Search results for IPO

Found 90 documents, 5928 searched:

• AI in Intimate Roles: Girlfriends and Therapists

  This article is a brief overview of the field of Emotion AI, and the potential applications of its technology in intimate roles.

  https://www.kdnuggets.com/ai-in-intimate-roles-girlfriends-and-therapists

• KDnuggets News, October 27: 5 Free Books to Master Data Science • 7 Steps to Mastering LLMs

  This week on KDnuggets: Go from learning what large language models are to building and deploying LLM apps in 7 steps • Check this list of free books for learning Python, statistics, linear algebra, machine learning and deep learning • And much, much more!

  https://www.kdnuggets.com/2023/n38.html

• 30 Years of Data Science: A Review From a Data Science Practitioner

  A review from a data science practitioner.

  https://www.kdnuggets.com/30-years-of-data-science-a-review-from-a-data-science-practitioner

• KDnuggets News, February 15: Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know

  Top Free Resources To Learn ChatGPT • 5 Pandas Plotting Functions You Might Not Know • Python Function Arguments: A Definitive Guide • Making Intelligent Document Processing Smarter: Part 1 • Optimizing Python Code Performance: A Deep Dive into Python Profilers

  https://www.kdnuggets.com/2023/n06.html

• 7 AI-Powered Tools to Enhance Productivity for Data Scientists

  Discover how AI-Powered Tools like DataRobot, H20.ai, BigPanda, HuggingFace can enhance your Productivity as a Data Scientist.

  https://www.kdnuggets.com/2023/02/7-aipowered-tools-enhance-productivity-data-scientists.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• What Can AI-Powered RPA and IA Mean For Businesses?

  RPA and IA have stunned the business world by availing impressive, intelligent automation capabilities for scales of businesses across industries, which we'll know in this blog.

  https://www.kdnuggets.com/2022/12/aipowered-rpa-ia-mean-businesses.html

• Getting Started with Automated Text Summarization

  This article will walk through an extractive text summarization process, using a simple word frequency approach, implemented in Python.

  https://www.kdnuggets.com/2019/11/getting-started-automated-text-summarization.html

• KDnuggets News, September 14: Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning

  Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning • Progress Bars in Python with tqdm for Fun and Profit • 7 Tips for Python Beginners • 7 Data Analytics Interview Questions & Answers

  https://www.kdnuggets.com/2022/n36.html

• 7 Things You Didn’t Know You Could do with a Low Code Tool

  Surprisingly easy solutions for complex data problems.

  https://www.kdnuggets.com/2022/09/7-things-didnt-know-could-low-code-tool.html

• The Complete Collection of Data Science Books – Part 2

  Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

  https://www.kdnuggets.com/2022/05/complete-collection-data-science-books-part-2.html

• How I 14Xed my salary in 14 years as a data analytics/science professional

  Learn how one data scientist increased their full-time job salary 14 times in 14 years of a career, with highlights on experiencing an IPO, RSUs, start-ups and working at FAANG companies.

  https://www.kdnuggets.com/2021/12/14x-salary-in-14-years-data-professional.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2021 and Key Trends for 2022

  2021 has almost come and gone. We saw some standout advancements in AI, Analytics, Machine Learning, Data Science, Deep Learning Research this past year, and the future, starting with 2022, looks bright. As per KDnuggets tradition, our collection of experts have contributed their insights on the matter. Read on to find out more.

  https://www.kdnuggets.com/2021/12/developments-predictions-ai-machine-learning-data-science-research.html

• Movie Recommendations with Spark Collaborative Filtering

  Not sure what movie to watch? Ask your recommender system.

  https://www.kdnuggets.com/2021/12/movie-recommendations-spark-collaborative-filtering.html

• Sentiment Analysis with KNIME

  Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

  https://www.kdnuggets.com/2021/11/sentiment-analysis-knime.html

• Four Basic Steps in Data Preparation">Four Basic Steps in Data Preparation

  What we would like to do here is introduce four very basic and very general steps in data preparation for machine learning algorithms. We will describe how and why to apply such transformations within a specific example.

