Lessons Learned After 8.5 Years of ML
Machine Learning Lessons Learned After 8.5 Years of ML Patience, Optimism, Discipline, Projects, Teams Pascal Janetzky Jul 23, 2026 6 min read Share Image by Rajav Shrestha from Unsplash It is now already more than eight years that I have spent with machine learning. The more I get to know this field the more I am astounded by how diverse it is. When I started my studies of machine learning, the only thing I back then knew about it was the classic machine learning techniques, such as KNN or clustering algorithms.
- ▪Machine Learning Lessons Learned After 8.5 Years of ML Patience, Optimism, Discipline, Projects, Teams Pascal Janetzky Jul 23, 2026 6 min read Share Image by Rajav Shrestha from Unsplash It is now already more than eight years that I have s
- ▪The more I get to know this field the more I am astounded by how diverse it is.
- ▪When I started my studies of machine learning, the only thing I back then knew about it was the classic machine learning techniques, such as KNN or clustering algorithms.
2 outlets in our directory ran this story, first to last over 27 hours. All of the coverage we found sits in one bucket: centre. That one-sidedness is itself worth noticing.
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Record
| Original publisher | Towards Data Science |
| Canonical URL | https://towardsdatascience.com/lessons-learned-after-8-5-years-of-ml/ |
| Publication time | Thu, 23 Jul 2026 13:30:00 +0000 |
| Retrieval time | 2026-07-25T05:45:23.337Z |
| Last seen | 2026-07-25T05:45:23.337Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | iaxxPEi7dATT · 2 stories |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Machine Learning Lessons Learned After 8.5 Years of ML Patience, Optimism, Discipline, Projects, Teams Pascal Janetzky Jul 23, 2026 6 min read Share Image by Rajav Shrestha from Unsplash It is now already more than eight years that I have spent with machine learning. The more I get to know this field the more I am astounded by how diverse it is. When I started my studies of machine learning, the only thing I back then knew about it was the classic machine learning techniques, such as KNN or clustering algorithms. Now, with more than eight years of further experience, I think that the field is so broad that no single person can understand all of this.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Towards Data Science.
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