Search results for financial asset

Found 105 documents, 5977 searched:

• Deep Learning in Finance: Is This The Future of the Financial Industry?

  Get a handle on how deep learning is affecting the finance industry, and identify resources to further this understanding and increase your knowledge of the various aspects.

  https://www.kdnuggets.com/2020/07/deep-learning-finance-future-financial-industry.html

• Time Series Classification Synthetic vs Real Financial Time Series">Time Series Classification Synthetic vs Real Financial Time Series

  This article discusses distinguishing between real financial time series and synthetic time series using XGBoost.

  https://www.kdnuggets.com/2020/03/time-series-classification-synthetic-real-financial-time-series.html

• Recurrent Neural Networks (RNN): Deep Learning for Sequential Data

  Recurrent Neural Networks can be used for a number of ways such as detecting the next word/letter, forecasting financial asset prices in a temporal space, action modeling in sports, music composition, image generation, and more.

  https://www.kdnuggets.com/2020/07/rnn-deep-learning-sequential-data.html

• Your Features Are Important? It Doesn’t Mean They Are Good

  “Feature Importance” is not enough. You also need to look at “Error Contribution” if you want to know which features are beneficial for your model.

  https://www.kdnuggets.com/your-features-are-important-it-doesnt-mean-they-are-good

• Before Probability Distributions

  Why do we use probability distributions, and why do they matter?

  https://www.kdnuggets.com/2020/07/before-probability-distributions.html

• Free Economics & Finance Courses for Data Scientists

  Here is a selection of courses for those interested in diversifying their domain knowledge into the related realms of economics and finance, with the goal of being able to apply your data science skills to these domains.

  https://www.kdnuggets.com/2020/06/free-economics-finance-courses-data-scientists.html

• Alternative Data, Text Analytics, and Sentiment Analysis in Trading and Investing

  Different types of data beyond your typical dollars and cents have been used in the finance industry for many years. By leveraging machine learning, sentiment data is expected to play an increasingly dominant role in the investment industry, and this article highlights some special challenges of its use in trading models.

  https://www.kdnuggets.com/2020/03/alternative-data-text-analytics-sentiment-analysis-investing.html

• Affordable online news archives for academic research

  Many researchers need access to multi-year historical repositories of online news articles. We identified three companies that make such access affordable, and spoke with their CEOs.

  https://www.kdnuggets.com/2018/08/affordable-online-news-archives.html

• Exclusive Interview: Doug Laney on Big Data and Infonomics

  We discuss 3Vs of Big Data; Infonomics and many aspects of monetizing information including promising analytics methods, successful companies, main challenges; Information marketplaces and why data ownership concept is misguided, and more.

  https://www.kdnuggets.com/2018/01/exclusive-interview-doug-laney-big-data-infonomics.html

• How AI is Revolutionizing the Legacy Industries?

  Get ready for an exciting journey into how AI is changing the tech world!

  https://www.kdnuggets.com/how-ai-is-revolutionizing-the-legacy-industries

• Navigating the Data Revolution: Exploring the Booming Trends in Data Science and Machine Learning

  Dive into transformative trends in data science, encompassing AI-powered automation, NLP, ethical considerations, decentralized computing, and interdisciplinary collaboration.

  https://www.kdnuggets.com/navigating-the-data-revolution-exploring-the-booming-trends-in-data-science-and-machine-learning

• Drag, Drop, Analyze: The Rise of No-Code Data Science

  No-code or low-code functionalities in data science have gained significant traction in recent years. These solutions are well-proven and matured, and they make data science more accessible to a wider range of people.

  https://www.kdnuggets.com/drag-drop-analyze-the-rise-of-nocode-data-science

• Data Science Methods Drive Business Success

  Northwestern University's MSDS students seeking technology leadership and management positions can build not only high-level statistical and analytical expertise, but also the broad organizational skills needed to implement reliable, data-driven decisions.

  https://www.kdnuggets.com/2023/10/nwu-data-science-methods-drive-business-success

• The Data Maturity Pyramid: From Reporting to a Proactive Intelligent Data Platform

  This article describes the data maturity pyramid and its various levels, from simple reporting to AI-ready data platforms. It emphasizes the importance of data for business and illustrates how data platforms serve as the driving force behind AI.

  https://www.kdnuggets.com/the-data-maturity-pyramid-from-reporting-to-a-proactive-intelligent-data-platform