  https://www.kdnuggets.com/2021/10/four-basic-steps-data-preparation.html

• Mastering Clustering with a Segmentation Problem

  The one stop shop for implementing the most widely used models in Python for unsupervised clustering.

  https://www.kdnuggets.com/2021/08/mastering-clustering-segmentation-problem.html

• Geometric foundations of Deep Learning">Geometric foundations of Deep Learning

  Geometric Deep Learning is an attempt for geometric unification of a broad class of machine learning problems from the perspectives of symmetry and invariance. These principles not only underlie the breakthrough performance of convolutional neural networks and the recent success of graph neural networks but also provide a principled way to construct new types of problem-specific inductive biases.

  https://www.kdnuggets.com/2021/07/geometric-foundations-deep-learning.html

• High-Performance Deep Learning: How to train smaller, faster, and better models – Part 3

  Now that you are ready to efficiently build advanced deep learning models with the right software and hardware tools, the techniques involved in implementing such efforts must be explored to improve model quality and obtain the performance that your organization desires.

  https://www.kdnuggets.com/2021/07/high-performance-deep-learning-part3.html

• How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform

  Winning seed funding from venture capitalists is a daunting task, and the pitch is key. Learn how one effective slide deck resulted in a successful early funding round for an open-source start-up, Airbyte.

  https://www.kdnuggets.com/2021/05/vc-pitch-deck-open-source-elt-platform.html

• How to Determine if Your Machine Learning Model is Overtrained">How to Determine if Your Machine Learning Model is Overtrained

  WeightWatcher is based on theoretical research (done injoint with UC Berkeley) into Why Deep Learning Works, based on our Theory of Heavy Tailed Self-Regularization (HT-SR). It uses ideas from Random Matrix Theory (RMT), Statistical Mechanics, and Strongly Correlated Systems.

  https://www.kdnuggets.com/2021/05/how-determine-machine-learning-model-overtrained.html

• The Most In Demand Skills for Data Engineers in 2021

  If you are preparing to make a career in data or are looking for opportunities to skill-up in your current data-centric role, then this analysis of in-demand skills for 2021, based on over 17,000 Data Engineer job postings, should offer you a good idea as to which programming languages and software tools are increasing and decreasing in importance.

  https://www.kdnuggets.com/2021/05/most-demand-skills-data-engineers-2021.html

• My machine learning model does not learn. What should I do?

  This article presents 7 hints on how to get out of the quicksand.

  https://www.kdnuggets.com/2021/02/machine-learning-model-not-learn.html

• The Best Tool for Data Blending is KNIME

  These are the lessons and best practices I learned in many years of experience in data blending, and the software that became my most important tool in my day-to-day work.

  https://www.kdnuggets.com/2021/01/best-tool-data-blending-knime.html

• Learn Data Science for free in 2021">Learn Data Science for free in 2021

  If you are considering starting a career path in machine learning and data science, then there is a great deal to learn theoretically, along with gaining practical skills in applying a broad range of techniques. This comprehensive learning plan will guide you to start on this path, and it is all available for free.

  https://www.kdnuggets.com/2021/01/learn-data-science-free-2021.html

• AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2020 and Key Trends for 2021

  2020 is finally coming to a close. While likely not to register as anyone's favorite year, 2020 did have some noteworthy advancements in our field, and 2021 promises some important key trends to look forward to. As has become a year-end tradition, our collection of experts have once again contributed their thoughts. Read on to find out more.

  https://www.kdnuggets.com/2020/12/predictions-ai-machine-learning-data-science-research.html

• Mastering Time Series Analysis with Help From the Experts

  Read this discussion with the “Time Series” Team at KNIME, answering such classic questions as "how much past is enough past?" others that any practitioner of time series analysis will find useful.

  https://www.kdnuggets.com/2020/10/mastering-time-series-analysis-experts.html

• 6 Lessons Learned in 6 Months as a Data Scientist

  When transitioning into a Data Science career, a new mindset toward collaboration, data, and reporting is required. Learn from these recommendations on approaches you should consider to successfully develop into your dream job.

