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

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Domino Data Lab

JULY 2, 2019

Introduction. Then click the Synthesize button in AutoPandas to get back a snippet of code in Python. Doesn’t this seem like a worthy goal for machine learning—to make the machines learn to work more effectively? Welcome back to our monthly burst of themespotting and conference summaries. Program Synthesis.

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Insight

DECEMBER 30, 2019

Wikipedia In our last blog , we walked through a super fast introduction of “vanilla” flavored neural networks. Let’s use our ninja skills to figure out what CNNs are really doing. Lauren Holzbauer was an Insight Fellow in Summer 2018. We talked about how a vanilla neural net is made up of one or more “hidden” layers. Let’s dig in!

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Domino Data Lab

FEBRUARY 4, 2019

Introduction. Spoiler alert: a research field called curiosity-driven learning is emerging at the nexis of experimental cognitive psychology and industry use cases for machine learning, particularly in gaming AI. Of course!!” Welcome back to our monthly series about data science. Modernists and structuralists beware.

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Domino Data Lab

MAY 8, 2019

Introduction. I’ve been out themespotting and this month’s article features several emerging threads adjacent to the interpretability of machine learning models. Machine learning model interpretability. Paco Nathan’s latest article features several emerging threads adjacent to model interpretability.

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Domino Data Lab

AUGUST 22, 2019

Many thanks to Addison-Wesley Professional for providing the permissions to excerpt “Natural Language Processing” from the book, Deep Learning Illustrated by Krohn , Beyleveld , and Bassens. The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. Introduction.

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Sisense

DECEMBER 11, 2019

In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. This was the key learning from the Sisense event heralding the launch of Periscope Data in Tel Aviv, Israel — the beating heart of the startup nation.

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CIO Business Intelligence

SEPTEMBER 6, 2023

Mercedes-Benz has long relied on machine learning and classic AI. The offer ranges from AI and machine learning for beginners, to the Prompt Engineering learning path, to training courses on programming languages ​​such as Python, deep learning and neural networks, reinforcement learning, RPA, and natural language processing.

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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.

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Deep Learning Machine Learning Visualization Data Science 110