Author and Publisher at MLtechniques.com. Machine learning scientist, mathematician, book author (Wiley), patent owner, former post-doc at Cambridge University, former VC-funded executive, with 20+ years of corporate experience including CNET, NBC, Visa, Wells Fargo, Microsoft, eBay. Vincent also founded and co-founded a few start-ups, including one with a successful exit (Data Science Central acquired by Tech Target).
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation,… Read More »7 Great Articles About TensorFlow
Summary: Not everyone wants to invest the time and money to become a data scientist, and if you’re mid-career the barriers are even higher. If you… Read More »Data Engineer and Business Analyst Might be the Best Data Science Opportunities
Guest blog by Keshav Dhandhania and Arash Delijani. In this article, I’ll talk about Generative Adversarial Networks, or GANs for short. GANs are one of the… Read More »A Primer On Generative Adversarial Networks
Guest blog post by Jane Sandwood. Jane Sandwood is a professional freelance writer and editor with over 10 years’ experience. She decided to leave the corporate… Read More »Introduction to Market Mix Modeling
These predictions for 2018 are from Infologix. “Metadata management and ensuring data privacy for regulations such as GDPR joins earlier trends like AI and IoT,… Read More »Top Game Changing Data Trends for 2018
As 2017 ends, Ramon Chen, Chief Product Officer at Reltio, the creator of data-driven applications, has peered into his crystal ball to decipher what 2018… Read More »2018: The Year of the Self-Learning Data Organization
This is a new series, featuring great content from our top contributors. Some of these articles are rather technical in nature, but many are business-oriented… Read More »Selected Recent Articles from Top DSC Contributors – Part 1
Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it is… Read More »A Simple Introduction to Complex Stochastic Processes
Stochastic processes have many applications, including in finance and physics. It is an interesting model to represent many phenomena. Unfortunately the theory behind it is… Read More »A Simple Introduction to Complex Stochastic Processes
Summary: Here are our 6 predictions for data science, machine learning, and AI for 2018. Some are fast track and potentially disruptive, some take the… Read More »6 Predictions about Data Science, Machine Learning, and AI for 2018