• Learn Data Science and Business Analytics to Drive Innovation and Growth

  This article provides an overview of data science and business analytics. It also provides a brief introduction to the importance of these topics for your business.

  https://www.kdnuggets.com/2023/08/learn-data-science-business-analytics-drive-innovation-growth.html

• A Comprehensive Guide to MLOps

  Machine Learning Operations (MLOps) is a relatively new discipline that provides the structure and support necessary for machine learning (ML) models to thrive in production environments.

  https://www.kdnuggets.com/2023/08/comprehensive-guide-mlops.html

• Data access is severely lacking in most companies, and 71% believe synthetic data can help

  MOSTLY AI has conducted the first-ever synthetic data survey in the data science AI/ML community. Check out the results here.

  https://www.kdnuggets.com/2023/07/mostly-data-access-severely-lacking-synthetic-data-help.html

• Data Science Project of Rotten Tomatoes Movie Rating Prediction: First Approach

  Predicting Movie Status Based on Numerical and Categorical Features.

  https://www.kdnuggets.com/2023/06/data-science-project-rotten-tomatoes-movie-rating-prediction-first-approach.html

• Data Masking: The Core of Ensuring GDPR and other Regulatory Compliance Strategies

  This article has provided an overview of data masking and its importance in ensuring compliance with GDPR and other global regulations.

  https://www.kdnuggets.com/2023/05/data-masking-core-ensuring-gdpr-regulatory-compliance-strategies.html

• Trust in AI is Priceless

  Many machine learning models fail to deliver. Sadly, it’s often due to a lack of focus on data quality.

  https://www.kdnuggets.com/2022/08/trust-ai-priceless.html

• Market Data and News: A Time Series Analysis

  In this article we introduce a few tools and techniques for studying relationships between the stock market and the news. We explore time series processing, anomaly detection, and an event-based view of the news. We also generate intuitive charts to demonstrate some of these concepts, and share the code behind all of this in a notebook.

  https://www.kdnuggets.com/2022/06/market-data-news-time-series-analysis.html

• Publications on Data Science, Machine Learning, AI & Analytics

    Featured Publications The Machine Learning Mastery EBook Catalog Machine Learning Mastery Frustrated with one-off articles and too much math? Take the Next Step and Read more »

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

• 5 Key Components of a Data Sharing Platform

  Read this article for an overview of what the components of a data-sharing platform are.

  https://www.kdnuggets.com/2022/05/5-key-components-data-sharing-platform.html

• How Has the Adoption of AI in Algorithmic Trading Affected the Finance Industry?

  Algorithmic trading is the execution of trading operations according to a given algorithm. Read on to find out more.

  https://www.kdnuggets.com/2022/04/adoption-ai-algorithmic-trading-affected-finance-industry.html

• Low Code: Are Developers Still Needed?

  Have low-code solutions subverted the need for developers? Are experienced software developers going the way of the dodo? Read on to find out.

  https://www.kdnuggets.com/2022/04/low-code-developers-still-needed.html

• Uncertainty Quantification in Artificial Intelligence-based Systems

  The article summarizes the plethora of UQ methods using Bayesian techniques, shows issues and gaps in the literature, suggests further directions, and epitomizes AI-based systems within the Financial Crime domain.

  https://www.kdnuggets.com/2022/04/uncertainty-quantification-artificial-intelligencebased-systems.html

• Smart Ingestion: Using ontology-driven AI

  Imagine data that organizes itself to power your decision-making.

  https://www.kdnuggets.com/2021/09/smart-ingestion-ontology-driven-ai.html

• How to solve machine learning problems in the real world

  Becoming a machine learning engineer pro is your goal? Sure, online ML courses and Kaggle-style competitions are great resources to learn the basics. However, the daily job of a ML engineer requires an additional layer of skills that you won’t master through these approaches.

  https://www.kdnuggets.com/2021/09/solve-machine-learning-problems-real-world.html

• AWS Webinar: How are data-driven companies using ESG and sustainability data to make actionable decisions?

