Rocket-Powered Data Science

JULY 7, 2019

Computer Vision: Data Mining: Data Science: Application of scientific method to discovery from data (including Statistics, Machine Learning, data visualization, exploratory data analysis, experimentation, and more). See [link]. Edge Computing (and Edge Analytics): Industry 4.0: Industry 4.0 4) Prosthetics.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Cloudera

FEBRUARY 16, 2022

blueberry spacing) is a measure of the model’s interpretability. Before we can understand how model lineage is managed and subsequently audited, we first need to understand some high-level constructs within CML. Each workspace is associated with a collection of cloud resources. The complete list is shown below: Model Lineage .

Machine Learning 81

Machine Learning Modeling Metadata Recreation/Entertainment 81

Domino Data Lab

MAY 8, 2019

Software engineering made major breakthroughs two decades ago by applying reductionist techniques to project planning and management. The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. measure the subjects’ ability to trust the models’ results.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. First, you figure out what you want to improve; then you create an experiment; then you run the experiment; then you measure the results and decide what to do.

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

The Unofficial Google Data Science Blog

OCTOBER 12, 2017

Implicitly, there was a prior belief about some interesting causal mechanism or an underlying hypothesis motivating the collection of the data. As computing and storage have made data collection cheaper and easier, we now gather data without this underlying motivation. Is it actionable?

Experimentation 61

Experimentation Testing Statistics Metrics 61

Domino Data Lab

FEBRUARY 4, 2019

We’ll unpack curiosity as a core attribute of effective data science, look at how that informs process for data science (in contrast to Agile, etc.), and dig into details about where science meets rhetoric in data science. That body of work has much to offer the practice of leading data science teams. Friction ensued.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Insight

MARCH 12, 2020

Much like the challenge faced by hiring managers, literary agents can receive thousands of pitches every year, and there is no easy way to triage them. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata.

Modeling 59

Modeling Metadata Publishing Sales 59

Domino Data Lab

OCTOBER 2, 2019

This article covers causal relationships and includes a chapter excerpt from the book Machine Learning in Production: Developing and Optimizing Data Science Workflows and Applications by Andrew Kelleher and Adam Kelleher. As data science work is experimental and probabilistic in nature, data scientists are often faced with making inferences.

Machine Learning 68

Machine Learning Measurement Modeling Testing 68

Occam's Razor

DECEMBER 12, 2016

But first, let me do something a bit more expansive and share all the key elements necessary to ensuring an analytics existence that can help create a high-impact data-influenced organization. Google Tag Manager. You live or die by the data you collect, and the quality of that data. Management. Qubit is one.

Analytics 141

Analytics Data-driven Strategy Consulting 141

Cloudera

JUNE 6, 2019

As the user and workload count in the shared cluster increases, cluster admins tend to become increasingly sophisticated in leveraging various resource management & multi-tenancy features that we offer within a cluster to maintain order. Cloudera Manager (CM) 6.2 Cloudera Manager 6.2 2) By workload type.

Metadata 85

Metadata Data Lake Optimization Strategy 85

Occam's Razor

SEPTEMBER 15, 2014

But why blame others, in this post let's focus on one important reason whose responsibility can be squarely put on your shoulders and mine: Measurement. Create a distinct mobile website and mobile app measurement strategies. Media-Mix Modeling/Experimentation. Google Tag Manager is one such solution. It is free.

Metrics 141

Metrics Reporting Analytics Marketing 141

Occam's Razor

MARCH 23, 2010

Too many new things are happening too fast and those of us charged with measuring it have to change the wheels while the bicycle is moving at 30 miles per hour (and this bicycle will become a car before we know it – all while it keeps moving, ever faster). . ~ It has simply not had a break to catch a breath and mature. Likely not.

Analytics 118

Analytics Consulting Metrics Experimentation 118

Occam's Razor

AUGUST 13, 2012

Yehoshua Coren: Best ways to measure user behavior in a multi-touch, multi-device digital world. What's possible to measure. What's not possible to measure. We all have smart phones, laptops, tablets and soon Smart TVs – but most of our measurements are usually done in Cookies that are device/browser specific.

Modeling 124

Modeling Metrics Data Quality Data-driven 124

Occam's Razor

OCTOBER 19, 2010

But overinvest in people and everything that is required to make those people successful: invest in process, invest in their training, invest in large monitors for them, invest in backing them up against senior management, invest in involving them in key business strategy meetings, invest in… you catch my drift). Three tools.

Analytics 135

Analytics Testing Measurement Optimization 135

datapine

JANUARY 31, 2022

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. Ultimately, business intelligence and analytics are about much more than the technology used to gather and analyze data.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Occam's Razor

JANUARY 7, 2014

The organization functions off a clearly defined Digital Marketing & Measurement Model. #1. Remember none of these jobs will do any data collection/IT work, even in medium-sized companies.) More on the Digital Marketing & Measurement Model, DMMM, in #2 below.). Four Useless KPI Measurement Techniques. #9:

Data-driven 140

Data-driven Consulting Reporting Marketing 140

Occam's Razor

APRIL 29, 2013

That is also a way to get people to sync the data analysis (not data puking, sorry I meant data reporting) with the speed at which the company actually makes decisions (data > analyst > manager > director > VP > question back to manager > yells at the analyst > back to director> VP = 6 days).

Marketing 166

Marketing Metrics Advertising Measurement 166

Occam's Razor

OCTOBER 12, 2017

The tiny downside of this is that our parents likely never had to invest as much in constant education, experimentation and self-driven investment in core skills. With that context, this post is all about career management in the digital space. This reality powers my impostor syndrome, and (yet?) It is now all on you.

Marketing 136

Marketing Analytics Machine Learning Strategy 136