How do I become a data scientist? 

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According to LinkedIn, there has been a 37% annual growth in hiring for data scientist jobs between 2015-2019. The profession has topped their Emerging Jobs list for three years running, and the platform sees this level of rapid growth in data science roles across all industries. Businesses and organizations of all kinds now understand the […]

Getting Started with Deep Learning in the Enterprise

Deep learning (DL) is a form of artificial intelligence that utilizes neural networks and outperforms traditional machine learning in compute-intensive tasks such as image recognition and natural language processing. Until quite recently, only behemoths like Amazon or Google could afford to implement deep learning at scale. Today, most any company with a data scientist can […]

Selecting an Enterprise Platform for Python and Open Source: A Checklist for Buyers

Introduction Marc Andreessen famously opened an August 2011 blog article with this provocative sentence: “Software is eating the world.” His prediction was that software development would disrupt traditional industries. Indeed, companies like Airbnb, Netflix, and Uber emerged as just a few of many winners in the “on-demand” economy that disrupted industries like travel, entertainment, and […]

Leveraging AI for Enterprise Success: Insights for Leaders

Artificial intelligence (AI) stands at the forefront of technological evolution, offering unprecedented opportunities for enterprise organizations. AI is not just a technology or a tool—it is a pivotal cornerstone that will define the future of enterprises. Its applications transcend traditional boundaries, offering transformative solutions across various business functions. For example, over the past two years, […]

Building Data Science Solutions with Anaconda

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About this report Building Data Science Solutions with Anaconda is a comprehensive starter guide to building robust and complete models. The book covers everything you need to know about algorithm families and helps you build must-have skills such as building interpretable models and avoiding bias in data. By the end of the book, you’ll be able […]

Determine the Right DS Platform

Virtually every industry has embraced data science and machine learning as the next frontier for growth and innovation. Whether you have a full-fledged data science team building machine learning models or not, you’re probably wondering how to operationalize and scale your data science program. Our build versus buy whitepaper highlights the key considerations for evaluating […]

Enterprise Machine Learning

Creating Context for Data Scientist and Developer Collaboration n this report, we drill down into the developer and data scientist demographic from our 2019 State of Data Science survey of 5,000 users. From the data we find key differences and similarities between the two roles, including: Tool preferences Coding background Model delivery techniques In this […]

The Definitive Guide to AI Platforms for Open-Source Data Science and ML

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Artificial intelligence (AI) is undeniably and rapidly transforming life as we know it. Leading tech companies are investing heavily, and Google CEO Sundar Pichai has compared the impact of AI to electricity and fire. Organizations that have adopted AI to improve products and services are seeing significant financial returns on their investments. We are just beginning […]

Tech Talk: CAIO Unplugged

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Join us for an exclusive Tech Talk with Anaconda’s Chief AI and Innovation Officer and Co-founder, Peter Wang. In this interactive Q&A session, Peter shares expert insights on Python, AI, and the latest industry trends while answering key questions from participants. The discussion is moderated by Javvi Joyce Ferrer, Lifecycle Marketing Manager at Anaconda.  Don’t […]