Search results for Digital Venture Series A

Found 296 documents, 11354 searched:

• Predict Electricity Consumption Using Time Series Analysis">Predict Electricity Consumption Using Time Series Analysis

  ...onstant in this case as we can clearly see an upward trend. Hence, we have identified that our series is not stationary. We need to have a stationary series to do time series forecasting. In the next stage, we will try to convert this into a stationary series. Lets us plot the scatterplot:...

  https://www.kdnuggets.com/2020/01/predict-electricity-consumption-time-series-analysis.html

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

  ...ow each asset has been collapsed from ~260 days down to 1 signal time series feature observation. Recall the goal here was to classify synthetic time series vs real time series and not what the next days price is going to be. For each asset I have a signal observation and based on this I can train...

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

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

  ...). If the time series is non-stationary, we can often transform it to stationary by replacing it with its first order differences. That is, given the series x(t), we create the new series y(t) = x(t) - x(t-1). You can difference the data more than once, but the first order difference is usually...

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

• Stock Market Forecasting Using Time Series Analysis

  ...ast the stock prices on the test dataset keeping 95% confidence level. # Forecast fc, se, conf = fitted.forecast(544, alpha=0.05) # 95% confidence fc_series = pd.Series(fc, index=test_data.index) lower_series = pd.Series(conf[:, 0], index=test_data.index) upper_series = pd.Series(conf[:, 1],...

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

• Avoiding a Common Mistake with Time Series

  ...ding. For example, here is a graph of US Crude Oil Imports from Venezuela vs Consumption of High Fructose Corn Syrup:   The correlation of these series is 0.88. Now here are the time series after first-differences de-trending:   These time series look much less related, and indeed the...

  https://www.kdnuggets.com/2015/02/avoiding-common-mistake-time-series.html

• Detecting stationarity in time series data

  ...of these cycles makes them unpredictable (due to the underlying dynamic dominating lynx population, driven partially by available feed). This leaves series (b) as the only stationary series. If like me, you didn’t find at least some of these observations trivial to make by looking at the above...

  https://www.kdnuggets.com/2019/08/stationarity-time-series-data.html

• Time Series Analysis: A Primer">Time Series Analysis: A Primer

  ...epresent a single slice of time. However, we also have data collected over many periods - weekly sales data, for instance. This is an example of time series data. Time series analysis is a specialized branch of statistics used extensively in fields such as Econometrics and Operations Research....

  https://www.kdnuggets.com/2017/01/time-series-analysis-primer.html

• Time Series for Dummies – The 3 Step Process">Time Series for Dummies – The 3 Step Process

  ...nvolves the use of data that are indexed by equally spaced increments of time (minutes, hours, days, weeks, etc.). Due to the discrete nature of time series data, many time series data sets have a seasonal and/or trend element built into the data. The first step in time series modeling is to...

  https://www.kdnuggets.com/2018/03/time-series-dummies-3-step-process.html

• An End-to-End Project on Time Series Analysis and Forecasting with Python

  ...sis for furniture makes me curious about other categories, and how do they compare with each other over time. Therefore, we are going to compare time series of furniture and office supplier.   Time Series of Furniture vs. Office Supplies   According to our data, there were way more number...

  https://www.kdnuggets.com/2018/09/end-to-end-project-time-series-analysis-forecasting-python.html

• How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls">How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls

  ...or metrics can be very misleading, and one can easily be fooled into being overly confident in the model accuracy. Stationarity and differencing time series data A stationary time series is one whose statistical properties such as mean, variance, autocorrelation, etc. are all constant over time....

  https://www.kdnuggets.com/2019/05/machine-learning-time-series-forecasting.html

• Automated Feature Engineering for Time Series Data">Automated Feature Engineering for Time Series Data

  ...reprocessing the data, and exploring the potential to automate this process in order to apply advanced machine learning algorithms to almost any time series problem. Introduction Time series forecasting is one of the hardest problems in data science. It literally involves predicting future events...

  https://www.kdnuggets.com/2017/11/automated-feature-engineering-time-series-data.html

• Awards and Honors for KDnuggets

  ...nce Power 100, rise.global, Nov 2019. In 50 Most Popular AI Influencers of North America, AIthority, Sep 2019. Gregory Piatetsky/KDnuggets in Top 100 Digital Influencers, Digital Scouting, Sep 2019. In top 6 blogs on AI and Big Data, 4D Data Centres, Sep 2019. Gregory Piatetsky/KDnuggets no. 12 in...

  https://www.kdnuggets.com/about/awards.html

• How (not) to use Machine Learning for time series forecasting: The sequel">How (not) to use Machine Learning for time series forecasting: The sequel

  ...r argued that causality could be tested for by measuring the ability to predict the future values of a time series using prior values of another time series. A time series X is said to Granger-cause Y if it can be shown, usually through a series of t-tests and F-tests on lagged values of X (and...

  https://www.kdnuggets.com/2020/03/machine-learning-time-series-forecasting-sequel.html

• “Vite fait, bien fait” – Averaging improves both accuracy and speed of time series classification

  ...true weight than the estimates of most crowd members, and also much closer than any of the separate estimates made by cattle experts. Averaging time series The issue for time series is that averaging might be very complicated. The reason is that defining the mean is actually an optimization...

  https://www.kdnuggets.com/2014/12/averaging-improves-accuracy-speed-time-series-classification.html

• How To Painlessly Analyze Your Time Series

  ...of leveraging complex information to produce valuable insights. Experienced with both personnel and project management and effective at communicating results to interdisciplinary stakeholders. Original. Reposted with permission. Related: Time Series Classification Synthetic vs Real Financial Time...

  https://www.kdnuggets.com/2020/03/painlessly-analyze-time-series.html

• Introduction to Time Series Analysis in Python">Introduction to Time Series Analysis in Python

  ...ime-series dataset. These are: Loading time series dataset correctly in Pandas Indexing in Time-Series Data Time-Resampling using Pandas Rolling Time Series Plotting Time-series Data using Pandas   Loading time series dataset correctly in Pandas   Let’s load the dataset mentioned above in...

  https://www.kdnuggets.com/2020/09/introduction-time-series-analysis-python.html

• Autoregressive Models in TensorFlow

  ...ll learning rate was used to prevent overfitting. The autoregressive model was built using the daily minimum temperature in melbourne, Australia time series. This time series data did not need much preprocessing, i.e, only interpolating nan values. The clean dataset had ~3500 observations in total...