  In this virtual session, on Jul 29 @ 11AM PT, 2PM ET, our panel of experts will uncover how companies across several verticals use ESG data to move beyond the reporting benchmark, deepen business insights, and create competitive differentiation.

  https://www.kdnuggets.com/2021/07/roidna-aws-webinar-data-driven-esg-sustainability-decisions.html

• The 7 Best Open Source AI Libraries You May Not Have Heard Of

  AI researchers today have many exciting options for working with specialized tools. Although starting original projects from scratch is often not necessary, knowing which existing library to leverage remains a challenge. This list of generally unknown yet awesome, open-source libraries offers an interesting collection to consider for state-of-the-art research that spans from automatic machine learning to differentiable quantum circuits.

  https://www.kdnuggets.com/2021/06/7-open-source-ai-libraries.html

• Awesome list of datasets in 100+ categories

  With an estimated 44 zettabytes of data in existence in our digital world today and approximately 2.5 quintillion bytes of new data generated daily, there is a lot of data out there you could tap into for your data science projects. It's pretty hard to curate through such a massive universe of data, but this collection is a great start. Here, you can find data from cancer genomes to UFO reports, as well as years of air quality data to 200,000 jokes. Dive into this ocean of data to explore as you learn how to apply data science techniques or leverage your expertise to discover something new.

  https://www.kdnuggets.com/2021/05/awesome-list-datasets.html

• How to Apply Transformers to Any Length of Text

  Read on to find how to restore the power of NLP for long sequences.

  https://www.kdnuggets.com/2021/04/apply-transformers-any-length-text.html

• Unsupervised Learning for Predictive Maintenance using Auto-Encoders

  This article outlines a machine learning approach to detect and diagnose anomalies in the context of machine maintenance, along with a number of introductory concepts, including: Introduction to machine maintenance; What is predictive maintenance?; ​​​​Approaches for machine diagnosis; Machine diagnosis using machine learning

  https://www.kdnuggets.com/2021/01/unsupervised-learning-predictive-maintenance-auto-encoders.html

• 11 Industrial AI Trends that will Dominate the World in 2021

  These trends broadly cover the three themes of: Where will businesses adopt AI in 2021? How will AI become more accessible? How will AI capabilities evolve?

  https://www.kdnuggets.com/2021/01/11-industrial-ai-trends-dominate-2021.html

• Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology">Main 2020 Developments and Key 2021 Trends in AI, Data Science, Machine Learning Technology

  Our panel of leading experts reviews 2020 main developments and examines the key trends in AI, Data Science, Machine Learning, and Deep Learning Technology.

  https://www.kdnuggets.com/2020/12/developments-trends-ai-data-science-machine-learning-technology.html

• Compute Goes Brrr: Revisiting Sutton’s Bitter Lesson for AI

  "It's just about having more compute." Wait, is that really all there is to AI? As Richard Sutton's 'bitter lesson' sinks in for more AI researchers, a debate has stirred that considers a potentially more subtle relationship between advancements in AI based on ever-more-clever algorithms and massively scaled computational power.

  https://www.kdnuggets.com/2020/11/revisiting-sutton-bitter-lesson-ai.html

• Data Protection Techniques Needed to Guarantee Privacy

  This article takes a look at the concepts of data privacy and personal data. It presents several privacy protection techniques and explains how they contribute to preserving the privacy of individuals.

  https://www.kdnuggets.com/2020/10/data-protection-techniques-guarantee-privacy.html

• Content-Based Recommendation System using Word Embeddings

  This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.

  https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html

• Unit Test Your Data Pipeline, You Will Thank Yourself Later">Unit Test Your Data Pipeline, You Will Thank Yourself Later

  While you cannot test model output, at least you should test that inputs are correct. Compared to the time you invest in writing unit tests, good pieces of simple tests will save you much more time later, especially when working on large projects or big data.

  https://www.kdnuggets.com/2020/08/unit-test-data-pipeline-thank-yourself-later.html

• Fuzzy Joins in Python with d6tjoin

  Combining different data sources is a time suck! d6tjoin is a python library that lets you join pandas dataframes quickly and efficiently.

  https://www.kdnuggets.com/2020/07/fuzzy-joins-python-d6tjoin.html

• Deep Learning for Signal Processing: What You Need to Know

  Signal Processing is a branch of electrical engineering that models and analyzes data representations of physical events. It is at the core of the digital world. And now, signal processing is starting to make some waves in deep learning.

  https://www.kdnuggets.com/2020/07/deep-learning-signal-processing.html

• Explaining “Blackbox” Machine Learning Models: Practical Application of SHAP

  Train a "blackbox" GBM model on a real dataset and make it explainable with SHAP.

  https://www.kdnuggets.com/2020/05/explaining-blackbox-machine-learning-models-practical-application-shap.html

• Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs">Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs

