Foot Locker: Sr Manager – Digital Analytics and A/B Testing

    ...LITIES   Essential duties and responsibilities include the following; Collaborate with stakeholders to develop clear and measurable business and testing objectives, and define test KPIs. Design, develop, manage, and analyze A/B tests, multivariate testing, segment-based targeting, and...

    https://www.kdnuggets.com/jobs/18/04-02-foot-locker-manager-digital-analytics.html

  • Data Science Project Flow for Startups

    ...a country-wise model down to a per-region model, or to compose several such models into a per-continent model), though many more exist.   3. The Development Phase   3.1. Model development & experiments framework setup The amount and complexity of setup required for model development...

    https://www.kdnuggets.com/2019/01/data-science-project-flow-startups.html

  • Doing Data Science at Twitter

    …ed, controlled experiments. At Twitter, “It’s rare for a day to go by without running at least one experiment” — Alex Roetter, VP of Engineering. A/B testing is ingrained in our DNA and our product development cycle. Here is the typical process of running a A/B test: Gather Samples -> Assign…

    https://www.kdnuggets.com/2015/09/data-science-at-twitter.html

  • Best Data Science Online Courses

    …b Apps in R with Shiny $119 Data Mining with R: Go from Beginner to Advanced! $99 Applied Multivariate Analysis with R $99 SAS Course Title Price SAS programming for beginners $19 Clinical SAS Programming(CDISC) $250 Certified SAS Base Programmer $299 Advanced SAS $29 Logistic Regression (Credit…

    https://www.kdnuggets.com/2015/10/best-data-science-online-courses.html

  • Data Science for Managers: Programming Languages">Silver BlogData Science for Managers: Programming Languages

    ...e for your specific project. In this article, we are going to talk about popular languages for Data Science and briefly describe each of them.   Programming languages   Python   Python is a modern, general-purpose, high-level, dynamic programming language. It can be used for...

    https://www.kdnuggets.com/2019/11/data-science-managers-programming-languages.html

  • Torus for Docker-First Data Science

    ...ineer (MLE). At a high level, MLEs have the same set of challenges as any software engineer working in a product development team: Standardized local development environments Development vs. production environment parity Standardized packaging and deployment pipelines In addition, certain aspects...

    https://www.kdnuggets.com/2018/05/torus-docker-first-data-science.html

  • Weapons of Math Destruction, Ethical Matrix, Nate Silver and more Highlights from the Data Science Leaders Summit

    ...lly is, no company that can claim to be perfect. Big Data does not remove the need for causality. Cathy then dived into three case studies on how the ethical matrix works. An ethical matrix is an artifact of conversation about ethics – or, about stakeholders and concerns.   Case Study 1:...

    https://www.kdnuggets.com/2018/07/domino-data-science-leaders-summit-highlights.html

  • Jobs in AI, Analytics, Data Science, Machine Learning

    ...at Manhattan Associates, Atlanta, GA. – Oct 27, 2019. We are looking for a strong data-science/machine-learning engineer to provide advanced ML development expertise as a key member of a specialized data-science based team focused on the research and development of Manhattan Associates’ next...

    https://www.kdnuggets.com/jobs/index.html

  • Workforce Data Science: Does Talent Development Increase Performance Over Time?

    …erenced here, analytics results showed that sales rep performance did not measurably increase over time – despite multi-millions being spent on development efforts including: training, coaching, competency development and the like. Figure 1: Performance Level over time for Top 5%, Top 25%,…

    https://www.kdnuggets.com/2015/09/data-science-talent-development-performance.html

  • Must-Know: Key issues and problems with A/B testing

    ...and thus ill-advised. How would you conduct an A/B test on the adoption (or use) of an opt-in feature (i.e. test the actual opting-in)? This would be testing the actual opting in — such as the testing between 2 versions of a “click here to sign up” feature — and as such is...

    https://www.kdnuggets.com/2017/05/must-know-key-issues-problems-ab-testing.html

  • A Data Analyst guide to A/B testing

    …CTRs increased by almost 15% to 20%. Given couple of messaging choices, marketers often resort to A/B testing to select the best choice. What is A/B Testing? Consider A/B testing as an experiment where two variants of a message are shown to 2 different groups of users. These groups of users…

    https://www.kdnuggets.com/2017/05/data-analyst-guide-ab-testing.html

  • Age of AI Conference 2018 – Day 1 Highlights

    ...branding of the modern collection Deep Learning techniques”.Hence, it’s the title of the talk. Christopher Olah’s seminal blog post on differentiable programming and other types of programming, in which he imagines how we would look back on Deep Learning thirty years from now and establishes a...

    https://www.kdnuggets.com/2018/02/age-ai-conference-2018-day-1.html

  • How Different are Conventional Programming and Machine Learning?