  https://www.kdnuggets.com/2018/08/autoregressive-models-tensorflow.html

• Understanding Time Series with R

  ...ough each of the steps of a time series analysis you’ve gained the basic intuition behind this incredibly complex area of data analysis. You can find the code from the article on GitHub.   Related: LSTM for time series prediction How To Painlessly Analyze Your Time Series Using Time Series...

  https://www.kdnuggets.com/2020/07/understanding-time-series-r.html

• Time Series Analysis with Generalized Additive Models

  ...ate models. Anomalous values or rapidly changing trends could upend any prediction efforts. Worse still, sudden shocks that permanently affect a time series could also render all past data as irrelevant. Therefore, time series analysis works best for trends that are steady and systematic, for which...

  https://www.kdnuggets.com/2017/04/time-series-analysis-generalized-additive-models.html

• Which Movie Sequels Are Really Better? A Data Science Answer

  …k.co 9 Movie Series Where Sequels That Are Better Than the Original The data indicates that more often than not, the order of release of a movie in a series is a good predictor of its IMDb rating. In our sample of 289 series, we found only 49 cases in which the first episode is not the one with the…

  https://www.kdnuggets.com/2015/10/movie-sequels-better-data-science.html

• Anomaly Detection in Predictive Maintenance with Time Series Analysis

  …ity and sensitivity. An optimization loop, maximizing the trigger accuracy, can also help to define the optimal threshold on the 2nd level alarm time series. Fig 3. “Time Series AR Deployment” workflow, applying models and generating 1st and 2 nd level alarms Once the models and alarm criteria are…

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

• Introduction to Pandas for Data Science

  ...h Numpy, you must be aware of the Broadcasting concept. Refer to this link if you are not familiar with the concept of broadcasting. Now using our newSeries Series, we will see operations performed using the broadcasting concept. newSeries + 5 Here, it added 5 to every single element in Series...

  https://www.kdnuggets.com/2020/06/introduction-pandas-data-science.html

• Combining Different Methods to Create Advanced Time Series Prediction

  ...in forecasting some events that occur over periods of time: for example prices, sales figures, volume of production etc. The existing models for time series prediction include the ARIMA models that are mainly used to model time series data without directly handling seasonality; VAR models,...

  https://www.kdnuggets.com/2016/11/combining-different-methods-create-advanced-time-series-prediction.html

• Unsupervised Investments: A Comprehensive Guide to AI Investors

  ...the Hive). In addition, one of the founding partners has been hosting an annual summit since a few years now to introduce startups to investors; MMC Ventures (London): MMC Ventures has more than £160M under management, 6.5% of which personally invested by MMC team members. In the past two years,...

  https://www.kdnuggets.com/2017/03/unsupervised-investments-guide-ai-investors.html

• Pandas Cheat Sheet: Data Science and Data Wrangling in Python">Pandas Cheat Sheet: Data Science and Data Wrangling in Python

  ...o always be as complete as you can be: if you want to get more information of a function or concept that is included into the Pandas library, such as Series, call pd.Series. Selection   When you finally have all the information that you need about Series and DataFrames, and you have imported...

  https://www.kdnuggets.com/2017/01/pandas-cheat-sheet.html

• Using Time Series Encodings to Discover Baseball History’s Most Interesting Seasons

  ...sulting dataframe: Piecewise Aggregate Approximation The first step of SAX encoding is performing PAA (Piecewise Aggregate Approximation) on the time series. This method splits the time series into n subsections and then uses the average of each subsection as its new value. Think of PAA as a way to...

  https://www.kdnuggets.com/2019/09/time-series-baseball.html

• SPOTLIGHT: Can Data Science Save Humanity from Mosquitoes and other Deadly Insects?

  ...owever, I realized that I could make a career out of just working on time series, because it is so ubiquitous. One a single day I have looked at time series recorded on Mars, and time series record from the brain activity of a mosquito. On a more pragmatic note, the rise of wearable computers and...

  https://www.kdnuggets.com/2014/10/spotlight-can-data-science-save-humanity.html

• CDO: to stay or to go?

  …eluctant to change. To take full advantage of digitalization without getting lost, business leaders are hiring experienced Sherpas to get them up the digital slopes: chief digital officers (CDO) (Note: CDO abbreviation is also used for Chief Data Officer) . The CDO is a new kid in town that is…

  https://www.kdnuggets.com/2016/12/cdo-stay-to-go.html

• Why Every Company Needs a Digital Brain

  …ta across all business units, departments, product lines and services, that gives the organization higher cognition. That’s why every company needs a digital brain to make their digital transformation come alive, else they risk incremental, short-sighted and superficial change. Much like human…

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

• Airbnb: Lessons on Digital, Startups, Big Data and Disrupting Markets

  …ur mobile app. In short it is convenient, but convenience is about the execution. All execution is digital and even the customer is recognized by the digital sign-in. Digital platforms and their great relevance to mobile phone users, in particular, are driving how we do business in the digital…

  https://www.kdnuggets.com/2016/01/airbnb-lessons-digital-startups-big-data-disruption.html

• LSTM for time series prediction

  ...de below is an implementation of a stateful LSTM for time series prediction. It has an LSTMCell unit and a linear layer to model a sequence of a time series. The model can generate the future values of a time series, and it can be trained using teacher forcing (a concept that I am going to describe...

  https://www.kdnuggets.com/2020/04/lstm-time-series-prediction.html

• CSC Venture Capital: Quantitative Analyst

  ...ve Analyst This position has been filled. Job Description: CSC Venture Capital is looking for a Quantitative Analyst to join the investment team. CSC Venture Capital is the Palo Alto based venture capital arm of CSC Group, one of the largest and most successful private equity and venture capital...

  https://www.kdnuggets.com/jobs/16/09-20-cscventurecapital-quantitative-analyst.html

• Leveraging Agent-based Models (ABM) and Digital Twins to Prevent Injuries

  ...ure, like that of an injury, but within a different domain.”   Introducing the Role of the Asset Avatars (Digital Twins)   An Asset Avatar (Digital Twin) is a digital representation of an industrial asset that enables companies to better understand and predict the performance of their...

  https://www.kdnuggets.com/2018/08/leveraging-agent-based-models-digital-twins-prevent-injuries.html

• Introduction to Forecasting with ARIMA in R

  ...d Decompose your data Does the series appear to have trends or seasonality? Use decompose() or stl() to examine and possibly remove components of the series Stationarity Is the series stationary? Use adf.test(), ACF, PACF plots to determine order of differencing needed Autocorrelations and choosing...

  https://www.kdnuggets.com/2017/01/datascience-introduction-forecasting-arima-r.html

