Thu.Dec 15, 2022

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5 Python Projects for Data Science Portfolio

KDnuggets

Get more experience by working on web scraping, data analytics, time-series forecasting, machine learning, and deep learning projects.

Portfolio 147
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Safety First: Using vehicle data to make us all better drivers

Teradata

Vehicle data is invaluable in improving the safety & safe operation of vehicles for their occupants & other drivers. The next gen of vehicles will use real-time analysis to make driving even safer.

Data 105
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Tuning Adam Optimizer Parameters in PyTorch

KDnuggets

Choosing the right optimizer to minimize the loss between the predictions and the ground truth is one of the crucial elements of designing neural networks.

Designing 115
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Beyond the Hype: Blockchain is dead, long live blockchain by Colin Eberhardt

Scott Logic

In this episode, I’m joined by colleagues Oliver Cronk, Peter Chamberlin and Chris Price for a lively discussion about blockchain. We start by looking at the mechanics of bitcoin, and the economic incentive model formed by proof of work consensus. From there, we discuss enterprise or permission blockchain, which leads us to discuss some specific use cases, for example the oil market supply-chain challenges.

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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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Be prepared to manage the threat with an MS in Cybersecurity from Bay Path University

KDnuggets

Bay Path’s Master’s in Cybersecurity prepares students to step into the workforce and assume immediate responsibility for the management and oversight of such systems.

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Emerging Technologies: What Did Everyone Want To Know In 2022?

U-Next

Exploring the unknown and achieving new milestones every other day seems to be the norm of the 21 st century. Even at the peak of technological innovation the human’s hunger or determination to discover and innovate things never heard of before does not seem to be even mildly deterred even by a global pandemic. In fact, the pandemic only made us realize how much we do not know about the world we live in and how much more there is to know and discover.

More Trending

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Accelerating SIEM Migrations With the SPL to PySpark Transpiler

databricks

In this blog post, we introduce transpiler, a Databricks Labs open-source project that automates the translation of Splunk Search Processing Language (SPL) queries.

Project 52
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It’s Time for Financial Services to Bank on Data Observability

Acceldata

Data observability can data help banks and other finserv players drive growth and profit margins with data quality and data reliability.

Banking 52
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Why Startups Build on Databricks

databricks

In the 2010s, cloud infrastructures enabled a generation of startups to build and scale their businesses. In this decade, cloud infrastructure is table.

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KDnuggets Top Posts for November 2022: What is Chebychev’s Theorem and How Does it Apply to Data Science?

KDnuggets

What is Chebychev's Theorem and How Does it Apply to Data Science? • Git for Data Science Cheatsheet • 7 SQL Concepts Needed for Data Science • The Complete Data Engineering Study Roadmap •. Linux for Data Science Cheatsheet • Confusion Matrix, Precision, and Recall Explained • 9 Free Resources to Master Python • Matrix Multiplication for Data Science (or Machine Learning).

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Understanding User Needs and Satisfying Them

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

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Databricks Named a Leader in 2022 Gartner® Magic Quadrant™ for Cloud Database Management Systems

databricks

We are excited to announce that Gartner has recognized Databricks as a Leader for a second consecutive year in the 2022 Gartner Magic.

Systems 52
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Implement a Multi-Cloud Open Lakehouse with Apache Iceberg in Cloudera Data Platform

Cloudera

Since we announced the general availability of Apache Iceberg in Cloudera Data Platform (CDP), Cloudera customers, such as Teranet , have built open lakehouses to future-proof their data platforms for all their analytical workloads. Cloudera partners are also benefiting from Apache Iceberg in CDP. For example, Modak Nabu is helping their enterprise customers accelerate data ingestion, curation, and consumption at petabyte scale.

Cloud 77
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Building a Cybersecurity Lakehouse for CrowdStrike Falcon Events Part III

databricks

In Part I of this series, we walked through the process of setting up a Cybersecurity Lakehouse that allowed us to collect and.

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Accelerating Code Delivery By 97% With Yarn Workspaces

LinkedIn Engineering

As teams and applications experience growth, it���s critical to adopt architectures that optimize for clear code ownership, build isolation, and provide efficient delivery of code. While many projects start small with just one or two repositories (for example, frontend and backend), this approach often becomes difficult to maintain as the codebases expand.

Coding 55
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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

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.

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Roche adopts self-service analytics in ‘a perfect storm’

ThoughtSpot

Late last June, I had the opportunity to attend a ThoughtSpot User Group session in London and share how ThoughtSpot has impacted global procurement at Roche—notably how it’s helped my team not become a dashboard factory for the rest of our business. For 125 years, Roche has been making a difference in the lives of millions. Based out of Basel, Switzerland, we’re a multinational healthcare company with 100,000 plus employees that operates worldwide under two divisions: Pharmaceuticals and Diagno