    ...6;fizzbuzz’. If it is not divisible by any of the 3 or 5 then print ‘other’. It’s called a Fizzbuzz game.   Conventional Programming   It is extremely easy in conventional programming to feed the computer with a set of instructions because we have only 4 scenarios...

    https://www.kdnuggets.com/2018/12/different-conventional-programming-machine-learning.html

  • Top Machine Learning Software Tools for Developers">Gold BlogTop Machine Learning Software Tools for Developers

    ...ker is a Business Developer at QArea, Software Development & QA company who helps enterprises accelerate their businesses through custom software development and testing. Related: AI & Machine Learning: the key skills every software engineer needs in 2018 Connecting Data Systems and DevOps...

    https://www.kdnuggets.com/2019/11/top-machine-learning-software-developers.html

  • Top KDnuggets tweets, Jan 19-20: 15 programming languages you need to know in 2015; R Programming fun: writing a Twitter bot

    ...Pictures that State-of-the-Art #AI Can’t Recognize (yet) #Vision #DeepLearning t.co/OsUgXAjS8C t.co/4EHQybz6Wj Top 10 most engaging Tweets 15 #programming languages you need to know in 2015 – #Java #PHP #C++ #Python #SQL #R t.co/ZcScPzuevS #rstats t.co/E1PCvEUT7G #Facebook open sources...

    https://www.kdnuggets.com/2015/01/top-tweets-jan19-20.html

  • Summer School: Constraint Programming Data Mining, Sicily

    ...e hand, and constraint programming and optimization on the other hand. If successful, this would change the face of data mining as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to improve the formulation and solution...

    https://www.kdnuggets.com/2014/06/summer-school-constraint-programming-data-mining-sicily.html

  • 10 Great Python Resources for Aspiring Data Scientists">Platinum Blog10 Great Python Resources for Aspiring Data Scientists

    ...ith. Not to mention it is open-source, interpreted, high-level tool!   10. Why Python is Essential for Data Analysis Python is a general purpose programming language, meaning it can be used in the development of both web and desktop applications. It’s also useful in the development of complex...

    https://www.kdnuggets.com/2019/09/10-great-python-resources-aspiring-data-scientists.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on the Role of Big Data in Economic Development

    ...ley, writing his dissertation on Big Data and demographic research. Emmanuel is the author of UN Global Pulse’s White Paper “Big Data for Development” (2012), the lead author of the 2013 and 2014 OECD Fragile States reports and a regular contributor on Big Data and development. He...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-big-data-economic-development.html

  • 6 Reasons Why Python Is Suddenly Super Popular">Silver Blog, 20176 Reasons Why Python Is Suddenly Super Popular

    ...ble data. 4. Python Has Amazing Libraries When you’re working on bigger projects, libraries can really help you save time and cut down on the initial development cycle. Python has an excellent selection of libraries, from NumPy and SciPy for scientific computing to Django for web development. There...

    https://www.kdnuggets.com/2017/07/6-reasons-python-suddenly-super-popular.html

  • Consulting Companies in Analytics, Data Mining, Data Science, and Machine Learning

    ...offers strategic and tactical analytic expertise for data analysis, predictive modeling, data mining, and optimization. Machinalis, combines software development know-how with deep technical expertise Data Science. Cordoba, Argentina. Machine Analytics, provides analytics and data fusion...

    https://www.kdnuggets.com/companies/consulting.html

  • Ethical AI: EU’s New Guidelines and the Future of AI Trustworthiness

    ...nt.   What Do the EU’s AI Guidelines Entail?   The EU is not the first governing body in the world to lay out recommendations for the ethical development of artificial intelligence, although its efforts may be some of the most specific to date. During the presidency of Barack Obama,...

    https://www.kdnuggets.com/2019/05/ethical-ai-eu-new-guidelines-ai-trustworthiness.html

  • Artificial Friend or Virtual Foe

    ...bility, or safety issues in this short piece (if you want, here there is more), but avoiding the negative effects of AI is why incorporating a set of ethical principles into our technology development process is so paramount. Ethics plays a key role by ensuring that regulations of AI harness its...

    https://www.kdnuggets.com/2019/12/artificial-friend-virtual-foe.html

  • Testing Your Machine Learning Pipelines

    ...specialised validation processes. Let’s take a look at traditional testing methodologies and how we can apply these to our data/ML pipelines.   Testing Pyramid   Your standard simplified testing pyramid looks like this: This pyramid is a representation of the types of tests that you...

    https://www.kdnuggets.com/2019/11/testing-machine-learning-pipelines.html

  • Educational Testing Service: Research Director NLP, Speech Processing

    ...g fair and valid assessments, performing educational research and influencing policies that promote learning, performance, education and professional development. Currently we are seeking a Research Director of the Natural Language Processing (NLP) and Speech Group to lead a team of 26 scientists...

    https://www.kdnuggets.com/jobs/14/03-12-ets-research-director-nlp-speech-processing.html

  • Software development skills for data scientists

    …(which are just comments), and get to know the system. Create a GitHub account and check your code into a remote repo. Further reading: Code School. Testing There’s a good possibility that if you have no formal computer science traning, you don’t even know what I mean when I say…

    https://www.kdnuggets.com/2015/12/software-development-skills-data-scientists.html

  • Microsoft F# for Big Data programming

    ...round 2004. It was designed by Don Syme, principal researcher at the company. The language is geared to data-oriented programming as well as parallel programming and algorithmic development. F# 3.0, featuring support for large-scale schematized data and APIs, was released last year along with an...

    https://www.kdnuggets.com/microsoft-f-for-big-data-programming.html

  • Top KDnuggets tweets last week, Dec 1-7: Hilarious ! If programming languages were vehicles; Big Data Scientists have the highest salaries