• Visualizing Time-Series Change

  ...ng and applying data science solutions to real-world problems. As a Managing Consultant, Data Science for FI Consulting, Nick creates data science solutions for financial institutions. Original. Reposted with permission. Related: Avoiding a Common Mistake with Time Series Time Series Analysis: A...

  https://www.kdnuggets.com/2017/03/visualizing-time-series-change.html

• Monash U: Lecturer/Sr Lecturer Digital Health

  ...f Information Technology at Monash University is seeking to appoint up to 6 outstanding emerging academics to support a major strategic investment in Digital Health. Digital Health is a major driver of innovation and reform globally, leading to deep and positive change in healthcare systems across...

  https://www.kdnuggets.com/jobs/18/05-28-monash-lecturer-digital-health.html

• Modelling Time Series Processes using GARCH

  ..."urca") install.packages("fUnitRoots") install.packages("forecast") install.packages("fGarch") library(fGarch) # estimate GARCH and Forecast library(tseries) #used for time series data library(urca) #Used for checking Unit root Cointegration library(fUnitRoots) #Used for conducting unit root test...

  https://www.kdnuggets.com/2018/05/model-time-series-processes-garch.html

• Every time someone runs a correlation coefficient on two time series, an angel loses their wings

  ...very misleading. Let’s start with a simple example where you have only two data series, collected over time. This is hypothetical data, but let’s say Series 1 is the Dow Jones Industrial Average (DJIA) and Series 2 is the number of clicks to your blog. The eyeball test makes you think they are...

  https://www.kdnuggets.com/2018/06/correlation-coefficient-time-series-angel.html

• PokerStars: Business Intelligence – Digital Marketing Analyst

  ...ker, are looking for a talented Digital Marketing Analyst to join its Business Intelligence Team. The successful candidate will work closely with the Digital Marketing Team, in order to use data / analytics to contribute to the success of our digital marketing activities. Key Responsibilities...

  https://www.kdnuggets.com/jobs/16/10-24-pokerstars-business-intelligence-digital-marketing-analyst.html

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

  ...a collection requirements are met, and assists with development of new databases. Lead Architect, Data, Machine Learning and Deep Learning at Danaher Digital, San Jose, CA. - Sep 10, 2020. Danaher Digital is hiring for a new technology leader who will partner across the Danaher Operating Companies...

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

• Machine Learning Exercises in Python: An Introductory Tutorial Series">Machine Learning Exercises in Python: An Introductory Tutorial Series

  ...e network on the handwritten digits data set. Part 6 - Support Vector Machines We're now hitting the home stretch of both the course content and this series of blog posts. In this exercise, we'll be using support vector machines (SVMs) to build a spam classifier. We'll start with SVMs on some...

  https://www.kdnuggets.com/2017/07/machine-learning-exercises-python-introductory-tutorial-series.html

• Introduction to Geographical Time Series Prediction with Crime Data in R, SQL, and Tableau

  ...ng and key in on specific prediction modeling to handle each type.   What Next?   This tutorial got us started with doing geographical time series predictions using crime data. We can see that the predictions are definitely working, but there is more work to be done with creating...

  https://www.kdnuggets.com/2020/02/introduction-geographical-time-series-crime-r-sql-tableau.html

• Digital Transformation through Data Democratization

  …eak down the data silos and able to analyze vast data efficiently. A democratization of data is the first step in propelling any organization towards digital transformation path. “Data is the foundation of digital transformation”. According to Constellation research, 87 percent of successful…

  https://www.kdnuggets.com/2017/07/digital-transformation-data-democratization.html

• Digital Catapult Centre: Lead Technologist – Data (Permanent or Contract)

  Company: Digital Catapult Centre Location: London, UK Web: www.digitalcatapultcentre.org.uk/ We all know that data science, predictive analytics, machine learning, visualisation and big data processing techniques will change most industries if not turn them upside down. At the Digital Catapult...

  https://www.kdnuggets.com/jobs/15/07-18-catapult-lead-technologist-data.html

• Forecasting Stories 4: Time-series too, Causal too

  comments By Rajneet Kaur, Data Scientist Time-series and Causal prediction models   If every December peaks, will this one too? Time-series forecasting will tell you it will. But what if we increase price by 30%, will it peak, dip or remain stable? I remember some of the earliest lessons...

  https://www.kdnuggets.com/2020/06/forecasting-stories-4-time-series-causal.html

• DeepSense: A unified deep learning framework for time-series mobile sensing data processing

  ...motion sensor that report motion along x, y, and z axes. We collect sensor readings in each of these d dimensions at regular intervals (i.e., a time series), which we can represent in matrix form as follows: We’re going to process the data in non-overlapping windows of width τ. Dividing the...

  https://www.kdnuggets.com/2017/08/deepsense-unified-deep-learning-framework-time-series-mobile.html

• DMIR Research Group at the University of Wurzburg: Postdoctoral Researcher in Machine Learning for Time Series Analysis [Wurzburg, Germany]

  ...ll of these areas, we deal with temporally variable data, thus necessitating the application, development and research of methods in the area of time series analysis. We are especially interested in combining the analysis of temporal data with formally represented and existing knowledge. Your...

  https://www.kdnuggets.com/jobs/19/05-28-dmir-research-group-wurzburg-postdoctoral-researcher.html

• Deriving Better Insights from Time Series Data with Cycle Plots

  …ers and can be probed further. It can thus be concluded with the above example that cycle plots can be regarded as a useful tool for visualizing time series data. Original. Related: Anomaly Detection in Predictive Maintenance with Time Series Analysis Interview: Arijit Sengupta, CEO, BeyondCore on…

  https://www.kdnuggets.com/2016/03/better-insights-time-series-cycle-plots.html

• Mining Twitter Data with Python Part 5: Data Visualisation Basics

  ...# a list of "1" to count the hashtags ones = [1]* len(dates_ITAvWAL) # the index of the series idx = pandas.DatetimeIndex(dates_ITAvWAL) # the actual series (at series of 1s for the moment) ITAvWAL = pandas.Series(ones, index =idx) # Resampling / bucketing per_minute = ITAvWAL.resample('1Min', how...

  https://www.kdnuggets.com/2016/06/mining-twitter-data-python-part-5.html

• Southern Company: Web or Digital Analytics Technical Developer

  ...oordinate upgrades & new functionality with IT Work with stakeholders across the organization to increase understanding of the Tag Management and Digital Analytics implementation to extract its full value Work with analysts to be sure they can use the data captured to accomplish their original...

  https://www.kdnuggets.com/jobs/15/08-26-southerncompany-web-digital-analytics-technical-developer.html

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

  ...ive data analysis/reporting. The team is responsible for planning, design, and execution of complex/simultaneous A/B and multivariate testing for all digital experiences. The Director is a hands-on data driven person with the ability to collaborate across multiple teams, geographies and...

