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ARTIFICIAL INTELLIGENCE (AI) AND MACHINE LEARNING

Explore Artificial Intelligence (AI) and Machine Learning Content

Upside Articles

Research & Resources

Webinars

  • MLOps and Optimizing ML Operations: Learning from Those Who Have Been There

    Join TDWI's VP of Research Fern Halper as she hosts a roundtable with Experian India, Otis Elevator, Standard Chartered Bank, and representatives from LTI to discuss the MLOps journey and best practices for success. October 7, 2021 view now

  • Succeeding with Mature MLOps

    Join TDWI's senior research director James Kobielus and Dan Darnell from Dataiku to learn how enterprises can succeed in using mature MLOps practices across their entire data science pipelines to speed deployment of their most sophisticated AI applications. August 25, 2021 view now

  • Mistakes to Avoid in Building and Deploying Machine Learning Programs: Part 3

    Join TDWI's VP of Research Fern Halper for the third and final part of our series about succeeding with machine learning. Fern will talk with Santiago Giraldo, Cloudera's Director of Product Marketing, Data Engineering & Machine Learning, about mistakes to avoid and best practices for success when operationalizing machine learning models. July 8, 2021 view now

  • Security, Privacy, and Governance in Modern Cloud Data Warehousing: What You Need to Know

    In this fourth and final webinar of a four-part series based on TDWI's e-book on modern cloud data warehousing, Fern Halper, TDWI VP of Research, drills into security, privacy, and governance in the modern cloud data warehouse. June 30, 2021 view now

  • Six Ways to Accelerate ROI from Data Warehouse and Data Lake Modernization

    Join this TDWI webinar to learn six ways to accelerate ROI from data warehouse and data lake modernization. Big factors driving modernization are intelligent data integration and management using artificial intelligence (AI) capabilities and cloud-native serverless computing. We will discuss how AI-infused, serverless cloud computing enables organizations to improve scalability, agility, and performance with data warehouses and data lakes. June 29, 2021 view now

  • Bring Your Analytics Investments into the Cloud-Native World

    Join TDWI's senior research director James Kobielus to learn how to improve the reach, performance, and sophistication of enterprise AI, machine learning, and other data analytics applications by refactoring them as cloud-native, containerized microservices. June 25, 2021 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

  • Hands-on Machine Learning Made Easy - No, Really!

    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

  • 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

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

  • Hands-on Machine Learning Made Easy - No, Really!

    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

  • 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

  • Supervised Machine Learning with Python

    Enroll in this new 7-week course to learn how to perform supervised machine learning using Python, one of the most popular languages in data science and predictive 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

  • Hands-on Machine Learning Made Easy - No, Really!

    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

Online Learning Courses

  • Supervised Machine Learning with Python

    Enroll in this new 7-week course to learn how to perform supervised machine learning using Python, one of the most popular languages in data science and predictive analytics. more