  From network security to financial fraud, anomaly detection helps protect businesses, individuals, and online communities. To help improve anomaly detection, researchers have developed a new approach called MIDAS.

  https://www.kdnuggets.com/2020/04/midas-new-baseline-anomaly-detection-graphs.html

• Introduction to Kubeflow MPI Operator and Industry Adoption

  Kubeflow just announced its first major 1.0 release recently. This post introduces the MPI Operator, one of the core components of Kubeflow, currently in alpha, which makes it easy to run synchronized, allreduce-style distributed training on Kubernetes.

  https://www.kdnuggets.com/2020/03/introduction-kubeflow-mpi-operator-industry-adoption.html

• Skynet Is Real: The History and Future of Factories With No Workers

  Let’s see whether robots will become "grave diggers" of the proletariat, what do we lack to get total automation, and what compromises exist.

  https://www.kdnuggets.com/2020/03/skynet-real-history-future-factories-no-workers.html

• How to Get Started With Algorithmic Finance

  Algorithmic finance has been around for decades as a money-making tool, and it's not magic. Learn about some practical strategies along with and introduction to code you can use to get started.

  https://www.kdnuggets.com/2020/01/get-started-algorithmic-finance.html

• Top 10 Technology Trends for 2020">Top 10 Technology Trends for 2020

  With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.

  https://www.kdnuggets.com/2020/01/top-10-technology-trends-2020.html

• Stock Market Forecasting Using Time Series Analysis

  Time series analysis will be the best tool for forecasting the trend or even future. The trend chart will provide adequate guidance for the investor. So let us understand this concept in great detail and use a machine learning technique to forecast stocks.

  https://www.kdnuggets.com/2020/01/stock-market-forecasting-time-series-analysis.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020

  We asked leading experts - what are the most important developments of 2019 and 2020 key trends in AI, Analytics, Machine Learning, Data Science, and Deep Learning? This blog focuses mainly on technology and deployment.

  https://www.kdnuggets.com/2019/12/predictions-ai-machine-learning-data-science-technology.html

• Everything a Data Scientist Should Know About Data Management">Everything a Data Scientist Should Know About Data Management

  For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

  https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

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

  This thorough review focuses on the impact of AI, 5G, and edge computing on the healthcare sector in the 2020s as well as a look at quantum computing's potential impact on AI, healthcare, and financial services.

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

• 5 Step Guide to Scalable Deep Learning Pipelines with d6tflow

  How to turn a typical pytorch script into a scalable d6tflow DAG for faster research & development.

  https://www.kdnuggets.com/2019/09/5-step-guide-scalable-deep-learning-pipelines-d6tflow.html

• 6 Tips for Building a Training Data Strategy for Machine Learning

  Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy.

  https://www.kdnuggets.com/2019/09/6-tips-training-data-strategy-machine-learning.html

• Top 10 Data Science Use Cases in Energy and Utilities

  In this article, we will consider the most vivid data science use cases in the industry of energy and utilities.

  https://www.kdnuggets.com/2019/09/top-10-data-science-use-cases-energy-utilities.html

• Can we trust AutoML to go on full autopilot?

  We put an AutoML tool to the test on a real-world problem, and the results are surprising. Even with automatic machine learning, you still need expert data scientists.

  https://www.kdnuggets.com/2019/07/automl-full-autopilot.html

• The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era

  The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.

  https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html

• Top 8 Data Science Use Cases in Construction

  This article considers several of the most efficient and productive data science use cases in the construction industry.

  https://www.kdnuggets.com/2019/07/top-8-data-science-use-cases-construction.html

• Top 10 Statistics Mistakes Made by Data Scientists">Top 10 Statistics Mistakes Made by Data Scientists

  The following are some of the most common statistics mistakes made by data scientists. Check this list often to make sure you are not making any of these while applying statistics to data science.

  https://www.kdnuggets.com/2019/06/statistics-mistakes-data-scientists.html

• “Please, explain.” Interpretability of machine learning models

  Unveiling secrets of black box models is no longer a novelty but a new business requirement and we explain why using several different use cases.

  https://www.kdnuggets.com/2019/05/interpretability-machine-learning-models.html

• Best US/Canada Masters in Analytics, Business Analytics, Data Science

  In the final part of this series, we provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across the US and Canada.

  https://www.kdnuggets.com/2019/05/best-masters-data-science-analytics-us-canada.html

• Learn About Data Science & the Future of Investing from Hedge Fund Leaders at Rev 2