    ...DijQWjD t.co/XWIw7hBXtB IBM #WatsonAnalytics goes public, cloud-based freemium data analysis with natural language t.co/e0MJnV9FZr t.co/XQ0H5hdQT0 If programming languages were vehicles, what would be R, SAS, and SQL? #rstats t.co/kOiLxwI6GQ t.co/a7U2Vee38C If programming languages were vehicles,...

    https://www.kdnuggets.com/2014/12/top-tweets-dec01-07.html

  • Microsoft F# for Big Data programming

    ...round 2004. It was designed by Don Syme, principal researcher at the company. The language is geared to data-oriented programming as well as parallel programming and algorithmic development. F# 3.0, featuring support for large-scale schematized data and APIs, was released last year along with an...

    https://www.kdnuggets.com/2013/02/microsoft-fsharp-for-big-data-programming.html

  • What is the Best Python IDE for Data Science?">Platinum BlogWhat is the Best Python IDE for Data Science?

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Related: Programming Best...

    https://www.kdnuggets.com/2018/11/best-python-ide-data-science.html

  • Understanding Modern Data Systems

    ...ases. In addition, a platform strategy means that failures at the platform level affect the entire organization and can be costly. Having appropriate development and testing practices is imperative when the impact can be enterprise-wide. As the Big Data ecosystem has matured, two trends have...

    https://www.kdnuggets.com/2016/06/understanding-modern-data-systems.html

  • Intellectual Ventures Lab: Sr. Machine Learning Algorithm Development Software Engineer

    ...image processing, and advanced machine learning and computer vision algorithm development. ISG focuses on applications relevant to global health and development. The Senior Machine-Learning Algorithm Development Software Engineer (ML SE) will provide technical leadership to fast-paced...

    https://www.kdnuggets.com/jobs/16/10-18-intellectualventures-machine-learning-algorithm-engineer.html

  • How AI will transform healthcare (and can it fix the US healthcare system?)">Silver BlogHow AI will transform healthcare (and can it fix the US healthcare system?)

    ...mounted before Quantum Computing achieves its potential. This will require the development of more stable hardware, commercial platforms for software development, and the development of cloud computing capabilities for the distribution and access of quantum computing resources.” Deloitte...

    https://www.kdnuggets.com/2019/09/ai-transform-healthcare.html

  • Split on Data Science Skills: Individual vs Team Approach

    ...approximate string comparison, very advanced indexing/search/retrieval) that are not common skills among statisticians, economists, or the type of IT programming personnel involved in these team projects. “Developing Analytic Programming Capability to Empower the Survey Organization”. A...

    https://www.kdnuggets.com/2014/01/split-on-data-science-skills-individual-vs-team-approach.html

  • The ultimate guide to starting AI

    ...rward it along. The loss function is for optimization, not for testing. “In applied ML/AI, the loss function is for optimization, not for statistical testing. Statistical testing should ask, “Does it perform well enough to build/launch?” where perform should be defined by the business problem and...

    https://www.kdnuggets.com/2018/11/ultimate-guide-starting-ai.html

  • Machine Learning Classification: A Dataset-based Pictorial

    ..._state= 42) After invocation, we are left with: Training feature matrix (X_train), top left (of Figure 6) Training target vector (y_train), top right Testing feature matrix (X_test), bottom left Testing target vector (y_test), bottom right Figure 6: Our training and testing splits, along with...

    https://www.kdnuggets.com/2018/11/machine-learning-classification-dataset-based-pictorial.html

  • Stanford Webinar: Pitfalls of A/B Testing

    ...        You’re Invited! Free Stanford Webinar Register Now Common Pitfalls of A/B Testing and How to Avoid Them   A/B testing is the process of using randomized controlled experiments on a web page or technology platform to determine which has a higher conversion...

    https://www.kdnuggets.com/2017/04/stanford-webinar-pitfalls-ab-testing.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...ears relevant industry experience Extensive background in statistical methods and data mining Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics Experience with big data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/17/10-20-apple-data-scientist-ab-testing.html

  • DevOps for Data Scientists: Taming the Unicorn

    ...sion control (and simply import the math functions from the version controlled libraries) or you can use existing tools like nbdime.   Automatic Testing   From a data scientist’s perspective, testing usually fall into one of two camps. You have the usual unit testing which checks if the...

    https://www.kdnuggets.com/2018/07/devops-data-scientists-taming-unicorn.html

  • If chatbots are to succeed, they need this

    ...the computer what was true. Given this database of true facts and rules, logical deduction could be used to answer the user’s queries. This style of programming is called “declarative programming”. The only real declarative programming language that has taken off and remains popular is SQL, which...

    https://www.kdnuggets.com/2018/05/chatbots-succeed-need-logic.html

  • Learn Quantum Computing with Python and Q#, Get Programming with Python, Data Science with Python and Dask

    ...data scientists running the most powerful algorithms. If you’re looking to start programming with Python, one of the best resources available is Get Programming with Python. It’s written by Ana Bell, a scientist and lecturer who teaches Introduction to Computer Science and Programming Using Python...

    https://www.kdnuggets.com/2019/09/manning-quantum-computing-python-data-science-dask.html

  • Wolfram Breakthrough Knowledge-based Programming Language – what it means for Data Science?