  https://www.kdnuggets.com/2020/10/6-lessons-6-months-data-scientist.html

• Missing Value Imputation – A Review

  Detecting and handling missing values in the correct way is important, as they can impact the results of the analysis, and there are algorithms that can’t handle them. So what is the correct way?

  https://www.kdnuggets.com/2020/09/missing-value-imputation-review.html

• DIY Election Fraud Analysis Using Benford’s Law

  In this article, we will talk about a Do-It-Yourself approach towards election analysis and coming to a conclusion whether the elections were conducted fairly or not.

  https://www.kdnuggets.com/2020/09/diy-election-fraud-analysis-benfords-law.html

• 3D Human Pose Estimation Experiments and Analysis

  In this article, we explore how 3D human pose estimation works based on our research and experiments, which were part of the analysis of applying human pose estimation in AI fitness coach applications.

  https://www.kdnuggets.com/2020/08/3d-human-pose-estimation-experiments-analysis.html

• What I learned from looking at 200 machine learning tools

  While hundreds of machine learning tools are available today, the ML software landscape may still be underdeveloped with more room to mature. This review considers the state of ML tools, existing challenges, and which frameworks are addressing the future of machine learning software.

  https://www.kdnuggets.com/2020/07/200-machine-learning-tools.html

• Before Probability Distributions

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

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

• Deepmind’s Gaming Streak: The Rise of AI Dominance

  There is still a long way to go before machine agents match overall human gaming prowess, but Deepmind’s gaming research focus has shown a clear progression of substantial progress.

  https://www.kdnuggets.com/2020/05/deepmind-gaming-ai-dominance.html

• Top AI Resources – Directory for Remote Learning

  Whether you are just learning Data Science, a current professional, or just interested, it's crucial to keep the mind stimulated and stay current. With conferences, schools, and travel largely canceled because of #coronavirus, these remote resources will help you stay engaged.

  https://www.kdnuggets.com/2020/03/top-ai-resources-remote-learning.html

• Geovisualization with Open Data

  In this post I want to show how to use public available (open) data to create geo visualizations in python. Maps are a great way to communicate and compare information when working with geolocation data. There are many frameworks to plot maps, here I focus on matplotlib and geopandas (and give a glimpse of mplleaflet).

  https://www.kdnuggets.com/2020/01/open-data-germany-maps-viz.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 Research Main Developments in 2019 and Key Trends for 2020">AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments in 2019 and Key Trends for 2020

  As we say goodbye to one year and look forward to another, KDnuggets has once again solicited opinions from numerous research & technology experts as to the most important developments of 2019 and their 2020 key trend predictions.

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

• Text Encoding: A Review

  We will focus here exactly on that part of the analysis that transforms words into numbers and texts into number vectors: text encoding.

  https://www.kdnuggets.com/2019/11/text-encoding-review.html

• Designing Your Neural Networks

  Check out this step-by-step walk through of some of the more confusing aspects of neural nets to guide you to making smart decisions about your neural network architecture.

  https://www.kdnuggets.com/2019/11/designing-neural-networks.html

• Time Series Analysis: A Simple Example with KNIME and Spark

  The task: train and evaluate a simple time series model using a random forest of regression trees and the NYC Yellow taxi dataset.

  https://www.kdnuggets.com/2019/10/time-series-analysis-simple-example-knime-spark.html

• Four questions to help accurately scope analytics engineering project

  Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.

  https://www.kdnuggets.com/2019/10/four-questions-scope-analytics-engineering-project.html

• A 2019 Guide to Semantic Segmentation

  Semantic segmentation refers to the process of linking each pixel in an image to a class label. These labels could include a person, car, flower, piece of furniture, etc., just to mention a few. We’ll now look at a number of research papers on covering state-of-the-art approaches to building semantic segmentation models.

  https://www.kdnuggets.com/2019/08/2019-guide-semantic-segmentation.html

• Deep Learning for NLP: ANNs, RNNs and LSTMs explained!">Deep Learning for NLP: ANNs, RNNs and LSTMs explained!

