The Future of Data Science: 8 Trends to Watch
Data science is evolving at a breakneck pace, with AI quickly transforming the way businesses operate and deliver value to customers. This rapid change brings fresh challenges and exciting opportunities for both newcomers and seasoned data pros. To thrive and stay competitive in this dynamic landscape, keeping up with these advancements is essential. That’s why […]
State of Data Science 2024 Report
State of Data Science 2024 Report AI and Open Source at Work This 7th annual report reveals insights about the data science community’s demographics, industry use cases, and trends related to artificial intelligence (AI), and open source at work. Learn more about these themes in the report: AI-Powered Transformation 87% of practitioners are increasing AI […]
Data-Driven Manufacturing: AI, ML, and Data Science
About this Webinar AI techniques like machine learning (ML) and deep learning (DL) offer new ways to optimize processes, automate workflows, detect anomalies, and reduce costs in manufacturing industries, with a potential value estimated at $2 trillion. However, these techniques can be tricky to implement and apply, with many potential pitfalls for the unwary. In […]
Secure by Design: How Conda Signature Verification Secures Your Software Pipeline from the Start
About this Webinar In this session, we discuss the content trust features in conda and the Anaconda Professional Repository. We’ll describe the design of conda’s package signature verification functionality and its trust architecture, and identify the threats they protect against. Finally, we’ll highlight what’s next for Anaconda content trust as we continue to work to […]
Building an OSS Governance Program for ML in the Enterprise
About this Webinar Open-source software (OSS) is at the heart of many of the innovations in machine learning (ML) due to its accessibility, flexibility, and active community support. As a result, many enterprise organizations are adopting or seeking to adopt OSS into their operations, product development, and marketable solutions. However, as with any software, OSS […]
Graph Analytics for Data Scientists
Analyzing data using conventional statistical methods involves looking at tabular data where data points are independent of each other, e.g. a person’s age is independent of any other person’s age. These approaches limit the insight that can be gained as there’s often knowledge hidden in how one data point relates to another. For example, two […]
Deploying Machine Learning to Apple Devices with coremltools
About this Webinar Machine learning has gone beyond the data center and is now being deployed to the devices we carry with us every day. It is becoming increasingly important for data scientists to understand how to prepare models for use on mobile devices and wearables. In this on-demand webinar, we will show you how […]
Efficient Data Preparation with Python
About this report Data discovery and data preparation have always been among the most time-intensive steps of a research project and for good reason: If there are unaddressed errors in data, or if the wrong version of data is used, there will be errors in the resulting analysis or model. In some cases these errors […]
Best Python Frameworks for Data Science, AI, & Web Development
Although the Python language is known for its simplicity and readability, much of its value is its extensive package ecosystem. Python makes it easy to install additional open-source packages from a centralized package repository to extend its functionality for specific use cases. It’s worth noting that Python has historically been used for data science, statistical computing, and […]
Mastering Python Data Visualization: A Comprehensive Guide
As datasets continue to become larger and more complex, even the most seasoned data experts can struggle to interpret the findings of data science work accurately. Data visualization has become a crucial aspect of data analytics and data science, helping practitioners drive business value with data. Many data science teams leverage data visualization to some degree, yet […]