  Rev 2 features interactive sessions, Q&A with industry luminaries, poster sessions for interesting modeling techniques and accomplishments, and stimulating conversations about how to make data science an enterprise-grade capability.

  https://www.kdnuggets.com/2019/04/domino-data-science-hedge-fund-rev-2.html

• 2019 Best Masters in Data Science and Analytics – Europe Edition">2019 Best Masters in Data Science and Analytics – Europe Edition

  We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html

• Top 10 Coding Mistakes Made by Data Scientists">Top 10 Coding Mistakes Made by Data Scientists

  Here is a list of 10 common mistakes that a senior data scientist — who is ranked in the top 1% on Stackoverflow for python coding and who works with a lot of (junior) data scientists — frequently sees.

  https://www.kdnuggets.com/2019/04/top-10-coding-mistakes-data-scientists.html

• 4 Reasons Why Your Machine Learning Code is Probably Bad">4 Reasons Why Your Machine Learning Code is Probably Bad

  Your current ML workflow probably chains together several functions executed linearly. Instead of linearly chaining functions, data science code is better written as a set of tasks with dependencies between them. That is your data science workflow should be a DAG.

  https://www.kdnuggets.com/2019/02/4-reasons-machine-learning-code-probably-bad.html

• Practical Apache Spark in 10 Minutes

  Check out this series of articles on Apache Spark. Each part is a 10 minute tutorial on a particular Apache Spark topic. Read on to get up to speed using Spark.

  https://www.kdnuggets.com/2019/01/practical-apache-spark-10-minutes.html

• A Case For Explainable AI & Machine Learning

  In support of the explainable AI cause, we present a variety of use cases covering operational needs, regulatory compliance and public trust and social acceptance.

  https://www.kdnuggets.com/2018/12/explainable-ai-machine-learning.html

• 8 Reasons to Take Data Analytics Certification Courses

  We outline some of the benefits of taking data analytics classes, including the huge job opportunities, the current gap in the market, the salary aspect, the flexibility of working in any sector, and more.

  https://www.kdnuggets.com/2018/11/8-reasons-take-data-analytics-certification-courses.html

• Intro to Data Science for Managers">Intro to Data Science for Managers

  This mindmap contains a condensed introduction to the key data science concepts and techniques that have revolutionized the business landscape and became essential for making beneficial data-driven decisions

  https://www.kdnuggets.com/2018/11/intro-data-science-managers.html

• The Big Data Game Board™">The Big Data Game Board™

  Move aside “Monopoly,” “Risk,” and “Snail Race!” Time to teach the youth of the world of an important, career-advancing game: how to leverage data and analytics to change your life! Introducing the “Big Data Game Board™”!

  https://www.kdnuggets.com/2018/11/big-data-game-board.html

• UX Design Guide for Data Scientists and AI Products

  Realizing that there is a legitimate knowledge gap between UX Designers and Data Scientists, I have decided to attempt addressing the needs from the Data Scientist’s perspective.

  https://www.kdnuggets.com/2018/08/ux-design-guide-data-scientists-ai-products.html

• Scientific debt – what does it mean for Data Science?

  This article analyses scientific debt - what it is and what it means for data science.

  https://www.kdnuggets.com/2018/05/scientific-debt.html

• Top 7 Data Science Use Cases in Finance

  We have prepared a list of data science use cases that have the highest impact on the finance sector. They cover very diverse business aspects from data management to trading strategies, but the common thing for them is the huge prospects to enhance financial solutions.

  https://www.kdnuggets.com/2018/05/top-7-data-science-use-cases-finance.html

• Top 10 Technology Trends of 2018">Top 10 Technology Trends of 2018

  In this article, we will focus on the modern trends that took off well on the market by the end of 2017 and discuss the major breakthroughs expected in 2018.

  https://www.kdnuggets.com/2018/04/top-10-technology-trends-2018.html

• New Book: Credit risk analytics, The R Companion

  Credit risk analytics in R will enable you to build credit risk models from start to finish, with access to real credit data on accompanying website, you will master a wide range of applications.

  https://www.kdnuggets.com/2018/03/baesens-book-credit-risk-analytics-r.html

• Blockchains and APIs

  Major technological advances are providing opportunities for new business models, based on blockchain, which will see an increase in the number of connected devices in our day-to-day lives.

