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ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING

Explore Artificial Intelligence (AI) and Machine Learning Content

Upside Articles

Research & Resources

Webinars

  • What's Ahead in Data Management in 2021?

    The webinar panel brings together a panel of experts, moderated by Philip Russom, TDWI’s lead analyst for data management, to discuss the hottest trends in data management, including: data volumes, structures, sources, interfaces, and latencies; new data platforms; data management in the cloud; data catalogs and glossaries, and machine learning and AI. December 17, 2020 view now

  • What’s Ahead in Analytics in 2021?

    This webinar brings together a panel of experts, moderated by Fern Halper, TDWI’s lead analyst for advanced analytics, to discuss the hottest trends in analytics, including machine learning, NLP, AI, augmented intelligence, MLOps for analytics, and evolving data platforms to support analytics. December 16, 2020 view now

  • Data Science in the Cloud: Five Factors You Need to Know

    Learn what uses cases belong in the cloud, why leaving data in the cloud for analytics is so important, and the evolving architectures for cloud data science. November 4, 2020 view now

  • Accelerating out of the COVID Curve: How AI and Analytics Are Making Work-from-Home IT Smarter and More Effective

    In this timely webinar, we'll explore specific ways digital transformation is making work-from-home IT smarter and more effective. We'll examine pre- and post-COVID-19 case studies, hardware implications, analytics software capabilities for enabling transformation, and a data-input-to-data-center view of leading practices in current environment. October 29, 2020 view now

  • Six Critical Factors for Machine Learning Success

    Machine learning requires the capacity to collect, manage, and access large amounts of accurate and diverse data, the ability to create new features and train models, and must be able to deploy, monitor, and update models in production. Learn about six factors to make machine learning a success. September 24, 2020 view now

  • One Source of Truth: Optimize Your Data Lake Pipeline for Faster Business Insights

    Leaders from TDWI, Qlik, and AWS will share how an end-to-end platform can deliver a single source of truth for data analytics and provide actionable insights. They’ll explain trends in AI and analytics that require diverse data sources and discuss how to leverage an enterprise data catalog. April 22, 2020 view now

Team Training

  • Hands-on Machine Learning with TensorFlow

    Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks. more

  • Hands-on Applied Machine Learning in R

    R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. Common algorithms such as regression, clustering, and classification are explained, applied, and evaluated using R. more

  • Hands-on Machine Learning in R: Advanced Techniques

    R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. more

  • Hands-on Machine Learning with Python

    Python is one of the most popular languages used in machine learning, data science, and predictive analytics. In this hands-on course, you will how to use Python, scikit-learn, and lightgbm to create regression and decision tree models. You will leave with complete code examples that you can use and build on in your own work. more

  • Machine & Deep Learning: Delivering Insights from Big Data

    Today, data is more than just a corporate asset. As data consumers, we’ve become accustomed to having up-to-the-minute analytics for any event that might affect our business or personal lives. We’re becoming used to the influence of IoT in our homes, cities, clothing, phones, and more—and the resulting instant access to analytics. more

  • Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights

    Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. more

Upcoming Event Courses

  • Hands-on Machine Learning with TensorFlow

    Machine and deep learning capabilities are in demand, and Python is the fastest-growing tool in machine and deep learning. TensorFlow is a Python library for fast numerical computing created and released by Google that is used in deep learning and primarily focuses on neural networks. more

  • Hands-on Applied Machine Learning in R

    R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. Common algorithms such as regression, clustering, and classification are explained, applied, and evaluated using R. more

  • Hands-on Machine Learning in R: Advanced Techniques

    R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. more

  • Hands-on Machine Learning with Python

    Python is one of the most popular languages used in machine learning, data science, and predictive analytics. In this hands-on course, you will how to use Python, scikit-learn, and lightgbm to create regression and decision tree models. You will leave with complete code examples that you can use and build on in your own work. more

  • Machine & Deep Learning: Delivering Insights from Big Data

    Today, data is more than just a corporate asset. As data consumers, we’ve become accustomed to having up-to-the-minute analytics for any event that might affect our business or personal lives. We’re becoming used to the influence of IoT in our homes, cities, clothing, phones, and more—and the resulting instant access to analytics. more

  • Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights

    Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process. more

  • Introduction to Machine Learning

    Machine learning encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of machine learning. The tendency, however, is to focus primarily on the technology rather than the process. more

  • Machine Learning in R

    R is the one of the most popular machine learning tools in use today. This course focuses on introducing concepts in machine learning and applying them in practical ways using R. Topics include R data manipulation, data structures, R graphics, exploratory data analysis, basic statistics, and introduction to regression and classification modeling. more

  • Hands-on Machine Learning Made Easy

    In this hands-on tutorial we will provide all the fundamentals for understanding and effectively training predictive models using the mighty random forest algorithm (our personal favorite). Focusing on core concepts and intuitions means that no complicated math is required, and the R code will be a breeze, even for first-timers. more

  • Supervised Machine Learning: Preparing Data & Deploying Analytic Models for Classification & Prediction

    Regression, decision trees, neural networks—along with many other supervised learning techniques—provide powerful predictive insights. These data-driven insights inform the forces shaping your organization’s outcomes. more