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

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

  ...Data, including social media data, customer web traffic data and inventory process logs. (12-month program, $17,972 full tuition) NEW EM Lyon MSc in Digital Marketing & Data Science. This MSc is a 18-month program designed to grow a new generation of leading marketing specialists – digital...

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

• Data-Planet Statistical Datasets

  ...earch. The repository continues to grow with new content and sources selected purposefully to best meet the needs of customers. Organization The time series are categorized and indexed with a subject vocabulary. Other points of entry to the data are provided editorially with the addition of rich...

  https://www.kdnuggets.com/2015/11/data-planet-statistical-datasets.html

• KDnuggets™ News 19:n15, Apr 17: Time Series Forecasting with Neural Nets and LSTM; Why Data Scientists Need To Work In Groups

  ...Data Scientists   Top Stories, Tweets Top Stories, Apr 8-14: How to Recognize a Good Data Scientist Job From a Bad One; An Introduction on Time Series Forecasting with Simple Neural Networks & LSTM Top March Stories: Another 10 Free Must-Read Books for Machine Learning and Data Science...

  https://www.kdnuggets.com/2019/n15.html

• KDnuggets™ News 20:n37, Sep 30: Introduction to Time Series Analysis in Python; How To Improve Machine Learning Model Accuracy

  ...at Scale Artificial Intelligence for Precision Medicine and Better Healthcare   Top Stories, Tweets Top Stories, Sep 21-27: Introduction to Time Series Analysis in Python; Machine Learning from Scratch: Free Online Textbook Top KDnuggets tweets, Sep 16-22: An overview of 63 #MachineLearning...

  https://www.kdnuggets.com/2020/n37.html

• Unsupervised Investments (II): A Guide to AI Accelerators and Incubators

  ...r five years. The first two companies, recently announced, are Iris.ai (science research assistant) and Illumr (organizational pattern detection); H2 Ventures (Sydney): H2 Ventures is an Australian venture capital specialized in fintech which will be running a first accelerator program for AI and...

  https://www.kdnuggets.com/2017/05/unsupervised-investments-guide-ai-accelerators-incubators.html

• Digital Shadows (London): Data Scientist

  Company: Digital Shadows Location: Canary Wharf, London, UK Web: www.digitalshadows.com Digital Shadows provides cyber monitoring services to high profile organisations. We're an award winning start-up, and since being founded in 2011 we haven't stopped growing. We've got ambitious plans for...

  https://www.kdnuggets.com/jobs/15/01-10-digitalshadows-data-scientist.html

• Interview: Haile Owusu, Mashable on Surviving Imprecision in Digital Media Analytics

  ...cond and last part of my interview with him: Anmol Rajpurohit: Q6. What are the most underrated challenges in tracking the consumption and sharing of digital media? Haile Owusu: Though I think it’s acknowledged that predicting broad scale social behavior is very difficult, our task is particularly...

  https://www.kdnuggets.com/2015/05/interview-haile-owusu-mashable-digital-media-analytics.html

• Top KDnuggets tweets, Feb 2-3: Avoiding a Common Mistake with Time Series; A New Year in Data Science, great overview

  ...ake with Time Series: use de-trending #DataScience #MachineLearning t.co/NFfPXC69x6 t.co/2WlHbRgYls Most Clicked: Avoiding a Common Mistake with Time Series: use de-trending #DataScience #MachineLearning t.co/NFfPXC69x6 t.co/2WlHbRgYls Top 10 most engaging Tweets Avoiding a Common Mistake with Time...

  https://www.kdnuggets.com/2015/02/top-tweets-feb02-03.html

• Accelerating Time Series Analysis with Automated Machine Learning

  ...y increased to support an ever-broader set of business needs. This shift pressures organizations to invest in technologies to manage and analyze time series data. Traditional statistical tools struggle to leverage multivariate inputs, uncover actionable insights and make an impact on actual...

  https://www.kdnuggets.com/2019/02/datarobot-accelerating-time-series-analysis-automated-machine-learning.html

• Forecasting Stories 3: Each Time-series Component Sings a Different Song

  ...ugging if one of the components and their percentage contribution has changed, can help. In R or Python, a one liner code such as plot(decompose(time_series)) or decompose(time_series, type='multiplicative') does the job. Now, why is it important and how could we interpret the results? A trend can...

  https://www.kdnuggets.com/2020/05/forecasting-stories-time-series-component-different-song.html

• September 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity

  ...nalytics Unit of San Diego-based Covario t.co/2xMI7x52fG Sep 17: TrueAccord, SF startup, launches #MachineLearning Debt Recovery Solution; raises $5M Series A t.co/PVsNDrbiRC Sep 17: Semmle, a B2B startup, gets $8M Series A from Accel to grow its software dev Analytics Platform t.co/Iyrmr4tvFU Sep...

  https://www.kdnuggets.com/2014/10/september-analytics-big-data-science-company-activity.html

• 10 Underrated Python Skills

  ...d: do not loop through dataframe rows — use the apply method instead Leverage NumPy arrays for more even efficient coding   #3— Simplifying time series analysis   Working with time series can be daunting. My bootcamp instructor showed up to class with a haunted look on the day he prepared...

  https://www.kdnuggets.com/2020/10/10-underrated-python-skills.html

• How to Build a Recurrent Neural Network in TensorFlow

  ...fferent parts in the time-series; steps 4 to 6, 16 to 18 and 28 to 30 in the current batch-example. The reason for using the variable names “plural”_”series” is to emphasize that the variable is a list that represent a time-series with multiple entries at each step. Schematic of the current batch...

  https://www.kdnuggets.com/2017/04/build-recurrent-neural-network-tensorflow.html

• A Guide For Time Series Prediction Using Recurrent Neural Networks (LSTMs)

  ...ce patterns can be used to predict future price behavior. In this article, we’ll tell you how to predict the future exchange rate behavior using time series analysis and by making use of machine learning with time series.   Sequence problems   Let us begin by talking about sequence...

  https://www.kdnuggets.com/2017/10/guide-time-series-prediction-recurrent-neural-networks-lstms.html

• From Insight-as-a-Service to Insightful Applications

  ...don't foresee the development of such applications leading to the complete elimination of connectors and data scientists. In the second post of this series, we noted that over the past few years, venture investors have been investing in three types of big data applications: shallow applications...

