Data & Applied Scientist @Microsoft Substack: https://xitter.cf/t.co/gXwXHeIK4O Medium: https://xitter.cf/t.co/07gGaYts25
Joined January 2017
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Thomas Dorfer retweeted
In machine learning, even the smallest data handling mistakes can derail your model's reliability.
Thomas Dorfer retweeted
Small, easily missed mistakes can really have a big impact on your model’s performance, particularly if they go unnoticed for an extended period of time. @ThomasADorfer highlights the pitfalls of relying on data that’s unavailable at prediction time and mixing magic numbers with real values.
towardsdatascience.com/avoid…
Thomas Dorfer retweeted
Understanding XGBoost parameters is critical for building robust machine learning models. @ThomasADorfer dives into the nuances of parameters like max_depth, min_child_weight, and gamma, revealing how they balance complexity and performance.
towardsdatascience.com/visua…
Thomas Dorfer retweeted
. @ThomasADorfer offers strategies on how to keep up with a rapidly advancing field.
buff.ly/3WsOZaG
Thomas Dorfer retweeted
"Data visualization is an important aspect of data science that enables its practitioner to obtain a graphical representation of the data at hand, detect anomalies, or recognize patterns and trends."
Read more from @ThomasADorfer's post. buff.ly/3hh3pwh
Thomas Dorfer retweeted
. @ThomasADorfer offers a comprehensive overview of the remarkable progress that led AI to become a household name. buff.ly/426Iltw
Thomas Dorfer retweeted
. @ThomasADorfer revisits some of the key breakthroughs that got us to where we are today. buff.ly/426Iltw
Thomas Dorfer retweeted
An excellent piece about YOLO-NAS by @ThomasADorfer
link.medium.com/heJDcVV47zb
Thomas Dorfer retweeted
Ten Years of AI in Review by @ThomasADorfer buff.ly/426Iltw
Thomas Dorfer retweeted
Reporting on the latest advances in object detection, @ThomasADorfer walks us through the inner workings of YOLO-NAS, a foundational model generated through neural architecture search, innovative quantization blocks, and a robust pre-training paradigm. buff.ly/3pWqMiv
Thomas Dorfer retweeted
Quick and Easy Time-Series Forecasting in #PowerBI: A Practical Guide from @ThomasADorfer buff.ly/3NFLCwx #PowerBI
Exciting news for anyone interested in AI and finance! Two recent studies show that #ChatGPT is capable of deciphering Fedspeak (the deliberately vague statements made by the Federal Reserve) and predicting market moves based on corporate news headlines.
thomasdorfer.substack.com/p/…
Thomas Dorfer retweeted
Quick and Easy Time-Series Forecasting in PowerBI: A Practical Guide by @ThomasADorfer buff.ly/3Vl9irA
On April 22, the world came together to celebrate #EarthDay. To honor the occasion, I'd like to share a special edition of my newsletter Tech Talk with Thomas, focused entirely on how data science and AI can help solve sustainability problems.
thomasdorfer.substack.com/p/…
Thomas Dorfer retweeted
How to Choose the Best Evaluation Metric for Regression Problems by @ThomasADorfer buff.ly/43VqrvT
Thomas Dorfer retweeted
Learn how to leverage AutoML to maximize the outcome of your machine learning workflows with @ThomasADorfer's guide. buff.ly/3zNsW5x
Thomas Dorfer retweeted
. @ThomasADorfer offers a comprehensive guide covering the most commonly used evaluation metrics for supervised classification and their utility in different scenarios. buff.ly/3MRNa62
In this week's edition of Tech Talk with Thomas:
✂️ Meta’s Segment Anything Model (SAM)
🔗 Method chaining in Python
To find out more, check it out on Substack 👇
#datascience #ai #artificialintelligence #technology #python
open.substack.com/pub/thomas……
Thomas Dorfer retweeted
. @ThomasADorfer offers a comprehensive guide that covers the most commonly used evaluation metrics for supervised classification and their utility in different scenarios. buff.ly/3MRNa62
Thomas Dorfer retweeted
Learn how to leverage AutoML to maximize the outcome of your machine learning workflows with @ThomasADorfer's post. buff.ly/3zNsW5x