  https://www.kdnuggets.com/2018/03/blockchains-apis.html

• Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms">Gainers and Losers in Gartner 2018 Magic Quadrant for Data Science and Machine Learning Platforms

  We compare Gartner 2018 Magic Quadrant for Data Science, Machine Learning Platforms vs its 2017 version and identify notable changes for leaders and challengers, including IBM, SAS, RapidMiner, KNIME, Alteryx, H2O.ai, and Domino.

  https://www.kdnuggets.com/2018/02/gartner-2018-mq-data-science-machine-learning-changes.html

• Democratizing Artificial Intelligence, Deep Learning, Machine Learning with Dell EMC Ready Solutions

  Democratization is defined as the action/development of making something accessible to everyone, to the “common masses.” AI | ML | DL technology stacks are complicated systems to tune and maintain, expertise is limited, and one minimal change of the stack can lead to failure.

  https://www.kdnuggets.com/2018/01/democratizing-ai-deep-learning-machine-learning-dell-emc.html

• Best Masters in Data Science and Analytics – Asia and Australia Edition

  The fourth edition of our comprehensive, unbiased survey on graduate degrees in Data Science and Analytics from around the world.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-asia-australia.html

• Best Masters in Data Science and Analytics – Europe Edition

  The third part of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics, examining the programs from Europe.

  https://www.kdnuggets.com/2017/12/best-masters-data-science-analytics-europe.html

• Best Masters in Data Science and Analytics in US/Canada

  Second comprehensive list of master's degrees in the US and Canada with tuition information and duration.

  https://www.kdnuggets.com/2017/11/best-masters-data-science-analytics-us-canada.html

• Top 10 Videos on Machine Learning in Finance">Top 10 Videos on Machine Learning in Finance

  Talks, tutorials and playlists – you could not get a more gentle introduction to Machine Learning (ML) in Finance. Got a quick 4 minutes or ready to study for hours on end? These videos cover all skill levels and time constraints!

  https://www.kdnuggets.com/2017/09/top-10-videos-machine-learning-finance.html

• How To Become a 10x Data Scientist, part 1">How To Become a 10x Data Scientist, part 1

  A 10x developer is someone who is 10 times more productive than average. We adapt tips and tricks from the developer community to help you become a more proficient data scientist loved by team members and stakeholders.

  https://www.kdnuggets.com/2017/09/become-10x-data-scientist-part1.html

• The Key to Data Monetization

  While I have talked frequently about the concept of Analytic Profiles, I’ve never written a blog that details how Analytic Profiles work. So let’s create a “Day in the Life” of an Analytic Profile to explain how an Analytic Profile works to capture and “monetize” your analytic assets.

  https://www.kdnuggets.com/2017/07/key-data-monetization.html

• Why Every Company Needs a Digital Brain

  As emerging technologies like AI/machine learning are adopted across different parts of the business, enterprises require a “digital brain” to coordinate those efforts and generate systemic intelligence.

  https://www.kdnuggets.com/2017/07/why-every-company-needs-digital-brain.html

• Applying Deep Learning to Real-world Problems">Applying Deep Learning to Real-world Problems

  In this blog post I shared three learnings that are important to us at Merantix when applying deep learning to real-world problems. I hope that these ideas are helpful for other people who plan to use deep learning in their business.

  https://www.kdnuggets.com/2017/06/applying-deep-learning-real-world-problems.html

• Models: From the Lab to the Factory

  In this post, we’ll go over techniques to avoid these scenarios through the process of model management and deployment.

  https://www.kdnuggets.com/2017/04/models-from-lab-factory.html

• What Is Data Science, and What Does a Data Scientist Do?">What Is Data Science, and What Does a Data Scientist Do?

  This article is intended to help define the data scientist role, including typical skills, qualifications, education, experience, and responsibilities. This definition is somewhat loose, and given that the ideal experience and skill set is relatively rare to find in one individual.

  https://www.kdnuggets.com/2017/03/data-science-data-scientist-do.html

• An ode to the analytics grease monkeys

  Analytics is not one time job. It needs to be automated, deployed and improved for future business analytics requirements. Here an IBM expert discusses about development & deployment of analytics assets and capabilities of it.

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

• Embedded Analytics: The Future of Business Intelligence

  An overview of the evolution of Business Intelligence, and some insight into where its future lie: embedded analytics.

  https://www.kdnuggets.com/2016/09/embedded-analytics-future-business-intelligence.html

• Where are the Opportunities for Machine Learning Startups?

