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 […]
Best AI Development Tools: 2025 Guide
The demand for AI-powered solutions continues to grow at an incredible rate. From healthcare and finance to retail and manufacturing, organizations are eager to capitalize on artificial intelligence’s outsized business value. However, the journey from concept to deployment of AI applications is fraught with pitfalls and challenges, particularly without the right tools. As AI models become […]
Python for Data Science: A Complete Guide
Data science is a large and growing field that empowers organizations to make data-driven decisions and improve their operations. Those just getting started with data science will need to learn a programming language like Python to interact with computers, work with data, and build powerful AI and machine learning models. Python’s popularity as a programming […]
Python for Data Analysis: When and How to Use It
Modern businesses collect more data than ever, creating a pressing demand for powerful data analysis tools and skilled data analysts. In fact, data analysis is now a valuable skill in almost every professional industry. The field of data analysis can be overwhelming at first. Still, it’s easier to understand with the right tools — particularly Python. Python […]
Introduction to Python in Excel
Webinar Description Open-source tools are transforming AI and machine learning (ML) initiatives across industries. From accelerating innovation to addressing pressing security, compliance and scalability concerns, this report—developed by Anaconda in partnership with ETR—offers actionable insights into how enterprises are navigating the opportunities and challenges of open-source AI. Key topics include: Taking your first steps Understanding […]