    ...og post. Big promises apart – the current language of data scientists remains Python and R, and it would be interesting to see if the knowledge programming thing that the Wolfram Language enhances the availability of knowledge programming or simply fades as a marketing fad with some of...

    https://www.kdnuggets.com/2014/03/wolfram-breakthrough-knowledge-based-programming-language-data-science.html

  • Bridgepoint Education: Director of Advanced Analytics

    ...& Deployment: Conduct research and make recommendations on data mining products, services, protocols, and standards in support of procurement and development efforts.   Operational Management: Direct and lead the development of statistical models to predict, quantify and forecast different...

    https://www.kdnuggets.com/jobs/14/11-22-bpiedu-director-advanced-analytics.html

  • P-values Explained By Data Scientist

    ...of p-values: Hypothesis Testing Normal Distribution What is P-value? Statistical Significance It’ll be fun. 😉 Let’s get started!   1. Hypothesis Testing   Hypothesis Testing   Before we talk about what p-value means, let’s begin by understanding hypothesis testing where p-value is...

    https://www.kdnuggets.com/2019/07/p-values-explained-data-scientist.html

  • 17 More Must-Know Data Science Interview Questions and Answers, Part 3">Silver Blog, March 201717 More Must-Know Data Science Interview Questions and Answers, Part 3

    ...and thus ill-advised. How would you conduct an A/B test on the adoption (or use) of an opt-in feature (i.e. test the actual opting-in)? This would be testing the actual opting in — such as the testing between 2 versions of a “click here to sign up” feature — and as such is...

    https://www.kdnuggets.com/2017/03/17-data-science-interview-questions-answers-part-3.html

  • The Whole Data Science World in Your Hands

    ...GitHub repo: FavioVazquez/matrix_languages_tools Testing different tools and languages of MatrixDS. Contribute to FavioVazquez/matrix_languages_tools development by…github.com   Testing Python things   Jupyter Notebook My favorite programming language of the moment is Python. There are...

    https://www.kdnuggets.com/2019/06/whole-data-science-world.html

  • Top KDnuggets tweets, Dec 1-2: Hilarious: If programming languages were vehicles; How Google Translates Pictures Into Words

    ...20;Translates” Pictures Into Words Using #DeepLearning, #BigData & Vector Math t.co/3WubEvOmGe t.co/txy7dmLLPg Most Clicked: Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, … t.co/JZMk0NRMed t.co/romPicF6Y1 Top 10 most engaging Tweets...

    https://www.kdnuggets.com/2014/12/top-tweets-dec01-02.html

  • New Online Data Science Tracks for 2017">Silver Blog, Apr 2017New Online Data Science Tracks for 2017

    …: $39/month for certificate Language: R Organization: Johns Hopkins University Prerequisites: some programming, knowledge of algebra Curriculum The R Programming Environment Advanced R Programming Building R Packages Building Data Visualization Tools Mastering Software Development in R Capstone edX…

    https://www.kdnuggets.com/2017/04/new-online-data-science-tracks-2017.html

  • Introducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference">Gold BlogIntroducing Gen: MIT’s New Language That Wants to be the TensorFlow of Programmable Inference

    ...adoption within the machine learning community. Edward fuses three fields: Bayesian statistics and machine learning, deep learning, and probabilistic programming. The library integrates seamlessly with deep learning frameworks such as Keras and TensorFlow. Pyro Pyro is a deep probabilistic...

    https://www.kdnuggets.com/2019/07/introducing-gen-language-progammable-inference.html

  • Programming Best Practices For Data Science">Silver BlogProgramming Best Practices For Data Science

    ...r time periods). The best way to generalize our code is to turn it into a data pipeline. A data pipeline is designed using principles from functional programming, where data is modified within functions and then passed between functions. Here’s a first iteration of this pipeline using a...

    https://www.kdnuggets.com/2018/08/programming-best-practices-data-science.html

  • Top KDnuggets tweets, Jan 7-8: Programming languages popularity by US state; Machine Learning best practices from Kaggle competitions

    ...ited: Great talk: #MachineLearning best practices learned from lots of competitions, by @Kaggle Chief Scientist #BigData t.co/JOvDjRaXaj Most Viewed: Programming languages popularity by US state: #Java is big in #NY, #NJ, #Python in Idaho t.co/Ek1msfJAQw t.co/5ZgzoQIKcy Most Clicked: Programming...

    https://www.kdnuggets.com/2015/01/top-tweets-jan07-08.html

  • Python Data Science for Beginners">Silver BlogPython Data Science for Beginners

    ...aring problem. He is interested in product marketing, and analytics. His latest venture Hackr.io recommends the best Data Science tutorial and online programming courses for every programming language. All the tutorials are submitted and voted by the programming community. Original. Reposted with...

    https://www.kdnuggets.com/2019/02/python-data-science-beginners.html

  • Corios LLC: Analytics Consultant

    ...sing SAS, databases, and data appliances to accomplish tasks such as: analytic data file development & cleansing, database integration, scripting/programming, statistical visualization, model development, model deployment   Required skills, knowledge, experience Qualified candidates should...