  Learn about Artificial Neural Networks, Deep Learning, Recurrent Neural Networks and LSTMs like never before and use NLP to build a Chatbot!

  https://www.kdnuggets.com/2019/08/deep-learning-nlp-explained.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

• Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning">Top 10 Best Podcasts on AI, Analytics, Data Science, Machine Learning

  Check out our latest Top 10 Most Popular Data Science and Machine Learning podcasts available on iTunes. Stay up to date in the field with these recent episodes and join in with the current data conversations.

  https://www.kdnuggets.com/2019/07/best-podcasts-ai-analytics-data-science-machine-learning.html

• The Evolution of a ggplot

  A step-by-step tutorial showing how to turn a default ggplot into an appealing and easily understandable data visualization in R.

  https://www.kdnuggets.com/2019/07/evolution-ggplot.html

• Interview Questions for Data Science – Three Case Interview Examples

  Part two in this series of useful posts for aspiring data scientists focuses on case interviews and how you can best go about answering them.

  https://www.kdnuggets.com/2019/04/interview-questions-data-science.html

• Was it Worth Studying a Data Science Masters?

  As I started to apply for Data Science roles it quickly became apparent that I was lacking two key skills: applying Machine Learning and coding

  https://www.kdnuggets.com/2019/04/worth-studying-data-science-masters.html

• The Rise of Generative Adversarial Networks

  A comprehensive overview of Generative Adversarial Networks, covering its birth, different architectures including DCGAN, StyleGAN and BigGAN, as well as some real-world examples.

  https://www.kdnuggets.com/2019/04/rise-generative-adversarial-networks.html

• The Pareto Principle for Data Scientists">The Pareto Principle for Data Scientists

  In this article, I’ll share a few ways in which we, as data scientists, can use the power of the Pareto Principle to guide our day-to-day activities.

  https://www.kdnuggets.com/2019/03/pareto-principle-data-scientists.html

• Four Techniques for Outlier Detection

  There are many techniques to detect and optionally remove outliers from a dataset. In this blog post, we show an implementation in KNIME Analytics Platform of four of the most frequently used - traditional and novel - techniques for outlier detection.

  https://www.kdnuggets.com/2018/12/four-techniques-outlier-detection.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

• Introduction to Deep Learning

  I decided to begin to put some structure in my understanding of Neural Networks through this series of articles.

  https://www.kdnuggets.com/2018/09/introduction-deep-learning.html

• Ethics + Data Science: opinion by DJ Patil, former US Chief Data Scientist

  How much has data changed our lives over the past decade? Former US Chief Data Scientist DJ Patil investigates.

  https://www.kdnuggets.com/2018/09/ethics-data-science.html

• From Data to Viz: how to select the the right chart for your data">From Data to Viz: how to select the the right chart for your data

  We offer an interactive, decision tree-style tool, which examines the data you have and proposes a set of potentially appropriate visualizations to represent your dataset.

  https://www.kdnuggets.com/2018/08/data-visualization-right-chart.html

• Explaining the 68-95-99.7 rule for a Normal Distribution">Explaining the 68-95-99.7 rule for a Normal Distribution

  This post explains how those numbers were derived in the hope that they can be more interpretable for your future endeavors.

  https://www.kdnuggets.com/2018/07/explaining-68-95-99-7-rule-normal-distribution.html

• Cartoon: How is Data Science Different From Religion?

  This difference between Data Science and Religion is not what you expect ...

  https://www.kdnuggets.com/2018/07/cartoon-data-science-religion.html

• Packaging and Distributing Your Python Project to PyPI for Installation Using pip

  This tutorial will explain the steps required to package your Python projects, distribute them in distribution formats using steptools, upload them into the Python Package Index (PyPI) repository using twine, and finally installation using Python installers such as pip and conda.

  https://www.kdnuggets.com/2018/06/packaging-distributing-python-project-pypi-pip.html

• Data Engineer vs Data Scientist: the evolution of aggressive species

  This article looks at how the two "species" - data scientists and data engineers - harmonise and coexist.

  https://www.kdnuggets.com/2018/05/dsti-data-engineer-vs-data-scientist.html

• Data Science Interview Guide

  Traditionally, Data Science would focus on mathematics, computer science and domain expertise. While I will briefly cover some computer science fundamentals, the bulk of this blog will mostly cover the mathematical basics one might either need to brush up on (or even take an entire course).

