Azure Machine Learning Social Media 
Neil Patel
JANUARY 25, 2021
Text analysis tools allow your business to analyze text from social media accounts and documents. Typically, such tools are used in combination with social media listening products. You can use the tool to create and share reports, dashboards, and visualizations, building automated machine learning models.
Neil Patel
SEPTEMBER 28, 2020
But in the best case, the partners will leverage more advanced technologies, such as machine learning, that can help make better sense of the vast amount of data that you will have. You will find that the best insights from your data come after the raw data is analyzed by a machine, and then made sense of by a human.
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User Pilot
JULY 25, 2024
To excel, leverage resources like books (e.g., “Python for Data Analysis”), webinars (Data Science Salon, BrightTALK), blogs (Data Science Central, KD Nuggets), podcasts (Lex Fridman Podcast, Data Skeptic), and certifications (Senior Data Scientist (SDS), Microsoft Certified: Azure Data Scientist Associate, etc.).
User Pilot
JULY 21, 2024
This data can come from many sources, such as customer transactions, social media, and sensors. Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. At this point, you must master advanced machine learning algorithms and techniques like deep learning.
User Pilot
JULY 28, 2024
This data can come from many sources, such as customer transactions, social media, and sensors. Feature Engineering : Data scientists transform raw data into features that are informative for machine learning models. Proficiency in machine learning algorithms (supervised & unsupervised learning).
User Pilot
JULY 14, 2024
This data can come from many sources, such as customer transactions, social media, and sensors. Design, develop, and implement machine learning models and statistical analyses to extract meaningful patterns and trends. Proficiency in machine learning algorithms (supervised & unsupervised learning).
SaaStr
SEPTEMBER 13, 2020
Azure has been gaining on them rapidly and is growing a double that rate. What we’ve built is this core AI machine learning engine that takes literally millions and millions of unique sources so that we can deliver 95% accuracy to our clients. We’ve all seen AWS and what they’ve done with their platform.
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