    https://www.kdnuggets.com/jobs/15/08-12-corios-analytics-consultant.html

  • Corios LLC – Analytics Consultant

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  • Corios LLC: Analytics Consultant

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  • 35 Open Source tools for Internet of Things

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  • Core Principles of Sustainable Data Science, Machine Learning and AI Product Development: Research as a core driver

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  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Big Data for Development and Future Prospects

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    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-big-data-development.html

  • Interview: Emmanuel Letouzé, Data-Pop Alliance on Democratizing the Benefits of Big Data

    ...ble—though most ethics code don’t even mention them. What should we do with data that could promote human rights but have been acquired in an unethical way? And what is ethical, actually? The truth is that what ‘we’—different people—consider ‘ethical’ is usually undefined, and may differ a...

    https://www.kdnuggets.com/2015/04/interview-emmanuel-letouze-democratizing-benefits-big-data.html

  • Data Science For Our Mental Development

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    https://www.kdnuggets.com/2019/02/data-science-mental-development.html

  • Microsoft: Sr. Software Development Engineer, Analysis and Experimentation Team

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    https://www.kdnuggets.com/jobs/14/05-06-microsoft-sr-sde-analysis-experimentation-team.html

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    https://www.kdnuggets.com/2018/11/multi-class-text-classification-doc2vec-logistic-regression.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...and execution of online A/B tests Solid experience with data analysis in R, S+, or Matlab Experience with MySQL or other DB Strong background in A/B testing Demonstrated ability to work independently Experience with at least one scripting language (preferably Python) Ability to draw conclusions...

    https://www.kdnuggets.com/jobs/17/05-12-apple-data-scientist.html

  • Naive Bayes from Scratch using Python only – No Fancy Frameworks

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    https://www.kdnuggets.com/2018/10/naive-bayes-from-scratch-python.html

  • Corios: Junior Database Engineer

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    https://www.kdnuggets.com/jobs/16/05-18-coriosgroup-junior-database-engineer.html

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    https://www.kdnuggets.com/jobs/16/11-03-corios-junior-data-engineer.html

  • How a simple mix of object-oriented programming can sharpen your deep learning prototype

    ...hink very carefully about the API of the function i.e. what minimal set of arguments is required and how they will serve a purpose for a higher level programming task Don’t forget to write a docstring for a function, even if it is a one-liner description If you start accumulating many utility...

    https://www.kdnuggets.com/2019/08/simple-mix-object-oriented-programming-sharpen-deep-learning-prototype.html

  • 3 ways to learn Data Science at Statistics.com

    ...eek to complete. Prerequisite: an undergraduate degree, plus some familiarity with basic programming (though we can help with that, if you are new to programming). Programming in Data Science – Use R for data mining, Python for text mining, extract data from databases with SQL, learn Hadoop...

    https://www.kdnuggets.com/2016/12/statisticscom-3-ways-learn-data-science.html

  • NVIDIA: Deep Learning Library Software Development Engineer

    ...Science, Artificial Intelligence, Applied Math, or related field. Ability to work independently, define project goals and scope, and manage your own development effort. Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design. Python...

    https://www.kdnuggets.com/jobs/16/10-20-nvidia-deep-learning-library-software-development-engineer.html

  • ABB: Research Scientist – Data Analytics

    ...ace designer to come from data to communicated solution. Therefore, we expect practical working experience in the area of data analytics and software development projects – preferable in an industrial research and development environment. We expect you to have excellent cross-cultural written and...

    https://www.kdnuggets.com/jobs/17/01-26-abb-research-scientist-data-analytics.html

  • DuPont: Sr. Software Developer – BioInformatics/Genomics (ABT00001643)

    ...like d3.js • Data management and data extraction skills; familiarity with data science toolkits such as Spark, Hadoop. • Experience with a Linux/Unix development environment. • Object-orient programming with Java/C a plus Required Competencies: • Proven skill in an object-oriented language, C#,...

    https://www.kdnuggets.com/jobs/16/04-20-dupont-sr-software-developer-bioinformatics-genomics.html

  • DuPont Pioneer: Senior Software Developer – Bioinformatics

    ...ies like d3.js Data management and data extraction skills; familiarity with data science toolkits such as Spark, Hadoop. Experience with a Linux/Unix development environment. Object-orient programming with Java/C a plus Required Competencies: Proven skill in an object-oriented language, C#, Python,...

    https://www.kdnuggets.com/jobs/16/09-09-dupont-software-developer-bioinformatics.html

  • Top 10 Technology Trends of 2019

    ...decades the way people live, work and interact has been considerably changed. The focus of human life has shifted from nature to technologies. Rapid development of science, industrial revolution and constant development of new technologies largely influenced on the way people live. The life is...

    https://www.kdnuggets.com/2019/02/top-10-technology-trends-2019.html

  • Data Science “Paint by the Numbers” with the Hypothesis Development Canvas

    ...The Hypothesis Development Canvas is designed to facilitate the business stakeholder-data science collaboration (see Figure 2). Figure 2: Hypothesis Development Canvas The Hypotheses Development Canvas includes the following: Hypotheses Description and Objectives – what it is the organization is...

    https://www.kdnuggets.com/2018/11/data-science-paint-by-numbers-hypothesis-development-canvas.html

