List: Machine Learning | Curated by Akshaya Balaji

Mar 29, 2024
96 stories
Machine Learning
In
TDS Archive
by
Haden
Track Your ML ExperimentsA guide to Neptune for tracking your machine learning experiments in Python
Mar 29, 2024
Mar 29, 2024
In
TDS Archive
by
Jeremy Arancio
Scale your Machine Learning Projects  with SOLID principlesHow to write code that scales and accelerates your work as a data scientist or machine learning engineer.
Mar 12, 2024
8
Mar 12, 2024
8
In
Level Up Coding
by
Antonello Benedetto
Python Generators: How To Efficiently Fetch Data From DatabasesTwo practical use cases for Data Engineers.
Dec 5, 2023
15
Dec 5, 2023
15
In
TDS Archive
by
K Bahavathy
Time Series Classification for Fatigue Detection in Runners — A TutorialA step-by-step walk-through of inter-participant and intra-participant classification performed on wearable sensor data of runners
Dec 7, 2023
Dec 7, 2023
In
TDS Archive
by
Chayma Zatout
Version Controlling in Practice: Data, ML Model, and CodeA Step-by-Step Guide to Versioning in MLOps
Dec 2, 2023
Dec 2, 2023
In
TDS Archive
by
Marcello Politi
Design Patterns with Python for Machine Learning Engineers: PrototypeLearn how to use the Prototype design pattern to enhance your code
Dec 5, 2023
3
Dec 5, 2023
3
 This story is no longer available
In
TDS Archive
by
Evgeniya Sukhodolskaya
Learn to Unlearn MachinesA data-driven approach to machine unlearning of generative language models
Nov 23, 2023
1
Nov 23, 2023
1
In
TDS Archive
by
Michael Roizner
Two-Tower Networks and Negative Sampling in Recommender SystemsUnderstand the key elements that power advanced recommendation engines
Nov 24, 2023
4
Nov 24, 2023
4
In
TDS Archive
by
Miriam Santos
A Beginner’s Guide to Building High-Quality Datasets for Machine LearningTools and techniques for data cleaning, visualization, augmentation, and synthetic data generation
Nov 11, 2023
4
Nov 11, 2023
4
In
TDS Archive
by
Robert Constable
Building a Single Customer View Using Open-Source Tools and DatabricksA scalable data quality and record linkage workflow enabling customer data science
Nov 6, 2023
1
Nov 6, 2023
1
In
TDS Archive
by
Carolina Bento
Hidden Markov Models Explained with a Real Life Example and Python codeHMMs are probabilistic models used to solve real life problems ranging from weather forecasting to finding the next word in a sentence
Nov 5, 2023
7
Nov 5, 2023
7
In
TDS Archive
by
Donal Byrne
Super Charge Your ML Systems In 4 Simple StepsRepeatedly, for a long time…
Oct 27, 2023
3
Oct 27, 2023
3
In
TDS Archive
by
Abhijeet Talaulikar
Genetic Algorithm — Finding Optimal Email Delivery Schedule to Maximize EngagementUsing an evolutionary algorithm to optimize a consumer bank’s D2C Campaign
Nov 1, 2023
2
Nov 1, 2023
2
In
TDS Archive
by
ming gao
From Data Platform to ML PlatformHow Data/ML platforms evolve and support complex MLOps practices
Oct 22, 2023
2
Oct 22, 2023
2
In
TDS Archive
by
Ceren Iyim
A Machine Learning Engineer’s Must-Have ToolsFrom both technical and soft skills aspects
Oct 19, 2023
1
Oct 19, 2023
1
In
TDS Archive
by
Marcello Politi
Design Patterns with Python for Machine Learning Engineers: BuilderLearn how to use the Builder design pattern to enhance your code
Oct 12, 2023
5
Oct 12, 2023
5
In
TDS Archive
by
Daniel Warfield
Self-Supervised Learning Using Projection HeadsBoost performance with unlabeled data.
Jun 29, 2023
3
Jun 29, 2023
3
In
TDS Archive
by
Raphael Mazzine, Ph.D.
What If We Could Easily Explain Overly Complex Models?Generating counterfactual explanations got a lot easier with CFNOW, but what are counterfactual explanations, and how can I use them?
Sep 28, 2023
Sep 28, 2023
In
TDS Archive
by
Yasmine Hejazi
How to Implement Random Forest Regression in PySparkA PySpark tutorial on regression modeling with Random Forest
Sep 25, 2023
1
Sep 25, 2023
1