7 High Paying Side Hustles for Data Scientists
KDnuggets
OCTOBER 9, 2023
This article serves as a guide for the data professional who wants to earn more in these trying times.
KDnuggets
OCTOBER 9, 2023
This article serves as a guide for the data professional who wants to earn more in these trying times.
insideBIGDATA
OCTOBER 11, 2023
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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Data Science Dojo
OCTOBER 8, 2023
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.
databricks
OCTOBER 12, 2023
In this blog post, the MosaicML engineering team shares best practices for how to capitalize on popular open source large language models (LLMs).
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?
KDnuggets
OCTOBER 13, 2023
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.
insideBIGDATA
OCTOBER 10, 2023
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.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Adrian Bridgwater for Forbes
OCTOBER 10, 2023
UiPath is making workplace automation functions more accessible for software developers & data scientists - and for business laypersons too.
KDnuggets
OCTOBER 11, 2023
RNN, Transformers, and BERT are popular NLP techniques with tradeoffs in sequence modeling, parallelization, and pre-training for downstream tasks.
insideBIGDATA
OCTOBER 7, 2023
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.
Analytics Vidhya
OCTOBER 12, 2023
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?
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!
databricks
OCTOBER 10, 2023
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.
KDnuggets
OCTOBER 9, 2023
Unlock the power of GPT-4 summarization with Chain of Density (CoD), a technique that attempts to balance information density for high-quality summaries.
insideBIGDATA
OCTOBER 13, 2023
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.
Analytics Vidhya
OCTOBER 11, 2023
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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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.
Data Science Dojo
OCTOBER 11, 2023
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.
KDnuggets
OCTOBER 12, 2023
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.
databricks
OCTOBER 11, 2023
We are delighted to announce that Databricks Asset Bundles are now in public preview. Bundles, for short, facilitate the adoption of software engineering.
Analytics Vidhya
OCTOBER 7, 2023
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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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?
Data Science Dojo
OCTOBER 12, 2023
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.
KDnuggets
OCTOBER 13, 2023
Let’s explore Data Mesh, a modern approach to data architecture that decentralizes data ownership and management.
databricks
OCTOBER 9, 2023
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.
Analytics Vidhya
OCTOBER 11, 2023
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
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.
insideBIGDATA
OCTOBER 10, 2023
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.
KDnuggets
OCTOBER 12, 2023
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!
databricks
OCTOBER 13, 2023
This blog was written in collaboration with David Roberts (Analytics Engineering Manager), Kevin P. Buchan Jr (Assistant Vice President, Analytics), and Yubin Park.
Analytics Vidhya
OCTOBER 11, 2023
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.
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.
insideBIGDATA
OCTOBER 8, 2023
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.
KDnuggets
OCTOBER 9, 2023
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.
databricks
OCTOBER 9, 2023
Written in partnership with Shell. The energy industry is all about physical assets – from terminals, ships and pipelines to refineries and wind f.
Analytics Vidhya
OCTOBER 12, 2023
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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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.
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