CIO Business Intelligence

JANUARY 19, 2024

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. You need experience in machine learning and predictive modeling techniques, including their use with big, distributed, and in-memory data sets.

Data Science 126

Data Science Machine Learning Predictive Modeling Experimentation 126

CIO Business Intelligence

JUNE 14, 2023

Candidates are required to complete a minimum of 12 credits, including four required courses: Algorithms for Data Science, Probability and Statistics for Data Science, Machine Learning for Data Science, and Exploratory Data Analysis and Visualization. Organization: Google and Coursera Price: US$49 per month after a 7-day free trial period.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

DataRobot Blog

JULY 28, 2022

This article presents a case study of how DataRobot was able to achieve high accuracy and low cost by actually using techniques learned through Data Science Competitions in the process of solving a DataRobot customer’s problem. I thought of the solutions of the top team in a Data Science Competition for LANL Earthquake Prediction.

Data Science 72

Data Science Machine Learning Statistics Modeling 72

Smarten

JULY 3, 2017

By the time the user receives the report, the data may be outdated or it may be presented in a way that makes it difficult to interpret and use. Tools like plug n’ play predictive analysis and smart data visualization ensure data democratization and drastically reduce the time and cost of analysis and experimentation.

Predictive Modeling 40

Predictive Modeling Visualization Business Intelligence Experimentation 40

Occam's Razor

NOVEMBER 17, 2008

There is a tendency to think experimentation and testing is optional. So you don't have to worry about integrations with analytics tools, you don't have to worry about rushing to get a PhD in Statistics to interpret results and what not. So as my tiny gift for you here are five experimentation and testing ideas for you.

Testing 112

Testing Experimentation Risk Optimization 112

Domino Data Lab

AUGUST 22, 2019

In the present chapter [excerpt], we cover code that will enable you to create your own word vectors as well as to provide them as an input into a deep learning model. Although it’s not perfect, [Note: These are statistical approximations, of course!] Compiling the model (Example 11.20). Example 11.6

Deep Learning 111

Deep Learning Modeling Metrics Testing 111