FineReport

DECEMBER 19, 2019

For super rookies, the first task is to understand what data analysis is. Data analysis is a type of knowledge discovery that gains insights from data and drives business decisions. One is how to gain insights from the data. Data is cold and can’t speak. Pure data analysis results are not helpful.

Knowledge Discovery 98

Knowledge Discovery Visualization Experimentation Reporting 98

Domino Data Lab

FEBRUARY 12, 2020

Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. Introduction. If you’re wondering if Ray should be part of your technical strategy for Python-based applications, especially ML and AI, this post is for you. If your team has started using

Experimentation 137

Experimentation Modeling Data Science Management 137

Insight

AUGUST 12, 2019

Introduction Motivation is a great start, but you’ll need the discipline to prepare effectively. For system administrators, operations engineers, and others with strong systems and software backgrounds, there’s perhaps no better time than the present to transition into DevOps. How do you ace your DevOps interview?

Software 65

Software Data-driven Testing Interactive 65

Domino Data Lab

JULY 2, 2019

Paco Nathan ‘s latest article covers program synthesis, AutoPandas, model-driven data queries, and more. Introduction. In other words, using metadata about data science work to generate code. In this case, code gets generated for data preparation, where so much of the “time and labor” in data science work is concentrated.

Metadata 105

Metadata Machine Learning Data Science Data-driven 105

Domino Data Lab

SEPTEMBER 9, 2019

This article provides a brief introduction to natural language using spaCy and related libraries in Python. Introduction. This article and paired Domino project provide a brief introduction to working with natural language (sometimes called “text analytics”) in Python using spaCy and related libraries.

Deep Learning 110

Deep Learning Machine Learning Visualization Data Science 110

Cloudera

FEBRUARY 8, 2023

For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. For convenience purposes I chose to limit the scope of this exercise to a specific function that prepares the data prior to the churn analysis. distinct().collect() distinct().collect()

Measurement 56

Measurement Testing Cost-Benefit ROI 56

Insight

AUGUST 16, 2019

The industry demand for Data Engineers is constantly on the rise, and with it more and more software engineers and recent graduates try to enter the field. The biggest hurdle for newcomers lies in understanding the Data Engineering landscape and getting hands-on experience with relevant frameworks. Want to Become a Data Engineer?

Big Data 51

Big Data Data Science Data Processing Machine Learning 51