5 Free Courses to Master Python for Data Science
KDnuggets
FEBRUARY 7, 2024
Want to learn Python to kickstart your career in data? Here are five free courses to help you master Python for data science.
KDnuggets
FEBRUARY 7, 2024
Want to learn Python to kickstart your career in data? Here are five free courses to help you master Python for data science.
Confluent
FEBRUARY 7, 2024
Confluent has hired many Noteable employees to help make application development easier for both Kafka and Flink developers.
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KDnuggets
FEBRUARY 7, 2024
This code based tutorial provides a brief introduction to Sentiment Analysis, a method used to predict emotions, similar to a digital psychologist.
Cloudera
FEBRUARY 7, 2024
How enterprise-grade data management creates better and more efficient care. In the last few years, the acceptance of telehealth has become more widespread as patients and providers found they could maintain continuity through phone and video collaboration, instead of in-person visits. In many cases, a level of care that once required a drive to the clinic or hospital could be delivered over a mobile phone or laptop, with no travel and no waiting room.
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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?
KDnuggets
FEBRUARY 7, 2024
Intel offers a thrilling glimpse into the next generation of AI, showcasing the power of Camel-5b and Open LLaMA 3B LLMs.
Snowflake
FEBRUARY 7, 2024
Earlier this year at Snowflake Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time. In this post, we provide our biannual update to showcase the latest improvements. The Snowflake performance philosophy Our product philosophy revolves around a continuous quest to enhance Snowflake performance, with a particular focus on refining the core database engin
Data Engineering Digest brings together the best content for data engineering professionals from the widest variety of industry thought leaders.
Precisely
FEBRUARY 7, 2024
The Precisely Women in Technology (PWIT) program was first established to create a space for women in the organization to come together. As the program has evolved throughout the years, more and more resources have become available to women such as mentorship opportunities on both sides; fireside chats with leaders; a book club; and, much more. Each month, a member from the network is selected to participate in a Q&A to share more about her experience as a woman in technology.
WeCloudData
FEBRUARY 7, 2024
Online Shopping Redefined: Predicting Shopper Behavior with Machine Learning The post Online Shopping Redefined: Predicting Shopper Behavior with Machine Learning appeared first on WeCloudData.
Engineering at Meta
FEBRUARY 7, 2024
While deploying Precision Time Protocol (PTP) at Meta, we’ve developed a simplified version of the protocol (Simple Precision Time Protocol – SPTP), that can offer the same level of clock synchronization as unicast PTPv2 more reliably and with fewer resources. In our own tests, SPTP boasts comparable performance to PTP, but with significant improvements in CPU, memory, and network utilization.
Robinhood
FEBRUARY 7, 2024
Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information and investing. Together, we are building products and services that help create a financial system everyone can participate in. … Authored by: Grace L., Chandra K. and Sreeram R. from Robinhood Data Infrastructure Robinhood adheres to a data-first philosophy.
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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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