  • An ode to the analytics grease monkeys

    …year by IBM, through an extended version called Analytics Solutions Unified Method for Data Mining/Predictive Analytics (also known as ASUM-DM). Many development efforts at IBM enable the development cycle through technologies including our Data Science Experience (DSX) and our ML-as-a-Service…

    https://www.kdnuggets.com/2017/02/analytics-grease-monkeys.html

  • Webinar: Text Mining Along the Drug Development Pipeline, Jan 28

    ...the drug discovery pipeline. Text mining in particular is playing an important role in speeding up the process of R&D. From discovery to clinical development to post-approval research and monitoring – text mining has enabled researchers to pursue promising new therapies and pivot away...

    https://www.kdnuggets.com/2016/01/copyright-text-mining-drug-development-pipeline.html

  • Big Data: Main Developments in 2017 and Key Trends in 2018">Silver BlogBig Data: Main Developments in 2017 and Key Trends in 2018

    ...rallel training of the AI models that are pushed down to the edges. What key trends do you see in 2018? In 2018, we’ll see the data-science/app-development community converge on an open AI development framework that wraps a common abstraction layer around modeling tools such as TensorFlow,...

    https://www.kdnuggets.com/2017/12/big-data-main-developments-2017-key-trends-2018.html

  • The Best Metric to Measure Accuracy of Classification Models

    …be the same for Scenario A and D. Testing Metrics Sensitivity Specificity Precision F1 Score MCC 1 0.90 1 1 0.90   Except for MCC all the other testing metrics have changed. Summary of Testing Metrics for all the scenarios: Scenario Sensitivity Specificity Precision F1 Score MCC A 0.90 1.00…

    https://www.kdnuggets.com/2016/12/best-metric-measure-accuracy-classification-models.html

  • New York Community Bank: Sr. Stress Testing Quantitative Risk Modeler

    ...eas. Critically reviews financial regulations and develops quantitative methods that meet regulatory requirements. Performs back-testing, sensitivity testing, and stress testing of models. Identifies and critically evaluates internal loan data elements and external market data for use in risk...

    https://www.kdnuggets.com/jobs/14/12-19-mynycb-stress-testing-quantitative-risk-modeler-sr.html

  • Data Scientist

    ...uses, import and/or move data between stores, and take random samples. Maintain data dictionaries to support knowledge transfer. Systems Analysis and Development (25%) Contribute development effort and high-level planning to web-based applications that improve business processes across University...

    https://www.kdnuggets.com/jobs/13/05-31-umich-data-scientist.html

  • 5 “Clean Code” Tips That Will Dramatically Improve Your Productivity

    ...unctions make code approximately 9832741892374 times easier to read… But seriously they really do. First off, they allow for very isolated unit testing. If the piece of code you are testing is small, it’s easy to source and debug any issues that come up in the test or during deployment. Small...

    https://www.kdnuggets.com/2018/10/5-clean-code-tips-dramatically-improve-productivity.html

  • 2018’s Top 7 Python Libraries for Data Science and AI">Gold Blog2018’s Top 7 Python Libraries for Data Science and AI

    ...loat64) features = np.delete(tpot_data.view(np.float64).reshape(tpot_data.size, -1), tpot_data.dtype.names.index('class'), axis=1) training_features, testing_features, training_classes, testing_classes = \ train_test_split(features, tpot_data['class'], random_state=42) exported_pipeline =...

    https://www.kdnuggets.com/2019/01/vazquez-2018-top-7-python-libraries.html

  • Bringing Machine Learning Research to Product Commercialization

    ...lists as a starting point, and subsequently very specifically curate scenarios which test these capabilities on a full software stack. Scenario based testing is used by many industry leaders such as Waymo or Uber. It is uniquely useful because it accelerates development, optimizes resource usage...

    https://www.kdnuggets.com/2018/11/bringing-machine-learning-research-product-commercialization.html

  • Cisco: Machine Learning Engineer/Support Bot Designer [Raleigh, NC]

    ...simulation tools and technologies. Related Work Experience 2+ years Business / IT Analyst or Engineer experience 2+ years’ experience developing and testing web and mobile applications using programming languages such as Java, JavaScript, Python, R, .NET, Node.js, with micro services, REST APIs,...

    https://www.kdnuggets.com/jobs/19/03-29-cisco-machine-learning-engineer-support-bot-b.html

  • Cisco: Support Bot Designer/Engineer [Raleigh, NC]

    ...simulation tools and technologies. Related Work Experience 2+ years Business / IT Analyst or Engineer experience 2+ years’ experience developing and testing web and mobile applications using programming languages such as Java, JavaScript, Python, R, .NET, Node.js, with micro services, REST APIs,...

    https://www.kdnuggets.com/jobs/19/03-05-cisco-support-bot-designer-engineer.html

  • How to Become a (Good) Data Scientist – Beginner Guide">Platinum BlogHow to Become a (Good) Data Scientist – Beginner Guide

    ...ata scientists. Programming Data Science is an exciting field to work in, as it combines advanced statistical and quantitative skills with real-world programming ability. Depending on your background, you are free to choose a programming language to your liking. The most popular in the Data Science...

