Fri.Dec 01, 2023

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10 GitHub Repositories to Master Machine Learning

KDnuggets

The blog covers machine learning courses, bootcamps, books, tools, interview questions, cheat sheets, MLOps platforms, and more to master ML and secure your dream job.

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Building Trust in Public Sector AI Starts with Trusting Your Data

Cloudera

Recent Government Initiatives on Public Sector AI Solutions In recent years, governments across the globe have recognized the transformative potential of artificial intelligence (AI) and have embarked on initiatives to harness this technology to drive innovation and serve their citizens more effectively. These government-led efforts have had a profound impact on the development and adoption of AI solutions in the public sector, paving the way for a future where data-driven decision-making and au

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Free MIT Course: TinyML and Efficient Deep Learning Computing

KDnuggets

Curious about optimizing AI for everyday devices? Dive into the complete overview of MIT's TinyML and Efficient Deep Learning Computing course. Explore strategies to make AI smarter on small devices. Read the full article for an in-depth look!

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dbt Core, Snowflake, and GitHub Actions: pet project for Data Engineers

Towards Data Science

Pet Project for Data/Analytics Engineers: Explore Modern Data Stack Tools — dbt Core, Snowflake, Fivetran, GitHub Actions. Photo by Gaining Visuals on Unsplash Here is a simple and fast pet project for Data/Analytics Engineers, who want to kick the tires on Modern Data Stack tools including dbt Core, Snowflake, Fivetran, and GitHub Actions. This hands-on experience will allow you to develop an end-to-end data lifecycle, from extracting data from your Google Calendar to presenting it in a Snowfl

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Building Predictive Models: Logistic Regression in Python

KDnuggets

Image by Author When you are getting started with machine learning, logistic regression is one of the first algorithms you’ll add to your toolbox.

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Databricks Insurance: Live in the Guidewire Marketplace

databricks

To mark the announcement of Databricks listing in Guidewire Marketplace, Marcela Granados, our GTM Director for Insurance, Justin Fenton, Senior Director, Alliances, sat.

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What is Last-Mile Delivery? Common Challenges and Solutions

Precisely

When was the last time you shopped online and had a package shipped to you? Or skipped the cooking and had takeout delivered to your door? For consumers, behaviors like these have become so ingrained in our day-to-day lives that we barely give these delivery practices much thought – until something goes wrong. No one wants to track down a package that was mistakenly delivered to a neighbor’s home, or to have a fresh pizza delivered cold.

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The New Generative AI Function in BigQuery

Towards Data Science

How to use BigQuery GENERATE_TEXT remote function Continue reading on Towards Data Science »

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Trojan Horse Virus: What It is and How to Get Rid of Them?

Knowledge Hut

Trojan horse viruses are one of the most utilized security threats today. We will have a detailed walkthrough on topics like what is trojan horse, what trojan horse means in terms of cyber security and cyber attacks, what a trojan horse does, how a trojan horse can impact individual users on the web, companies, and organizations, and steps to protect yourself from trojan horse attacks?

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Please Use Streaming Workload to Benchmark Vector Databases

Towards Data Science

Why static workload is insufficient and what I learned by comparing HNSWLIB and DiskANN using streaming workload Image by DALLE-3 Vector databases are built for high-dimensional vector retrieval. Today, many vectors are embeddings generated by deep neural nets like GPTs and CLIP to represent data points such as pieces of text, images, or audio tracks.

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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How to Do Load Testing with Rockset

Rockset

What is load testing and why does it matter? Load testing is a critical process for any database or data service, including Rockset. By doing load testing, we aim to assess the system’s behavior under both normal and peak conditions. This process helps in evaluating important metrics like Queries Per Second (QPS), concurrency, and query latency. Understanding these metrics is essential for sizing your compute resources correctly, and ensuring that they can handle the expected load.

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