O'Reilly Media - Data
APRIL 3, 2018
Strata Data London will introduce technologies and techniques; showcase use cases; and highlight the importance of ethics, privacy, and security. The growing role of data and machine learning cuts across domains and industries. Data Science and Machine Learning sessions will cover tools, techniques, and case studies.
CIO
MAY 30, 2024
You’ll be tested on your knowledge of generative models, neural networks, and advanced machine learning techniques. The self-paced course covers prompt engineering in real-world case studies and gives you the opportunity to gain hands-on experience with the OpenAI API. Cost : $4,000
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O'Reilly Media - Data
JULY 23, 2018
Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.
Altexsoft
MAY 12, 2022
Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.
Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.
O'Reilly Media - Ideas
FEBRUARY 4, 2019
In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Machine Learning model lifecycle management. Deep Learning. Graph technologies and analytics. Data Platforms.
DataRobot
DECEMBER 20, 2022
Yet, in the digital transformation era, the pricing and assessment of real estate assets is more difficult than described by brokers’ presentations, valuation reports, and traditional analytical approaches like hedonic models. Building analytical approaches to assess asset’s price and rent that comply with regulations.
Advertiser: Data Robot
Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Brought to you by Data Robot.
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