Analytics Vidhya

SEPTEMBER 11, 2019

Overview A data-science-driven product consists of multiple aspects every leader needs to be aware of Machine learning algorithms are one part of a whole. The post 4 Key Aspects of a Data Science Project Every Data Scientist and Leader Should Know appeared first on Analytics Vidhya.

Data Science 278

Data Science Data-driven Machine Learning Analytics 278

KDnuggets

SEPTEMBER 11, 2019

As compute gets cheaper and time to market for machine learning solutions becomes more critical, we’ve explored options for speeding up model training. One of those solutions is to combine elements from Spark and scikit-learn into our own hybrid solution.

Machine Learning 122

Machine Learning Marketing Modeling 122

Teradata

SEPTEMBER 11, 2019

AI & Deep Learning allow organizations to maximize player performance while minimizing player risk through better insights from performance and wellness data.

Deep Learning 98

Deep Learning Risk 98

KDnuggets

SEPTEMBER 11, 2019

Online hate speech is a complex subject. Follow this demonstration using state-of-the-art graph neural network models to detect hateful users based on their activities on the Twitter social network.

Machine Learning 103

Machine Learning Modeling Analytics 103

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.

Jedox

SEPTEMBER 11, 2019

Even though we have so much advanced technology surrounding us, we still cannot just ask, “ Hey Siri, what’s my forecasted EBITDA look like ?” There are many reasons why such technology isn’t available yet—insufficient data, unstructured data and some human knowledge that is not yet transferable to machine. However, there are many available technology tools that can simplify planning tasks and make planning and budgeting easier and far more accurate for finance professionals.

Forecasting 59

Forecasting Experimentation Sales Unstructured Data 59

KDnuggets

SEPTEMBER 11, 2019

Data Driven Government is coming to Washington, DC, Sep 26, and includes a stellar lineup of experts who will share the emerging trends and best practices of government agencies in the current use of data analytics to enhance mission outcomes. Use code KDNUGGETS to get 15% off.

Data-driven 80

Data-driven Data Analytics Analytics Predictive Analytics 80

KDnuggets

SEPTEMBER 11, 2019

How one person overcame rejections applying to Data Scientist positions by getting actual data on who is getting hired; Advice from Andrew Ng on building ML career and reading research papers; 10 Great Python resources for Data Scientists; Python Libraries for Interpretable ML,

52

52

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. Business intelligence steps up into this process by creating a comprehensive perspective of data, enabling teams to generate actionable insights on their own.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

KDnuggets

SEPTEMBER 11, 2019

Python Libraries for Interpretable Machine Learning; How #AI will transform #healthcare (and can it fix US healthcare system?); Building Recommendation System - an overview ; I wasn't getting hired as a Data Scientist. So I sought data on who is.

Machine Learning 49

Machine Learning IT 49

Dataiku

SEPTEMBER 11, 2019

In the world of data science, machine learning, and AI, there is no shortage of tools - both open source and commercial - available. This inevitably spurs the age-old software question of build vs. buy for AI projects and platforms.

Data Science 14

Data Science Machine Learning Software 14

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

DataRobot

SEPTEMBER 11, 2019

It is well-known that the AI revolution is transforming industries and businesses around the world. In this AI Simplified video, we define supervised machine learning and share some ways the military leverages this technology to maintain safety and ensure preparedness.

Machine Learning 12

Machine Learning Technology IT 12

Data Virtualization

SEPTEMBER 11, 2019

At Vancouver Coastal Health, we provide health care services to roughly a million people through a broad network of hospitals, primary care clinics, community health centers, and residential care homes. I lead the Decision Support team, which delivers analytical and.

Data Warehouse 8

Data Warehouse Analytics Data Integration 8

DataRobot Blog

SEPTEMBER 11, 2019

Financial Planning and Analysis (FP&A) business professionals are responsible for mapping out a company’s financial future. They transform company goals into actionable plans by analyzing the current state of financial management affairs, then take the time to create a roadmap plan that details how to reach the destination. . Creating those plans require ingesting massive amounts of data resources, aggregating, cleansing, and standardizing that data, and then performing analysis on the finis

Forecasting 52

Forecasting Visualization Sales Interactive 52

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena. Strata attracts the leading names in the fields of data management, data engineering, analytics, ML, and artificial intelligence (AI).

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

Management

Perceptual Edge

SEPTEMBER 11, 2019

[Note: To make it easy for you to read this article offline and to share it with others, I’ve made a PDF version available as well.]. Almost all data visualizations are multivariate (i.e., they display more than one variable), but there are practical limits to the number of variables that a single graph can display. These limits vary depending on the approach that’s used.

Visualization 88

Visualization Sales Software Data Processing 88