    https://www.kdnuggets.com/2019/10/good-data-scientist-beginner-guide.html

  • COMAD India Graph Mining Programming contest

    Graph Mining Programming Contest at 20th International Conference on Management of Data COMAD 2014 17th-19th December, 2014 Hyderabad, India COMAD 2014 announces a programming contest on mining densest subgraphs from a given graph, which correspond to communities in a variety of social networks....

    https://www.kdnuggets.com/2014/09/comad-india-graph-mining-programming-contest.html

  • R Programming: Who, Where and What

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    https://www.kdnuggets.com/2015/08/r-programming-who-where-what.html

  • Top KDnuggets tweets, Jan 04-10: Cartoon: When Self-Driving Car takes you too far; A massive collection of free programming books

    ...low_ian https://t.co/1riBvzO8W7 https://t.co/GrOVzzkRxL Top 10 most engaging Tweets A massive collection of (what we assume to be legitimately) free #programming books: https://t.co/31LzaLStn6 https://t.co/ledMPOfUPl #AI #DataScience #MachineLearning: Main Developments 2016, Key Trends 2017...

    https://www.kdnuggets.com/2017/01/top-tweets-jan04-10.html

  • KDnuggets™ News 18:n10, Mar 7: Functional Programming in Python; Surviving Your Data Science Interview; Easy Image Recognition with Google Tensorflow

    ...p;|  Courses |  Meetings |  Jobs |  Tops |  Image of the week   Features Introduction to Functional Programming in Python How to Survive Your Data Science Interview Is Google Tensorflow Object Detection API the Easiest Way to Implement Image...

    https://www.kdnuggets.com/2018/n10.html

  • The Difference Between Data Scientists and Data Engineers

    ...ithm used by the data scientist in R to a more robust production platform. Overlapping Skills Certainly, there are overlapping skills with respect to programming, although a data engineer’s programming skills often outweigh those of a data scientist. For example, having a data scientist program a...

    https://www.kdnuggets.com/2019/03/odsc-difference-data-scientists-data-engineers.html

  • How to Become a Data Scientist: The Definitive Guide">Silver Blog, Aug 2017How to Become a Data Scientist: The Definitive Guide

    ...ome libraries tend to handle a lot of the linear algebra tasks for you. But it is still important to understand how these algorithms work!   The Programming   “Measuring programming progress by lines of code is like measuring aircraft building progress by weight.” — Bill Gates The data...

    https://www.kdnuggets.com/2017/08/become-data-scientist-definitive-guide.html

  • R Learning Path: From beginner to expert in R in 7 steps

    ...with offline interactive R coding exercises. There is also an online version available that requires no set-up. On edX you can take Introduction to R Programming by Microsoft. The R Programming course by Johns Hopkins on Coursera.   Next to these online tutorials there are also some very good...

    https://www.kdnuggets.com/2016/03/datacamp-r-learning-path-7-steps.html

  • KDnuggets™ News 19:n33, Sep 4: Data Science Skills Poll; Object-oriented Programming for Data Scientists

    ...earning-related skills you currently have, and which skills you want to add or improve!   Features New Poll: Data Science Skills Object-oriented programming for data scientists: Build your ML estimator Deep Learning Next Step: Transformers and Attention Mechanism R Users’ Salaries from...

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  • NREL: Data Scientist

    ...ateness of data storage, archive, purge and backup strategies. Technology tracking: Evaluate and track technology changes in big data initiatives and developments, database technologies, software development frameworks, data acquisition and storage, and software interfaces to database stores....

    https://www.kdnuggets.com/jobs/14/02-28-nrel-data-scientist.html

  • Starcom: Director, Analytics and Development

    ...dvanced analytics and data visualization to turn complex data into compelling stories that influence change. We are seeking a Director, Analytics and Development to provide analytics-based research, insights and direction to aid in the measurement and ultimately development of effective experience...

    https://www.kdnuggets.com/jobs/14/08-17-starcom-director-analytics-development.html

  • AT&T: Lead Product Development Engineer Big Data CIP IT Systems

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    https://www.kdnuggets.com/jobs/14/03-19-att-lead-product-development-engineer-big-data-cip-it-systems.html

  • MassMutual: Data Architect [Boston, MA, or Springfield, MA]

    ...lutions. Develops prototypes of the system design and works with database, operations, technical support and other IT areas as appropriate throughout development and implementation processes. Contributes to the development and maintenance of data applications including the data, software and...

    https://www.kdnuggets.com/jobs/19/04-08-massmutual-data-architect.html

  • Bayer: Principal Clinical Data Manager [Whippany, NJ]

    ...the corresponding activities of the Early Clinical Team and Clinical Project Team; Ensure smooth phase-transitioning of project between research and development phase in P&O (Portfolio & Operations), is instrumental to facilitate data access and exchange between research and development...

    https://www.kdnuggets.com/jobs/19/06-24-bayer-principal-clinical-data-manager.html

  • From Science to Data Science, a Comprehensive Guide for Transition

    ...s); and given you background you want to be a Type A Data scientist (i.e. more a statistician than a regular programmer), according to this taxonomy. Programming languages Most likely practical programming is the main skill you are missing. For general data science, the standard tools are Python...

    https://www.kdnuggets.com/2016/04/data-science-comprehensive-guide-transition.html