  https://www.kdnuggets.com/2016/05/simoudis-insight-service-insightful-applications.html

• What is the most important question for Data Science (and Digital Transformation)

  ...cy math,” and as passionate as I am about their power to make a positive impact on business, I also believe that starting with math misses the point. Digital transformation is a strategic imperative for business today, but math-driven technology alone will not drive transformative change, which...

  https://www.kdnuggets.com/2019/12/most-important-question-data-science.html

• Webinar: Natural Language Processing for Digital Transformation of Unstructured Text

  When: Tuesday, 10 December 2019, 11 am EST, 4 p.m. GMT Register here Life science organizations are embracing the digital revolution, but digital transformation demands data transformation, and this includes developing strategies to access information buried in unstructured text. Many top...

  https://www.kdnuggets.com/2019/12/copyright-webinar-natural-language-processing.html

• 3 Stages of Creating Smart

  ...rganization’s key business and operational processes. See the following blogs for an introduction into the Digital Transformation Value Map: It’s Not Digital Transformation; It’s Digital “Business” Transformation! – Part I It’s Not Digital Transformation; It’s Digital “Business” Transformation –...

  https://www.kdnuggets.com/2018/10/3-stages-creating-smart.html

• The Perpetual Quest for Digital Trust

  ...cts of life, this integrated data is a sweet spot for hackers to make the most from their malicious activities. Accenture recently released a report “Digital Trust in the IoT Era” summarizing results from the 2015 Accenture Digital Consumer Survey on consumer aspirations towards the security of...

  https://www.kdnuggets.com/2015/07/perpetual-quest-digital-trust.html

• Adobe: Product Analyst, Behance

  ...t and apps-websites, ads, video games, magazines, movies and images-across every screen. We focus on two market categories where content is critical: Digital Media and Digital Marketing. Producing and publishing the world's most compelling content is the heart of our Digital Media business, and...

  https://www.kdnuggets.com/jobs/13/12-11-adobe-product-analyst-behance.html

• New Online Data Science Tracks for 2017">New Online Data Science Tracks for 2017

  …ate R for Finance (Coming soon) Manipulating Time Series Data in R with xts & zoo Importing and Managing Financial Data in R Introduction to Time Series Analysis ARIMA Modeling with R Manipulating Time Series Data in R: Case Studies Introduction to Portfolio Analysis in R Intermediate Portfolio…

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

• KDnuggets™ News 15:n04, Feb 4: Top Big Data Influencers; A Common Mistake with Time Series; Ayasdi

  ...nevenly sized clusters. Avoiding a Common Mistake with Time Series - Feb 2, 2015. We explore a common mistake in analyzing relationships between time series, and show how de-trending helps to avoid this error. Interview: Anthony Bak, Ayasdi on Managing Data Complexity through Topology - Jan 28,...

  https://www.kdnuggets.com/2015/n04.html

• Top stories for Feb 1-7: Avoiding a Common Mistake with Time Series; Top Big Data Influencers and Brands

  Most viewed news items Avoiding a Common Mistake with Time Series - Feb 2, 2015. (Deep Learning's Deep Flaws)'s Deep Flaws - Jan 26, 2015. Two Most Important Trends in Analytics and Big Data in 2015 - Feb 6, 2015. Top Big Data Influencers and Brands - Feb 2, 2015. Data Science 102: K-means...

  https://www.kdnuggets.com/2015/02/top-news-week-feb-1.html

• KDnuggets™ News 20:n13, Apr 1: Effective visualizations for pandemic storytelling; Machine learning for time series forecasting

  ...week   Features COVID-19 Visualized: The power of effective visualizations for pandemic storytelling How (not) to use Machine Learning for time series forecasting: The sequel Deep Learning Breakthrough: a sub-linear deep learning algorithm that does not need a GPU? How To Painlessly Analyze...

  https://www.kdnuggets.com/2020/n13.html

• comScore: Lead Technical Analyst – Data Solutions

  ...data analysis and problem solving with large amounts of data Experience in building methodologies and custom data solutions Working knowledge of the digital media ecosystem such as advertising technology, Web analytics, targeting, publishing, digital agencies, etc. Ability to think creatively to...

  https://www.kdnuggets.com/jobs/15/05-30-comscore-lead-technical-analyst-data-solutions.html

• RetailMeNot: Principal Data Scientist, Attribution

  ...ited Kingdom; Deals.com in Germany; Actiepagina.nl, a leading digital offers site in the Netherlands; Bons-de-Reduction.com and Ma-Reduc.com, leading digital offers sites in France; Poulpeo.com, a leading digital offers site with cash back in France; and Deals2Buy.com, a leading digital offers site...

  https://www.kdnuggets.com/jobs/16/04-12-rmn-director-data-science-digital-attribution.html

• What Insurers in Asia doing about their digital transformation?

  ...e white paper here Get practical strategies to develop a strong customer focus and determined digital drive: Find out how to orchestrate a successful digital transformation: creating new digital customer-centric culture is extremely challenging and you need to ensure you are attracting the right...

  https://www.kdnuggets.com/2017/01/insurance-asia-digital-transformation.html

• Kohls: Manager, Digital Marketing Analytics

  ...etitive intelligence to drive business-critical decisions and able to present findings to Senior Leadership. PRIMARY RESPONSIBILITIES Responsible for Digital Attribution (data collection, tagging management, data integrity, advanced analytics & reporting) Responsible for story telling about the...

  https://www.kdnuggets.com/jobs/15/09-01-kohls-manager-digital-marketing-analytics.html

• Monash University: Lecturer/Sr Lecturer – Digital Health [Melbourne, Australia]

  ...ollows: Systems and Cybersecurity, Data Science, Education, Computer-Human Interaction and Creativity, and Organisational and Social Informatics. The Digital Health theme in the Faculty of Information Technology draws on capabilities in all the above areas, and is further grounded in collaborations...

  https://www.kdnuggets.com/jobs/18/11-22-monash-university-lecturer-digital-health.html

• CTC-CCT: Digital Research Analyst

  ...ling and consistent image of our country in the international tourism marketplace. Share our vision? The Canadian Tourism Commission is looking for a Digital Research Analyst to join its team. Reporting to the Executive Director, Strategy and Research, you'll develop strategies, tools, platforms...

  https://www.kdnuggets.com/jobs/14/09-29-ctc-digital-research-analyst.html

• Data Scientist/Senior Data Scientist

  ...ioral targeting on our websites, developing a multi-touch attribution models for our acquisition marketing, driving our real-time bidding strategy on digital advertising platforms, data mining of digital servicing uptake, etc... Qualifications The ideal candidate should demonstrate creativity,...

