JonBusiness 6 ways to be big data superstarTechRepublic - Mary Shacklett Big data experts must have more than technical know-how--they must also demonstrate soft skills and business acumen. In 2019, big data and analytics …

JonData Science How to Implement Bayesian Optimization from Scratch in Pythonmachinelearningmastery.com - Jason Brownlee Global optimization is a challenging problem of finding an input that results in the minimum or maximum cost of a given objective function. Typically, …

JonIcon version of the Flipboard logoMachine Learning Machine Learning: Mathematical Theory and Scientific Applications | Mathematicsstanford.edu Modern machine learning has had remarkable success in all kinds of AI applications, and is poised to change fundamentally the way we do physical …

JonProbability How to Develop an Intuition for Joint, Marginal, and Conditional Probabilitymachinelearningmastery.com - Jason Brownlee Probability for a single random variable is straight forward, although it can become complicated when considering two or more variables. With just two …

JonProbability A Gentle Introduction to Probability Distributionsmachinelearningmastery.com - Jason Brownlee Probability can be used for more than calculating the likelihood of one event; it can summarize the likelihood of all possible outcomes. A thing of …

JonLearning How graph algorithms improve machine learningoreilly.com - Mark Needham, Amy Hodler A look at why graphs improve predictions and how to create a workflow to use them with existing machine learning tasks.We’re passionate about the …

Jon Data Science: Inference and Modelingedx.org Statistical inference and modeling are indispensable for analyzing data affected by chance, and thus essential for data scientists. In this course, …

Jon Learning to Learn: A Gentle Introduction to Meta-Learningtowardsdatascience.com - Jesus Rodriguez Meta-learning is one of the most active areas of research in the deep learning space. Some schools of thought within the artificial intelligence(AI) …

Jon Which Programming Language Should Data Scientists Learn First?towardsdatascience.com - Genevieve Hayes When I started out in my first real job, as a graduate actuarial analyst back in the 2000s, the first thing my boss did was hand me a copy of The …

Jon Future of data science: 5 factors shaping the fieldTechRepublic - Macy Bayern Data science is one of the most lucrative practices for organizations, but companies must take note of these five factors moving forward. As one of …

Jon What can be learned from this study? « Statistical Modeling, Causal Inference, and Social Sciencecolumbia.edu A recent article co-authored by a leading mindfulness researcher claims to address the problems that plague meditation research, namely, underpowered …

Jon How to use Excel's advanced sorting optionsTechRepublic - Susan Harkins When an ordinary alphabetical or numerical sort in Microsoft Excel won't do, check out the advanced sorting options or add a custom sort …

Jon 5 essential data analyst skills (and how to learn them)Cult of Mac - Cult of Mac DealsIf you’re reading this, you’re likely well aware of the fact that data analysts are in high demand. With more companies gathering staggering amounts of information — and scrambling to leverage it in their

Jon Explore data visualisation with | Creative Bloqcreativebloq.com - Mike Brondbjerg p5.js is the most recent JavaScript implementation of the famous desktop creative coding environment Processing. It takes much of the power and ease …

Jon vtreat up on PyPiwin-vector.com - Author John Mount I am excited to announce vtreat is now available for Python on PyPi, in addition for R on CRAN. A data.frame processor/conditioner that prepares …

Jon Python for Data Science For Dummies, 2nd Editionoreilly.com The fast and easy way to learn Python programming and statistics Python is a general-purpose programming language created in the late 1980s—and named …

Jon Why data science is crucial to Africa developmentQuartz - Wim DelvaThe term “data science” was coined by scientists working at the social networks LinkedIn and Facebook in 2008. A few years later, they dubbed it “the sexiest profession of the 21st century”. This relatively

JonIcon version of the Flipboard logoSwimming upstream? Monitoring escaped statistical inferences in wild populations. « Statistical Modeling, Causal Inference,columbia.edu In my mails to you [a few years ago], I told you about the Norwegian practice of monitoring proportion of escaped farmed salmon in wild populations. …

Jon How To Understand the data science pipelinecodementor.io - shainaz shaik Before we start installing any software, we need to understand the repeatable set of steps that we will use for data analysis Acquisition: The first …

Jon Guidelines for Good Visual Information Representationsinteraction-design.org Information visualization is not as easy as it might first appear, particularly when you are examining complex data sets. How do you deliver a “good” …

Jon Data Science in the New Economy: A new race for talent in the Fourth Industrial Revolution | Forum Économique Mondialweforum.org As the Fourth Industrial Revolution unfolds, led by advances in technologies such as data science and artificial intelligence, the labour market is …

JonMachine Learning Machine Learning, Big Data, and Your Family History — Data Crunchovercast.fm How can artificial intelligence, machine learning, and deep learning benefit your family? These technologies are moving into every field, industry, …

JonSingularity Resetsap.com Artificial intelligence induces enthusiasm, but it is looked upon with a certain degree of caution as well. Machines are developing basic human …

JonScience Data Science in the New Economy: A new race for talent in the Fourth Industrial Revolution | World Economic Forumweforum.org As the Fourth Industrial Revolution unfolds, led by advances in technologies such as data science and artificial intelligence, the labour market is …

JonData Science Difference Between the Data Scientist and Statistician | Blogdimensionless.in - Kartik Singh The growth of data and its generation speed has been increasing exponentially since the last decade. According to reports, more than 3 quintillion …

JonMachine Learning Your First Step in Machine Learning with R | Blog | Dimensionlessdimensionless.in - Samadrita Ghosh Machine Learning is the study of statistics and algorithms which help computers to arrive at conclusions without any external guidance, solely …

JonGoogle News Google’s six rules for great data designFast Company - Mark WilsonGoogle does everything from building smartphones to creating driverless car companies. So it’s easy to forget that its official mission is “to organize the world’s information and make it universally and

JonEmployment Microsoft used data analysis to discover why its employees were miserableTechSpot - A group of miserable office workers at a pointless meeting In context: In today’s hyper-competitive tech industry, it’s important for companies to retain their best employees, but what happens when a huge …

Jon A Common Data Science Mistake: Prediction/Recommendation by Manipulating Model Inputscodementor.io - Amin Sadri “We trained a machine learning model with high performance. However, it did not work and was not useful in practice.” I have heard this sentence …