  • The Notebook Anti-Pattern

    .... It would need to be maintained to match the code in the extracted script, or diverge into some more untested chaos. If you want to learn more about testing ML pipelines, check out the article: Testing your ML pipelines. Version control If you have ever had to put a Notebook on git or any other...

    https://www.kdnuggets.com/2019/11/notebook-anti-pattern.html

  • Choosing Between Model Candidates

    ...o, but they are just a little higher than an order-5 polynomial. But as we mentioned, that’s not the ultimate test. It’s the error on the testing data that we really care about. Careful inspection of testing error (solid circles) shows that the fourth-order model does the best job. At...

    https://www.kdnuggets.com/2019/05/choosing-between-model-candidates.html

  • Apple: Data Scientist – Apple Media Products, Evaluation and A/B Testing

    ...ears relevant industry experience Extensive background in statistical methods and data mining Excellent applied statistics skills, such as hypothesis testing, experimental design, sample size determination and non-parametric statistics Experience with big data systems and distributed computing,...

    https://www.kdnuggets.com/jobs/18/01-11-apple-data-scientist-evaluation-ab-testing.html

  • Corios: Data Engineer

    ...as part of the development process Collaborate with IT in client organizations to design and test the data acquisition and ETL processes Perform unit testing, system integration testing, and user acceptance testing and fix defects found by testing Provide expert guidance and assistance to...

    https://www.kdnuggets.com/jobs/16/04-18-corios-data-engineer.html

  • KDnuggets™ News 15:n35, Oct 28: Data Science Machine; Programming: Python vs R; KDnuggets Addiction

    ...sp;|  Tweets | Quote    Features The Data Science Machine, or ‘How To Engineer Feature Engineering’ Data Science Programming: Python vs R Cartoon: KDnuggets Addiction How to Use Data Visualizations to Win Over Your Audience Introducing: Blocks and Fuel –...

    https://www.kdnuggets.com/2015/n35.html

  • If programming languages were vehicles, what would be R, Python, SAS, and SQL?

    comments By Gregory Piatetsky, @kdnuggets, Dec 6, 2014. I recently read (and tweeted) a funny post Hilarious ! If programming languages were vehicles: on C, C++, Java, Python, Perl, Lisp, … http://t.co/JZMk0NRMed pic.twitter.com/romPicF6Y1 — Gregory Piatetsky (@kdnuggets) December...

    https://www.kdnuggets.com/2014/12/if-programming-languages-were-vehicles-r-sas-sql.html

  • Fastest Growing Programming Languages and Computing Frameworks

    comments By Nathan Epstein The Redmonk Language Rankings have been an important tool for ranking the popularity of programming languages since the analysis (regressing Github repo count against Stack Overflow posts) was first done in 2010. The fact that the repo count and post count are…

    https://www.kdnuggets.com/2016/03/ranking-growth-programming-languages.html

  • 5 EBooks to Read Before Getting into A Data Science or Big Data Career

    ...skill sets for a data science role; Resources to build on your learning; And much more! Click here to download Big Data ebook for free   2. Top Programming Languages for a Data Scientist Programming is a core technical skill that is an absolute must-have for data scientists. Learn which...

    https://www.kdnuggets.com/2016/08/simplilearn-5-free-ebooks-data-science-big-data.html

  • Top stories in December: If programming languages were vehicles; Cartoon: Unexpected Data Science Recommendations

    Most viewed If programming languages were vehicles, what would be R, Python, SAS, and SQL? – Dec 6, 2014. Geoffrey Hinton talks about Deep Learning, Google and Everything – Dec 1, 2014. Most Demanded Data Science and Data Mining Skills – Dec 15, 2014. IBM Watson Analytics vs....

    https://www.kdnuggets.com/2015/01/top-news-2014-dec.html

  • Online Data Science Certificates: Analytics and Programming for Data Science

    ...programming proficiency. A typical student profile in this program might be someone working in IT who wants to expand into analytics; a student with programming experience would require about a year to complete all courses. Instruction in basic programming is available for novice programmers (in...

    https://www.kdnuggets.com/2014/03/online-data-science-certificates-analytics-programming-for-data-science.html

  • Perfume, computer programming, and Harvard

    ...g to pay a 2800% premium for the Harvard name, as opposed to an EdX credential. A bit like perfume. Statistics.com also has an introductory track for programming, focusing on the needs of data scientists, using R, Python and SQL. Small classes, individual attention from instructor and teaching...

    https://www.kdnuggets.com/2014/10/perfume-computer-programming-harvard.html

  • Geisinger: Senior Data Science Programmer

    ...rmance Computing environment 4) Manage the shared data and analytics resources for the data science group Experience: A minimum of 3 years of general development experience or 1 year of development experience in a scientific computing (e.g., supercomputing) specialty For more information and to...

    https://www.kdnuggets.com/jobs/15/07-20-geisinger-senior-high-performance-computing-programmer.html

  • RCloud – DevOps for Data Science

    …zations, recommendations and reports were done with another. This separation often extended to the very systems where the tools were located (e.g., a development environment versus a production environment). Separating the tools and the environments hinders mid-process feedback and development

    https://www.kdnuggets.com/2016/11/rcloud-devops-data-science.html

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