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CJ SullivaninTowards Data ScienceWhat I Learned in my First 3 Months as a Freelance Data ScientistA potential new path for those subjected to tech layoffs?Mar 1620Mar 1620
Jair RibeiroinGenerative AIIs Your Generative AI Strategy Resilient?A reflection for business leaders on how their Generative AI Strategy is Anchored or Adrift in the OpenAI SeaOct 19, 20231Oct 19, 20231
Nik SachdevainData Science at MicrosoftThe era of Co-Pilot product teamsUsing multi-agent prompt engineering to fuel future product developmentAug 8, 20237Aug 8, 20237
Dr. Xuxu WanginTowards Data ScienceThe Top Three Lessons Learned Building More Than 1,000 Machine Learning ModelsAs someone who has overseen and created thousands of machine learning models, I want to share some of the most important insights learned.Jul 21, 20202Jul 21, 20202
CJ SullivaninTowards Data ScienceWhat I Learned in my First Year as a Director of Data ScienceThe continued and constant learnings on managing data science teams outside of techMay 1, 202334May 1, 202334
Antony MayiinTowards Data ScienceUnderstanding ML-Product Lifecycle PatternsA Guide to Classifying Operational Lifecycles of ML-Driven Products with an Overview of their Notable PatternsMar 4, 2022Mar 4, 2022
Ori CoheninTowards AISetting Up Data Science Teams For SuccessBy providing data, product & ML engineering functionsOct 26, 20221Oct 26, 20221
Bahar SalehiinTowards Data Science5 reasons for NOT using deep learning in your productIs deep learning the best solution for the AI product you are building?Jan 30, 20224Jan 30, 20224
Martin LeitnerWhat I've learned from interviewing more than 300 Data ScientistsPreparing for an interview to stand out and increase your chances of getting the desired job.Dec 29, 202237Dec 29, 202237
Jonas DieckmanninTowards Data ScienceDASC-PM: a novel Process Model for Data Science Projectsor: How to properly structure your next data science projectFeb 7, 2023Feb 7, 2023
Gene AzadinIBM Data Science in PracticeFeature Platforms — A New Paradigm in Machine Learning Operations (MLOps)Features are food for AI. If we want to quickly operationalize healthy AI models, we need to understand and control what we are feeding it.Mar 5, 20236Mar 5, 20236