  https://www.kdnuggets.com/2018/04/data-science-interview-guide.html

• Using Tensorflow Object Detection to do Pixel Wise Classification

  Tensorflow recently added new functionality and now we can extend the API to determine pixel by pixel location of objects of interest. So when would we need this extra granularity?

  https://www.kdnuggets.com/2018/03/tensorflow-object-detection-pixel-wise-classification.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

• The Python Graph Gallery

  Welcome to the Python Graph Gallery, a website that displays hundreds of python charts with their reproducible code snippets.

  https://www.kdnuggets.com/2017/11/python-graph-gallery.html

• Insights from Data mining of Airbnb Listings

  AirBnB has 2 million listings and operates in 65,000 cities. Here we look at insights related to vacation rental space in the sharing economy using the property listings data for Texas, US.

  https://www.kdnuggets.com/2017/08/insights-data-mining-airbnb.html

• Visualizing Convolutional Neural Networks with Open-source Picasso

  Toolkits for standard neural network visualizations exist, along with tools for monitoring the training process, but are often tied to the deep learning framework. Could a general, easy-to-setup tool for generating standard visualizations provide a sanity check on the learning process?

  https://www.kdnuggets.com/2017/08/visualizing-convolutional-neural-networks-open-source-picasso.html

• The Artificial ‘Artificial Intelligence’ Bubble and the Future of Cybersecurity

  What’s going on now in the field of ‘AI’ resembles a soap bubble. And we all know what happens to soap bubbles eventually if they keep getting blown up by the circus clowns (no pun intended!): they burst.

  https://www.kdnuggets.com/2017/06/kaspersky-artificial-intelligence-bubble-future-cybersecurity.html

• Is Blockchain the Ultimate Enabler of Data Monetization?

  Is blockchain the ultimate enabler of data and analytics monetization; creating marketplaces where companies, individuals and even smart entities (cars, trucks, building, airports, malls) can share/sell/trade/barter their data and analytic insights directly with others?

  https://www.kdnuggets.com/2017/04/blockchain-ultimate-enabler-data-monetization.html

• Evaluating HTAP Databases for Machine Learning Applications

  Businesses are producing a greater number of intelligent applications; which traditional databases are unable to support. A new class of databases, Hybrid Transactional and Analytical Processing (HTAP) databases, offers a variety of capabilities with specific strengths and weaknesses to consider. This article aims to give application developers and data scientists a better understanding of the HTAP database ecosystem so they can make the right choice for their intelligent application.

  https://www.kdnuggets.com/2016/11/evaluating-htap-databases-machine-learning-applications.html

• Battle of the Data Science Venn Diagrams">Battle of the Data Science Venn Diagrams

  First came Drew Conway's data science Venn diagram. Then came all the rest. Read this comparative overview of data science Venn diagrams for both the insight into the profession and the humor that comes along for free.

  https://www.kdnuggets.com/2016/10/battle-data-science-venn-diagrams.html

• Data Science of Sales Calls: The Surprising Words That Signal Trouble or Success

  While not as profound a problem as uncovering the secrets of the universe, how to conduct a successful sales conversation is an age-old problem, impacting millions of people every day.

  https://www.kdnuggets.com/2016/09/data-science-sales-calls-words-trouble-success.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

• 5 Ways in Which Big Data Can Help Leverage Customer Data

  Every business enterprise realizes the importance of big data but rarely puts the customer data that they possess to good use. Here are few ways enterprises can leverage customer data.

  https://www.kdnuggets.com/2016/05/5-ways-big-data-leverage-customer-data.html

• Anomaly Detection in Predictive Maintenance with Time Series Analysis

  How can we predict something we have never seen, an event that is not in the historical data? This requires a shift in the analytics perspective! Understand how to standardization the time and perform time series analysis on sensory data.

  https://www.kdnuggets.com/2015/12/anomaly-detection-predictive-maintenance-time-series-analysis.html

• 3D Data Sculptures: a New Way to Visualize Data

  3D printing can go beyond printing products like iPod cases, or butterfly earrings, and can offer a sustainable way to understand strategic DATA by printing decision support landscapes.

