Sat.Oct 07, 2023 - Fri.Oct 13, 2023

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7 High Paying Side Hustles for Data Scientists

KDnuggets

This article serves as a guide for the data professional who wants to earn more in these trying times.

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The insideBIGDATA IMPACT 50 List for Q4 2023

insideBIGDATA

The team here at insideBIGDATA is deeply entrenched in keeping the pulse of the big data ecosystem of companies from around the globe. We’re in close contact with the movers and shakers making waves in the technology areas of big data, data science, machine learning, AI and deep learning. Our in-box is filled each day with new announcements, commentaries, and insights about what’s driving the success of our industry so we’re in a unique position to publish our quarterly IMPACT 50 List.

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9 key probability distributions in data science: Easy explanation

Data Science Dojo

In the realm of data science, understanding probability distributions is crucial. They provide a mathematical framework for modeling and analyzing data. Understand the applications of probability in data science with this blog. 9 probability distributions in data science – Data Science Dojo Explore probability distributions in data science with practical applications This blog explores nine important data science distributions and their practical applications. 1.

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LLM Inference Performance Engineering: Best Practices

databricks

In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).

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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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Rust Burn Library for Deep Learning

KDnuggets

A new deep learning framework built entirely in Rust that aims to balance flexibility, performance, and ease of use for researchers, ML engineers, and developers.

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Keeping a Level Head during AI Implementation

insideBIGDATA

In this contributed article, Frank Laura, Chief Technology Officer at EngageSmart (NYSE: ESMT), discusses why CIOs and CTOs need to bring AI into businesses safely, securely, and legally. AI will enable CIOs and their teams to shift focus away from tactical and/or repetitive work towards creating innovative solutions for their teams and customers.

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Automation Generation, UiPath Widens Scope With Autopilot Assistant

Adrian Bridgwater for Forbes

UiPath is making workplace automation functions more accessible for software developers & data scientists - and for business laypersons too.

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Comparing Natural Language Processing Techniques: RNNs, Transformers, BERT

KDnuggets

RNN, Transformers, and BERT are popular NLP techniques with tradeoffs in sequence modeling, parallelization, and pre-training for downstream tasks.

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Microsoft’s Quest for the Next Killer App

insideBIGDATA

In this contributed article, Gordon McKenna, VP of Cloud Evangelist & Alliances at Ensono, discusses the situation with Microsoft strongly backing OpenAI, what can we expect the future to look like? Microsoft’s investment into OpenAI was a clear move for the company to align itself with the next killer app that would drive engagement on Azure cloud.

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How to Build LLM Apps Using Vector Database?

Analytics Vidhya

Introduction In the field of artificial intelligence, Large Language Models (LLMs) and Generative AI models such as OpenAI’s GPT-4, Anthropic’s Claude 2, Meta’s Llama, Falcon, Google’s Palm, etc., have revolutionized the way we solve problems. LLMs use deep learning techniques to perform natural language processing tasks. This article will teach you to build LLM Apps […] The post How to Build LLM Apps Using Vector Database?

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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Llama 2 Foundation Models Available in Databricks Lakehouse AI

databricks

We’re excited to announce that Meta AI’s Llama 2 foundation chat models are available in the Databricks Marketplace for you to fine-tune and dep.

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Unlocking GPT-4 Summarization with Chain of Density Prompting

KDnuggets

Unlock the power of GPT-4 summarization with Chain of Density (CoD), a technique that attempts to balance information density for high-quality summaries.

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How Can Platform Engineers Thrive in the Age of AI?

insideBIGDATA

In this contributed article, lead systems and DevOps engineer Manish Sharma discusses how platform engineering is a constantly developing field, and the advent of AI will likely accelerate the pace of change. Engineers can prepare for and adapt to the coming shifts by keeping up to date with developments in AI, including the increasing number of available AI tools and their applications for platform engineering.

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Leading With Data: Building a Data Driven Organization with Srikanth Velamakanni

Analytics Vidhya

Analytics Vidhya’s ‘Leading With Data’ is a series of interviews where industry leaders share their experiences, career journeys, interesting projects, and more. In the 5th episode of the series, we are joined by a very special guest – Mr. Srikanth Valamakanni. He is the Group CEO, Co-founder, and Vice-Chairman of Fractal Analytics, one of the […] The post Leading With Data: Building a Data Driven Organization with Srikanth Velamakanni appeared first on Analytics Vidhya.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Edge computing in 2023: International data science trends

Data Science Dojo

In today’s world, technology is evolving at a rapid pace. One of the advanced developments is edge computing. But what exactly is it? And why is it becoming so important? This article will explore edge computing and why it is considered the new frontier in international data science trends. Understanding edge computing Edge computing is a method where data processing happens closer to where it is generated rather than relying on a centralized data-processing warehouse.