  https://www.kdnuggets.com/jobs/13/04-14-americanexpress-senior-data-scientist-b.html

• Digital Marketing Data Analytics, Sr. Manager

  ...7 percent reduction in marketing acquisition costs 5-40 percent reduction in marketing costs And more. We invite you to learn more . Job Summary: The Digital Marketing Senior Manager will work with Accenture clients to understand their digital marketing needs, and translate those needs into...

  https://www.kdnuggets.com/jobs/13/03-26-accenture-digital-marketing-data-analytics-sr-manager.html

• The Analytics of Digital Transformation, according to TCS

  ...ational big data requirements. The findings are published in several reports available online. (See the Tata Consultancy Services Web site, under the Digital Enterprise theme.) One of the key findings from these surveys was that many business leaders saw the impending digital transformation as...

  https://www.kdnuggets.com/2014/11/analytics-digital-transformation-tcs.html

• Discover the new MSc in Digital Marketing & Data Science

  ...MSc in Digital Marketing & Data Science       Become the new generation of marketing technologists       The MSc in Digital Marketing & Data Science is a 16-month programme designed to grow a new generation of leading marketing specialists – digital savvy...

  https://www.kdnuggets.com/2018/01/lyon-msc-digital-marketing-data-science.html

• Chief Data Officer Toolkit: Leading the Digital Business Transformation – Part 1

  ...an asset is reduced with the passage of time and/or usage. But data and analytic digital assets operate under the “rule of appreciation” where these digital assets become more valuable as they are 1) used simultaneously across multiple business processes and business initiatives and 2) the more...

  https://www.kdnuggets.com/2016/10/schmarzo-cdo-toolkit-leading-digital-business-transformation-part-1.html

• Interview: Jason Bloomberg, Intellyx on the Tricky Balance of Optimization and Innovation

  ...ntellyx advises companies on their digital transformation initiatives and helps vendors communicate their agility stories. Here’s how we define agile digital transformation: Digital -- Customer preferences and behavior drive enterprise technology decisions Transformation -- Internal organizational...

  https://www.kdnuggets.com/2015/02/interview-jason-bloomberg-intellyx-innovation.html

• Text Analytics 2015 – Technology and Market Overview

  ...learn about from the target’s perspective as well, “Well, this happened: We’ve been acquired by Innodata! .” (July 28, 2014) “Digital Reasoning Raises $24 Million in Series C Round Led by Goldman Sachs & Credit Suisse Next Investors.” Cognitive computing! (October...

  https://www.kdnuggets.com/2015/03/text-analytics-2015-technology-market-overview.html

• Aug 2015 Analytics, Big Data, Data Mining, Data Science Acquisitions, Startup roundup

  ...orative #analytics platform , raised $7.5M in a Series A #BigDataCo t.co/KySjcdEjKZ Aug 27: Zephyr Health, #healthcare #analytics firm, raises $17.5M Series C from Google Ventures #BigDataCo t.co/utT2LkKqxX Aug 15: Sysomos, social analytics firm, buys Expion, an enterprise social marketing platform...

  https://www.kdnuggets.com/2015/09/august-analytics-big-data-science-company-activity.html

• June 2014 Analytics, Big Data, Data Mining Acquisitions and Startups Activity

  ...sed Lingerie startup, uses #BigData to engineer the world's best bra #BigDataCo buff.ly/1s62UUq Curalate, visual analytics firm, gets $8.6 million in Series B funding, following Pinterest $200M raise #BigDataCo buff.ly/1oEAexZ Concurrent, SF-based startup, gets $10M Series B to catalyze the...

  https://www.kdnuggets.com/2014/07/june-analytics-big-data-science-company-activity.html

• KDnuggets™ News 19:n19, May 15: Data Scientist – Best Job of the Year!; How (not) to use Machine Learning for time series forecasting

  ...learning, and read a data science... poem?!?   Features Data Scientist - Best Job of the Year in USA How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls "Please, explain." Interpretability of machine learning models How to fix an Unbalanced Dataset Data...

  https://www.kdnuggets.com/2019/n19.html

• KDnuggets™ News 19:n41, Oct 30: Feature Selection: Beyond feature importance?; Time Series Analysis Using KNIME and Spark

  ...  Meetings |  Tops |  Jobs |  Image of the week   Features Feature Selection: Beyond feature importance? Time Series Analysis: A Simple Example with KNIME and Spark 5 Advanced Features of Pandas and How to Use Them How to Measure Foot Traffic Using Data...

  https://www.kdnuggets.com/2019/n41.html

• Salford: The Evolution of Regression: Hands-on Webinar Series, Mar 1, 15, 29, Apr 12

  The Evolution of Regression: An Upcoming Webinar Series (Hands-on Component) Registration: bit.ly/salford-systems-regression-webinar-series Regression is one of the most popular modeling methods, but the classical approach has significant problems. This free webinar series address these problems....

  https://www.kdnuggets.com/2013/02/salford-evolution-regression-hands-on-webinar-series.html

• Monash University: Research Fellow in Time Series Classification

  ...support our vision to lead and propel global IT research and education. In this role, you will conduct cutting-edge research into algorithms for Time Series Classification and Machine Learning from Data Streams, for projects funded by the Australian Research Council and by the US Air Force Research...

  https://www.kdnuggets.com/jobs/17/08-09-monash-australia-research-fellow-time-series.html

• Machine Learning 101: The What, Why, and How of Weighting

  ...19 World Series concluded. I’m going to contrast some predictions for that world series below. Spoiler Alert: I’m going to tell you who won the world series. The 2019 world series took place between the Washington Nationals and the Houston Astros Let’s investigate some models. I have an internal...

  https://www.kdnuggets.com/2019/11/machine-learning-what-why-how-weighting.html

• Monash University: Research Fellows, Statistical Learning, Time Series, Relational/Structural Learning [Melbourne, Australia]

  ...semi-supervised, multi-label and unsupervised deep neural networks in the context of multi-task learning and learning with limited supervision. Time series: work with Professor Geoff Webb, Dr Christoph Bergmeir, Dr Francois Petitjean, Dr Mahsa Salehi and Dr Levin Kuhlmann on research into...

  https://www.kdnuggets.com/jobs/19/06-07-monash-research-fellow-statistical-learning.html

• Seven Reasons to Take This Course Before You Go Hands-On with Machine Learning

  ...arning software tools.   What this adds up to: your learning objectives   Let’s take a step back and look at the whole point of this course series. After this course series, you will be able to: Participate in the application of machine learning, helping select between and evaluate...

