Analytics Vidhya

AUGUST 25, 2019

Overview Interpretable machine learning is a critical concept every data scientist should be aware of How can you build interpretable machine learning models? This. The post Decoding the Black Box: An Important Introduction to Interpretable Machine Learning Models in Python appeared first on Analytics Vidhya.

Machine Learning 304

Machine Learning Modeling Analytics 304

Smart Data Collective

AUGUST 25, 2019

Artificial intelligence is becoming a vital technology in many industries. Recent reports estimate that the AI industry will be worth $10 billion by 2024. One of the industries that is expected to be most impacted by AI is online gaming. The gaming industry has always been one to embrace new technological advances. Technology has become even more important as the industry has taken its operations online.

Machine Learning 72

Machine Learning Technology Measurement Reporting 72

Teradata

AUGUST 25, 2019

What is the value of self-service analytics in your organization? What personas provide the most value & where should a business focus its resources? Read more.

Analytics 49

Analytics IT 49

Data Insight

AUGUST 25, 2019

Fortune 1000 companies are investing, fast. In this years Big Data and AI Executive Survey 2019 of C-Suite leaders, 48% say their organisation competes on data and analytics. 31% said they have a “data-driven organisation,” and 28% a “data culture.” 92% of the respondents are increasing their investment in big data and AI. 62% have already seen measurable results from their investments in big data and AI.

Big Data 40

Big Data Reporting Data-driven Data Processing 40

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

Experimentation

Sisense

AUGUST 25, 2019

Blog. Ask any business leader worth their salt if their business is data-driven and they’ll say “Of course we are.” Any other response would soon see them out of a job. But how data-driven are they really? Despite best intentions, this is often more of an aspiration than a reality, and they’re not as data-driven as they think. That’s because the platforms they currently use don’t give them all of the capabilities they need to build a killer data-driven strategy.

Data-driven 75

Data-driven Slice and Dice Sales Reporting 75