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Best Practices for Building ETLs for ML

KDnuggets

This article talks about several best practices for writing ETLs for building training datasets. It delves into several software engineering techniques and patterns applied to ML.

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Announcing public preview of Databricks Assets Bundles: Apply software development best practices with ease

databricks

We are delighted to announce that Databricks Asset Bundles are now in public preview. Bundles, for short, facilitate the adoption of software engineering.

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Unlocking Creativity with Advanced Transformers in Generative AI

Analytics Vidhya

Introduction In the ever-evolving landscape of artificial intelligence, one name has stood out prominently in recent years: transformers. These powerful models have transformed the way we approach generative tasks in AI, pushing the boundaries of what machines can create and imagine. In this article, we will delve into the advanced applications of transformers in generative […] The post Unlocking Creativity with Advanced Transformers in Generative AI appeared first on Analytics Vidhya.

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Data erasure – Data protection in the modern digital landscape

Data Science Dojo

Data erasure is a software-based process that involves data sanitization or in plain words ‘data wiping’ so that no traces of data remain recoverable. This helps with the prevention of data leakage and the protection of sensitive information like trade secrets, intellectual property, or customer information. By 2025, it is estimated that data will grow up to 175 Zettabytes, and with great data comes great responsibility.

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Exploring Data Mesh: A Paradigm Shift in Data Architecture

KDnuggets

Let’s explore Data Mesh, a modern approach to data architecture that decentralizes data ownership and management.

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Databricks Obtains ISO 27701 Certification

databricks

We’re excited to announce that Databricks has obtained the International Standards Organization (ISO) 27701 certification as a data processor. This certification reflects our c.

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OpenAI’s GPT-4V(ision): A Breakthrough in AI’s Multimodal Frontier

Analytics Vidhya

In a groundbreaking move reshaping the landscape of artificial intelligence, OpenAI has unveiled GPT-4 with vision, aptly named GPT-4V. This new iteration empowers users to harness the combined might of language and visual data. Thus unlocking unprecedented capabilities that promise to revolutionize our interactions with AI. Here, we delve into this latest advancement and explore […] The post OpenAI’s GPT-4V(ision): A Breakthrough in AI’s Multimodal Frontier appeared first on A

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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Reinforcement Learning: Balancing Exploration and Exploitation

insideBIGDATA

In this contributed article, Anthony Chong, CEO/Co-Founder of IKASI, discusses the three types of machine learning approaches, the benefits and requirements of each, and offer examples of how organizations are applying these tactics to address real world business challenges.

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Accelerate Your Machine Learning Journey with Uplimit’s Metaflow Mastery Course

KDnuggets

Ready to take your machine learning skills to new heights? Dive into the world of Metaflow with us and elevate your expertise with Uplimit's Full-Stack Machine Learning with Metaflow course!

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Scalable, In-House Quality Measurement with a NCQA-Certified Engine on the Lakehouse

databricks

This blog was written in collaboration with David Roberts (Analytics Engineering Manager), Kevin P. Buchan Jr (Assistant Vice President, Analytics), and Yubin Park.

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A MLOps-Enhanced Customer Churn Prediction Project

Analytics Vidhya

Introduction When we hear data science, the first thing that comes to mind is building a model on notebooks and training the data. But this is not the situation in real-world data science. In the real world, data scientists build models and put them into production. The production environment has a gap between the development, […] The post A MLOps-Enhanced Customer Churn Prediction Project appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Video Highlights: Make Better Decisions with Data — with Dr. Allen Downey

insideBIGDATA

In this video presentation, our good friend Jon Krohn, Co-Founder and Chief Data Scientist at the machine learning company Nebula, is joined by Dr. Allen Downey, renowned author and professor, who shares insights from his upcoming book 'Probably Overthinking It,' breaking down underused techniques like Survival Analysis, explaining common paradoxes, discussing the dynamic Overton Window, and how to be prepared for Black Swan events.

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AI and Open Source Software: Separated at Birth?

KDnuggets

In this article, Luis shares with readers his thoughts on the intersection of open source software and machine learning and what the future might bring. Many articles cover how open source software is used by the machine learning community but this post focuses on the similarities between the two areas of practice and what machine learning can and can’t learn from open source software.

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Databricks and Shell collaborate to simplify industrial time series data analytics on the Lakehouse

databricks

Written in partnership with Shell. The energy industry is all about physical assets – from terminals, ships and pipelines to refineries and wind f.

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How to Learn Machine Learning Online?

Analytics Vidhya

Introduction Machine learning is a highly developing domain of technology at present. This technology allows computer systems to learn and make decisions without technical programming. It has a variety of applications, including recognizing patterns, data analysis, and improving performance over time. This guide on how to learn machine learning online will introduce you to the […] The post How to Learn Machine Learning Online?

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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.