  https://www.kdnuggets.com/2020/09/siegel-course-machine-learning.html

• Pear Therapeutics: Data Scientist [Boston, MA or San Francisco, CA]

  ...effective solutions for payors. About the Team At Pear Therapeutics, we have the privilege of working on the world’s first-ever class of prescription digital therapeutics. By inherent nature of our therapeutics as digital applications, we have access to unprecedented richness of data, thus...

  https://www.kdnuggets.com/jobs/18/09-26-pear-therapeutics-data-scientist.html

• Accenture: Artificial Intelligence Analytics Sr Manager

  ...tact_: Apply online. The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At...

  https://www.kdnuggets.com/jobs/17/08-09-accenture-artificial-intelligence-analytics-manager.html

• Accenture: Data Science Consultant

  ...tact_: Apply online. The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At...

  https://www.kdnuggets.com/jobs/17/08-09-accenture-data-science-consultant.html

• Monash University: Research Fellow (Digital Civics) [Melbourne, Australia]

  ...takes to be a part of an initiative within the Faculty of Information Technology, undertaking human-centred action-oriented research in the field of digital technologies for social justice? Collaborate with both doctoral students and academics in the planning and execution of the program of action...

  https://www.kdnuggets.com/jobs/18/11-22-monash-university-research-fellow.html

• Become the new generation of marketing technologists

  ...argherita Pagani, our "embassador" students and program advisor Thomas Cappelli.   Join the Q&A here   Why should you study a Master in Digital Marketing & Data Science? As the MSc in Digital Marketing & Data Science is now well into its second semester, we sat with...

  https://www.kdnuggets.com/2019/04/adcom-msc-digital-marketing-data-science-em-lyon.html

• Monash University: Lecturers / Senior Lecturers – Digital Health, Image Analytics [Melbourne, Australia]

  ...powering thinkers. The Opportunity Monash University Faculty of IT currently has a requirement for 2 x Lecturer / Senior Lecturer within the space of Digital Health - Image Analytics. Digital Health is a fascinating cross-university, cross-faculty, multidisciplinary space with enormous practical...

  https://www.kdnuggets.com/jobs/19/07-19-monash-lecturers-digital-health-image-analytics.html

• Accenture: Financial Services Analytics Senior Manager

  ...tact_: Apply online. The digital revolution is changing everything. It’s everywhere – transforming how we work and play. Are you leading the way as a digital disrupter? Accenture Digital is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. At...

  https://www.kdnuggets.com/jobs/17/08-09-accenture-financial-services-analytics-senior-manager.html

• Overcoming the Last Hurdle in the Quest for the “Holy Grail” of Marketing

  ...eters are in an all-too-familiar camp where cross-device linkages are dissolving beneath their feet due to this churn. Therefore it behooves any good digital marketer to seek the stable digital identities underlying a roiling sea of digital soup – where the cookies, IDs, audience segments, and CRM...

  https://www.kdnuggets.com/2017/02/quest-holy-grail-marketing.html

• Northwestern MOOC Specialization: “Social Marketing – How to Profit in a Digital World;” Lexalytics CMO Seth Redmore Featured Faculty Member

  ...t describes the types of strategies that work and gives you the tools you need to go out an implement them in your organization.” Hlavac, who teaches Digital, Social, and Mobile Marketing at Medill, is the author of the new book, Social IMC: Social Strategies with Bottom-Line ROI . He is also the...

  https://www.kdnuggets.com/2015/10/northwestern-lexalytics-mooc-social-marketing.html

• Vivaki: Senior Research Analyst, Analytics

  ...ts   Minimum Qualifications: 4-year college degree, preferably in Marketing, Mathematics, or related field Position requires at least 4 years of digital media experience and 3 years of some combination of media/digital analysis, and at least 1 year of POV, whitepaper writing experience Robust...

  https://www.kdnuggets.com/jobs/15/06-05-vivaki-senior-research-analyst-analytics.html

• iCrossing: Supervisor, Insights and Data Science

  ...development of business-assumption based and statistic based models which will be used to inform media investment strategies in partnership with the Digital Media Strategy team Demonstrates a strong knowledge of digital media data definitions in at least two channels and an understanding of...

  https://www.kdnuggets.com/jobs/14/10-23-icrossing-supervisor-insights-data-science-web-analytics.html

• Uber-fication: Lessons from Uber in Economics, Digital, Risk, and Analytics

  …an SUV to take to Costco (and must rent one or experience some other transportation costs), then shopping at Costco has great transactional cost. The digital app model to have your goods delivered to your house, available on phone is not just convenient, but it also reduces transaction costs. Key…

  https://www.kdnuggets.com/2015/12/walker-lessons-uber-economics-digital-risk-analytics.html

• Wells Fargo: Data Scientist

  ...n, partnering with product, marketing, credit risk, and loan operations teams to develop new digital card acquisition capabilities and offerings. The Digital Incubator will manage all aspects of digital card acquisition, from lead source prioritization, customer targeting and data measurement &...

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

• Big Data to Big Profits: Strategies for Monetizing Social, Mobile, and Digital Data with Data Science, Mar 23-24, San Francisco

  ...t use of data science for growth and innovation across your organization. In this course, you will learn: How to create, measure, and manage valuable digital, social, and mobile touch points with customers Strategies for monetizing big data Opportunities for creating data products How to lead a...

  https://www.kdnuggets.com/2017/01/northwestern-big-data-big-profits-course-san-francisco-march.html

• Contest 2nd Place: Automated Data Science and Machine Learning in Digital Advertising

  ...ion, scoring, and execution framework. The outlined technology is supported by a 13-person data science team and enables the execution of hundreds of digital campaigns with high performance simultaneously. References: 1 For a more detailed description of the system and the process used for building...

  https://www.kdnuggets.com/2016/08/automated-data-science-digital-advertising.html

• Mars: Digital Business Translator (Chicago, IL or Mount Olive, NJ)

  ...IL or Mount Olive, NJ Web: www.mars.com Position: Digital Business Translator _Contact_: Apply online. This is an exciting time at Mars. We’re using digital, data and user insights to transform our business by finding answers to problems that we’ve often never asked ourselves before. From joining...

  https://www.kdnuggets.com/jobs/18/08-17-mars-digital-business-translator.html

• Just How Smart Are Smart Machines?

