Analytics Vidhya

FEBRUARY 11, 2022

This article was published as a part of the Data Science Blogathon. […]. The post 11 Extensions to Power Up your Jupyter Notebook appeared first on Analytics Vidhya.

Data Science 316

Data Science Publishing Analytics 316

KDnuggets

FEBRUARY 11, 2022

Here are a few approaches that I have settled on for managing my own reusable Python code as a data scientist, presented from most to least general code use, and aimed at beginners.

Management 159

Management 159

Cloudera

FEBRUARY 11, 2022

In recent years, Ethical AI has become an area of increased importance to organisations. Advances in the development and application of Machine Learning (ML) and Deep Learning (DL) algorithms, require greater care to ensure that the ethics embedded in previous rule-based systems are not lost. This has led to Ethical AI being an increasingly popular search term and the subject of many industry analyst reports and papers.

Machine Learning 96

Machine Learning Sales Data Science Modeling 96

KDnuggets

FEBRUARY 11, 2022

So how much math do you need to know in order to work in the data science industry? The answer: Not as much as you think.

Machine Learning 159

Machine Learning Data Science 159

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

Dataiku

FEBRUARY 11, 2022

Every year, our Dataiku Lab team presents their annual findings for up-and-coming machine learning (ML) trends in a webinar, based on the extensive work they do in ML research all year. This year, though, we wanted to take a new approach and, instead of solely highlighting the cutting-edge research trends in the space for 2022, we wanted to root that research in reality with real-life data science and AI projects from 2021.

Data Science 59

Data Science Modeling Machine Learning 59

Andrew White

FEBRUARY 11, 2022

Market concentration in most markets has increased: The few organizations that already dominate a market have tended to pull ahead of those that follow. In economic parlance of the OECD, the “frontier firms” have taken an ever greater market share and so market concentration has increased. The result is less competition, and to any economist, this implies numerous bad things.

Marketing 52

Marketing Sales Measurement Software 52

Nutanix

FEBRUARY 11, 2022

2 New Tools to Help you Choose the Right Nutanix Certification.

26

26

The Data Visualisation Catalogue

FEBRUARY 11, 2022

Here you can find a list of all the research found on the Arc Diagram. An Arc Diagram is a visualisation that displays nodes placed along a single line for a one-dimensional axis and connects the nodes with arcs to show the relationship between the nodes. A lot of the papers here are focused on the mathematical side of Arc Diagrams and look at subjects such as graph theory and combinatorics rather than purely on data visualisation.

Visualization 111

Visualization Interactive IT 111

DataRobot Blog

FEBRUARY 11, 2022

In the first part of the “Ever-growing Importance of MLOps” blog, we covered influential trends in IT and infrastructure, and some key developments in ML Lifecycle Automation. This second part will dive deeper into DataRobot’s Machine Learning Operations capability, and its transformative effect on the machine learning lifecycle. DataRobot’s Robust ML Offering.

Machine Learning 52

Machine Learning Cost-Benefit ROI Data Processing 52