  https://www.kdnuggets.com/2015/08/3d-data-sculptures-visualize-data.html

• R vs Python for Data Science: The Winner is …

  In the battle of "best" data science tools, python and R both have their pros and cons. Selecting one over the other will depend on the use-cases, the cost of learning, and other common tools required.

  https://www.kdnuggets.com/2015/05/r-vs-python-data-science.html

• Seven Techniques for Data Dimensionality Reduction

  Performing data mining with high dimensional data sets. Comparative study of different feature selection techniques like Missing Values Ratio, Low Variance Filter, PCA, Random Forests / Ensemble Trees etc.

  https://www.kdnuggets.com/2015/05/7-methods-data-dimensionality-reduction.html

• Top KDnuggets tweets, Mar 16-18: 87 Studies shown that accurate numbers aren’t more useful than the ones you make up (Dilbert)

  Also Sirius - a free, open-source version of Siri; #PI art: the first 13,689 digits of pi; Great tutorial + #Python code: 1-Layer Neural Networks.

  https://www.kdnuggets.com/2015/03/top-tweets-mar16-18.html

• Predictions: 2015 Analytics and Data Science Hiring Market

  Thanks to Big Data, analytics have become inescapable. Forget the C-Suite if you’re not a Data Geek, recruiting for startups gets harder, analytics salary bands get a lift, and more 2015 predictions.

  https://www.kdnuggets.com/2015/01/predictions-2015-analytics-data-science-hiring-market.html

• Taming the Internet of Things – KNIME Case Study

  With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.

  https://www.kdnuggets.com/2014/09/taming-internet-things-knime-case-study.html

• Big Data Landscape, v 3.0, analyzed

  We analyze the Big Data Landscape and identify the most popular market segments in Analytics, Infrastructure, Applications, Open Source, and Data Sources categories. It is still early - only 4.5% of companies had exits.

  https://www.kdnuggets.com/2014/05/big-data-landscape-v30-analyzed.html

• Is Data Scientist the right career path for you? Candid advice

  Candid advice from an industry veteran reveals the true picture behind the much-talked-about Data Scientist "glamour" and helps people have the right expectations for a Data Science career.

  https://www.kdnuggets.com/2014/03/data-scientist-right-career-path-candid-advice.html

• Data Visualization Software

  Visualization sites | commercial software | free software Data360, a site where you can find, present and share data; created to provide clear context on Read more »

  https://www.kdnuggets.com/software/visualization.html

• Clustering and Segmentation Software

  Commercial Clustering Software BayesiaLab, includes Bayesian classification algorithms for data segmentation and uses Bayesian networks to automatically cluster the variables. ClustanGraphics3, hierarchical cluster analysis from Read more »

  https://www.kdnuggets.com/software/clustering.html

• Web Searching Software

  Digital Information Gateway (DIG), an advanced information sharing and retrieval solution for searching database servers, documents, web pages, and e-mail servers from a common user Read more »

  https://www.kdnuggets.com/software/web-searching.html

• Data Mining, Data Science, and Analytics News, Oct 2013

  All (109) | News, Software (30) | Courses, Events (28) | Jobs | Academic | Publications (32) Adjunct Faculty, develop and teach courses Data Mining, Read more »

  https://www.kdnuggets.com/2013/10/index.html

• KDnuggets™ News 13:n24, Oct 8

  Features (10) | Software (3) | Webcasts (4) | Courses, Events (4) | Meetings (2) | Jobs (7) | Academic (4) | Competitions (1) | Publications Read more »

  https://www.kdnuggets.com/2013/n24.html

• KDnuggets™ News 13:n20, Aug 16

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

  https://www.kdnuggets.com/2013/n20.html

• Data Mining / Analytic News, Aug 2013

  News, Software (33) | Courses, Events (28) | Jobs | Academic | Publications (31) Top Languages for analytics, data mining, data science - Aug 27, Read more »

  https://www.kdnuggets.com/2013/08/index.html

• Europe Degrees in Data Science, Machine Learning, AI and Analytics

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