Analytics Vidhya

DECEMBER 11, 2019

Overview Streaming data is a thriving concept in the machine learning space Learn how to use a machine learning model (such as logistic regression). The post How to use a Machine Learning Model to Make Predictions on Streaming Data using PySpark appeared first on Analytics Vidhya.

Machine Learning 306

Machine Learning Modeling Analytics Data Science 306

FineReport

DECEMBER 11, 2019

In the past few years, the term “data science” has been widely used, and people seem to see it in every field. “Big Data”, “Business Intelligence”, “ Data Analysis ” and “ Artificial Intelligence ” came into being. For a while, everyone seems to have begun to learn data analysis. However, before you get started, you can’t help but ask questions: is it suitable for me to learn data analysis?

Big Data 98

Big Data Statistics Experimentation Data Strategy 98

Jet Global

DECEMBER 11, 2019

Compliance is complicated. That’s the sentiment echoed by 800 senior compliance officers responding to a Thompson Reuters survey. When asked to rank their top challenges, most put managing continuing compliance changes at the top of the list. Every year, regulatory frameworks ranging from Sarbanes Oxley to the NCAA rules undergo updates and revisions.

Reporting 98

Reporting Risk Management Technology 98

KDnuggets

DECEMBER 11, 2019

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.

Deep Learning 85

Deep Learning Machine Learning Data Science Technology 85

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Data Science 101

DECEMBER 11, 2019

This weeks guest post comes from KDD (Knowledge Discovery and Data Mining). Every year they host an excellent and influential conference focusing on many areas of data science. Honestly, KDD has been promoting data science way before data science was even cool. 1989 to be exact. They have opened a call for papers for the 2020 conference. The details are below.

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KDD Knowledge Discovery Data mining Statistics 81

KDnuggets

DECEMBER 11, 2019

The second part in a series on leveraging techniques to take a look inside the black box of AI, this guide considers post-hoc interpretation that is useful when the model is not transparent.

Modeling 67

Modeling 67

Teradata

DECEMBER 11, 2019

Teradata's team of experts are chiming in on their top technology and business predictions for 2020 - from AI to Customer Experience to the Cloud. Read more!

Technology 72

Technology 72

KDnuggets

DECEMBER 11, 2019

Math for Programmers teaches you the math you need to know for a career in programming, concentrating on what you need to know as a developer.

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Alation

DECEMBER 11, 2019

Hundreds of data sources. Hundreds (even thousands) of data consumers. Millions of datasets. Gone are the days when static metadata repositories and manual curation were enough (if they ever really were). To keep up with the rapid influx of data, the many disparate data environments, and the rise in self-service analytics users, enterprises need an […].

Enterprise 52

Enterprise Metadata Analytics Machine Learning 52

bridgei2i

DECEMBER 11, 2019

Bangalore, December 10, 2019. BRIDGEi2i Analytics Solutions announced its inclusion among Analytics India Magazine(AIM)’s List of ‘Pioneer Organizations’ in the latest Penetration & Maturity Quadrant (PeMa) study. With more than 70+ contenders, AIM’s PeMa report is a benchmarking study that highlights the vendor’s leadership and competency on market penetration and maturity and also outlines key attributes and unique offerings.

Data Science 52

Data Science Contextual Data Consulting Data-driven 52

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management

Smarten

DECEMBER 11, 2019

Data Quality vs. Data Agility – A Balanced Approach! Sometimes we are so focused on perfection that we do not see the benefit of agility. Consider the emergence of the brainstorming concept as an example. We learned quite some time ago that if used the brainstorming concept of freewheeling, non-judgmental discussion we could bounce ideas off one another and often come up with innovative ideas that would not have resulted from a discussion that was more restrictive.

Data Quality 52

Data Quality Predictive Modeling Data-driven Visualization 52

KDnuggets

DECEMBER 11, 2019

NeurIPS 2019 is underway in Vancouver, and the committee has just recently announced this year's Outstanding Paper Awards. Find out what the selections were, along with some additional info on NeurIPS papers, here.

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datapine

DECEMBER 11, 2019

“Software as a service” (SaaS) is becoming an increasingly viable choice for organizations looking for the accessibility and versatility of software solutions and online data analysis tools without the need to rely on installing and running applications on their own computer systems and data centers. SaaS is taking over the cloud computing market. Gartner predicts that the service-based cloud application industry will be worth $143.7 billion by 2022—a level of growth that will shape SaaS trends

Software 314

Software Cost-Benefit Data Processing Data-driven 314

KDnuggets

DECEMBER 11, 2019

AI, Analytics, Machine Learning, Data Science, Deep Learning Research Main Developments and Key Trends; Down with technical debt! Clean #Python for #DataScientists; Calculate Similarity?-?the most relevant Metrics in a Nutshell.

Deep Learning 48

Deep Learning Machine Learning Data Science Metrics 48

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Data Science and Beyond

DECEMBER 11, 2019

Earlier this year, I gave a talk titled A Day in the Life of a Remote Data Scientist at the Data Science Sydney meetup. The talk covered similar ground to a post I published on remote data science work , with additional details on my daily schedule and projects, some gifs and Sydney jokes, heckling by the audience, and a Q&A session. I managed to watch it a few months ago without cringing too much, so it’s about time to post it here.

Data Science 93

Data Science Publishing Management IT 93

KDnuggets

DECEMBER 11, 2019

We asked top experts: What were the main developments in AI, Data Science, Deep Learning, and Machine Learning Research in 2019, and what key trends do you expect in 2020? Read their answers, and also check 10 Free Top Notch Machine Learning Courses; 4 Hottest Trends in Data Science; The Essential Toolbox for Data Cleaning, and more.

Machine Learning 45

Machine Learning Deep Learning Data Science Analytics 45

Sisense

DECEMBER 11, 2019

Blog. With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data.

Data Lake 80

Data Lake Big Data Sales Data-driven 80