  Machine learning has permeated data-driven businesses, which means almost all businesses. Here are a few areas where it’s possible that big corporations haven’t already eaten everybody’s lunch.

  https://www.kdnuggets.com/2016/06/opportunites-machine-learning-startups.html

• Does Your Company Need a Data Scientist?

  Your company needs a data scientist... doesn't it? It very well may not, but you need to know either way. Read on to determine whether or not your company could benefit from the skills of an on-board data scientist.

  https://www.kdnuggets.com/2016/04/your-company-need-data-scientist.html

• Understanding Rare Events and Anomalies: Why streaks patterns change

  We often look back at the past year and an overall history of rare events, and try to then extrapolate future odds of the same rare event, based on that. We illustrate here, that rare past events have no usefulness in understanding the rarity of the same events in the future!

  https://www.kdnuggets.com/2016/01/understanding-rare-events-anomalies-patterns-change.html

• What is the importance of Dark Data in Big Data world?

  Dark data is a subset of big data, but it constitutes the biggest portion of the total volume of big data collected by organizations in a year. We will discuss about what opportunities this holds for an organization.

  https://www.kdnuggets.com/2015/11/importance-dark-data-big-data-world.html

• Data Science Data Architecture

  Data scientists are kind of a rare breed, who juggles between data science, business and IT. But, they do understand less IT than an IT person and understands less business than a business person. Which demands a specific workflow and data architecture.

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

• CRISP-DM, still the top methodology for analytics, data mining, or data science projects

  CRISP-DM remains the most popular methodology for analytics, data mining, and data science projects, with 43% share in latest KDnuggets Poll, but a replacement for unmaintained CRISP-DM is long overdue.

  https://www.kdnuggets.com/2014/10/crisp-dm-top-methodology-analytics-data-mining-data-science-projects.html

• KDnuggets™ News 14:n25, Sep 24

  Features | Software | News | Opinions | Webcasts | Courses | Jobs | Academic | Publications | Tweets | CFP | Quote Features Data Read more »

  https://www.kdnuggets.com/2014/n25.html

• CRN 50 Big Data Business Analytics Companies

  We examine CRN top 50 Big Data Business Analytics companies. They are younger (average age is 10), and 44% are founded since 2010.

  https://www.kdnuggets.com/2014/06/crn-50-big-data-business-analytics-companies.html

• CRM (Customer Relationship Management)

  A B C D E F G H I J K L M N O PQ R S T U V W XYZ 11Ants Customer Read more »

  https://www.kdnuggets.com/solutions/crm.html

• 2013 Nov Events: Analytics, Big Data, Data Mining and Data Science Courses, Events, Webinars

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Upcoming December Webcasts and Chats on Analytics, Big Read more »

  https://www.kdnuggets.com/2013/11/courses-events.html

• 2013 Nov: Analytics, Big Data, Data Mining and Data Science Posts

  All (116) | News, Software (28) | Courses, Events (23) | Jobs | Academic | Publications (36) Yahoo SAMOA, Open Source Platform for Mining Big Read more »

  https://www.kdnuggets.com/2013/11/index.html

• KDnuggets™ News 13:n27, Nov 13

  Features (10) | Software (4) | Webcasts (3) | Courses, Events (5) | Meetings (3) | Jobs (7) | Academic (4) | Competitions (2) | Publications Read more »

  https://www.kdnuggets.com/2013/n27.html

• KDnuggets™ News 13:n21, Aug 28

  Features (9) | Software (1) | Webcasts (2) | Courses, Events (3) | Meetings (4) | Jobs (5) | Academic (3) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n21.html

• Datasets for Data Science, Machine Learning, AI & Analytics

    KDnuggets subscribers now have access to the WorldData.AI Partners Plan at no cost! Check out the world’s largest external curated data platform, integrating data Read more »

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

• US/Canada Degree Programs in Data Science, Machine Learning, AI & Analytics

  Certificates | Courses | Online Masters | Europe Degrees | US/Canada Degrees United States of America   Northeast Connecticut: Central Connecticut State University (CCSU), exploring Read more »

  https://www.kdnuggets.com/education/usa-canada.html

• KDnuggets™ News 13:n06, Mar 7

  Features (7) | Software (1) | Webcasts (2) | Courses, Events (2) | Meetings (2) | Jobs (5) | Academic (2) | Competitions (3) | Publications Read more »

  https://www.kdnuggets.com/2013/n06.html