  …IBM Watson, noted, “Watson doesn’t have the ability to think on its own,” and neither does any other intelligent system thus far created. PERFORMING DIGITAL TASKS One of the more pragmatic roles for cognitive technology in recent years has been to automate administrative tasks and decisions. In…

  https://www.kdnuggets.com/2016/12/davenport-how-smart-are-smart-machines.html

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

  ...stems. Slovakia/Austria. KUDWI, offering Business Analytics Consulting and training in R, Tableau, and more. Chennai, India and Toronto, Canada. Lake Digital LLC delivers best in class data management, data integration, and analytics services for digital marketing and advertising campaigns. Ohio...

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

• Every Intro to Data Science Course on the Internet, Ranked">Every Intro to Data Science Course on the Internet, Ranked

  ...ns University’s Data Science Specialization on Coursera or Udacity’s Data Analyst Nanodegree. These compilations of courses elude the purpose of this series: to find the best individual courses for each subject to comprise a data science education. The final three guides in this series of articles...

  https://www.kdnuggets.com/2017/03/every-intro-data-science-course-ranked.html

• The Internet of Things: An Introductory Tutorial Series

  ...nternet of Things and Smart Cities expert, as well as an experienced ICT & business consultant. He is the author of the book Building Blocks for IoT Analytics. Related: Difference Between Big Data and Internet of Things Data Science for Newbies: An Introductory Tutorial Series for Software...

  https://www.kdnuggets.com/2017/07/iot-internet-of-things-intro-tutorial-series.html

• Salford: The Evolution of Regression
  Free, Hands-on Webinar Series, Mar 15, 29, Apr 12

  ...near Regression Limitations Regression is one of the most popular modeling methods, but the classical approach has significant problems. This webinar series addresses these problems. Are you working with larger datasets? Is your data challenging? Does your data include missing values, nonlinear...

  https://www.kdnuggets.com/2013/03/salford-evolution-regression-hands-on-webinar-series.html

• The SIAM Book Series on Data Science

  Sponsored Post. SIAM is delighted to announce a new book series on Data Science. Books in the series will address state-of-the-art research on the mathematical foundations of data science and provide insight into the intuition behind its spectacular success. Ranging from monographs, in-depth...

  https://www.kdnuggets.com/2019/01/siam-book-series-data-science.html

• Angoss Video Series: Customer Analytics Roadmap

  ...to each of your customers that are most likely to be purchased. It doesn't matter which part of the customer analytics journey you are on, the video series is designed for you to choose any or all of the modules of interest, and at your convenience. We hope you enjoy the video series, and invite...

  https://www.kdnuggets.com/2013/05/angoss-video-series-customer-analytics-roadmap.html

• Angoss Video Series: Customer Analytics Roadmap

  …to each of your customers that are most likely to be purchased. It doesn’t matter which part of the customer analytics journey you are on, the video series is designed for you to choose any or all of the modules of interest, and at your convenience. We hope you enjoy the video series, and invite…

  https://www.kdnuggets.com/2013/06/angoss-video-series-customer-analytics-roadmap4.html

• Automated Machine Learning: How do teams work together on an AutoML project?">Automated Machine Learning: How do teams work together on an AutoML project?

  ...pre-processing steps: Detect the time series sample frequency (e.g., hourly, daily, weekly) and create new records for absent time points to make the series regular. A regular time series has a well-defined frequency and has a value at every sample point in a contiguous time span. Impute missing...

  https://www.kdnuggets.com/2020/01/teams-work-together-automl-project.html

• Angoss Video Series: Customer Analytics Roadmap

  ...to each of your customers that are most likely to be purchased. It doesn't matter which part of the customer analytics journey you are on, the video seriesis designed for you to choose any or all of the modules of interest, and at your convenience. We hope you enjoy the video series, and invite...

  https://www.kdnuggets.com/2013/06/angoss-video-series-customer-analytics-roadmap4.html

• Angoss Video Series: Customer Analytics Roadmap

  …to each of your customers that are most likely to be purchased. It doesn’t matter which part of the customer analytics journey you are on, the video series is designed for you to choose any or all of the modules of interest, and at your convenience. We hope you enjoy the video series, and invite…

  https://www.kdnuggets.com/2013/07/angoss-video-series-customer-analytics-roadmap4.html

• Top KDnuggets tweets, Nov 4-5: Venture capital in an age of algorithms; Stanford Big Data Mining Courses Online

  ...hru Dec 9 bit.ly/1b1VHdk Most Retweeted: Venture capital in an age of algorithms: using data science to fund startups buff.ly/1aYcHBf Most Favorited: Venture capital in an age of algorithms: using data science to fund startups buff.ly/1aYcHBf Top 10 Tweets Venture capital in an age of algorithms:...

  https://www.kdnuggets.com/2013/11/top-tweets-nov4-5.html

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

  ...peak is unstoppable. Meanwhile, that ongoing shiny marketing pyramid machine needs paying for – and it doesn’t come cheap. Let’s back up a bit here. Venture capitalism is called ‘venture’ capitalism as it involves risk. A good venture capitalist is one who knows where it’s best to place funds –...

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

• Top AI Resources – Directory for Remote Learning

  ...Women in AI Podcast - Women at the forefront of AI discuss their work and diversity issues faced in STEM - Listen here. The DeepMind Podcast - A new series that we hope will answer the difficult questions in AI - Listen here. Lex Fridman's AI Podcast - a series of conversations about technology,...

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

• Feb 2015 Analytics, Big Data, Data Mining Acquisitions and Startups Activity

  ...ches Linked #Data Analysis Platform for #security #analytics #BigDataCo t.co/x8HNzShKxt Feb 05: Manthan, India-based analytics solutions firm, closed Series D from Temasek, Norwest Venture Partners #BigDataCo t.co/nZ2ekwhQse Feb 02: SCIO Health Analytics buys Data Intelligence, UK-based provider of...

  https://www.kdnuggets.com/2015/03/february-analytics-big-data-science-company-activity.html

• SAP: Reimagine Predictive Analytics for the Digital Enterprise – free download

  ...ctive Analytics for the Digital Enterprise Unlock the power of predictive analytics today       Reimagine Predictive Analytics for the Digital Enterprise   Unlock the power of predictive analytics today   Learn more   Digital transformation is driving profound changes,...

  https://www.kdnuggets.com/2016/10/sap-reimagine-predictive-analytics-digital-enterprise.html

• Data Analytics Boosting Digital Engagement at Australian Open 2016

  Australian Open 2016 will be an unprecedented experience for every fan, thanks to the partnership between Tennis Australia and IBM. The next-generation fan experience will be powered by IBM’s Cognitive, Cloud, Analytics, Mobile, Social, Security and Systems solutions. Besides fan experience, this...

  https://www.kdnuggets.com/2016/01/data-analytics-digital-engagement-australian-open-2016.html