Tutorials, Overviews
Latest:
-
Meta-Learning for Keyphrase Extraction - Dec 3, 2021.
This article explores Meta-Learning for Key phrase Extraction, which delves into the how and why of KeyPhrase Extraction (KPE) - extracting phrases/groups of words from a document to best capture and represent its content. The article outline what needs to be done to build a keyphrase extractor that performs well not only on in-domain data, but also in a zero-shot scenario where keyphrases need to be extracted from data that have a different distribution (either a different domain or a different type of documents). -
How to Get Certified as a Data Scientist - Dec 3, 2021.
If you are early in your journey to becoming a Data Scientist, an interesting option is to earn certification by DataCamp, and this guide offers tips that will help beginners complete the challenges. -
Using PyCaret’s New Time Series Module - Dec 3, 2021.
PyCaret’s new time series module is now available in beta. Staying true to the simplicity of PyCaret, it is consistent with the existing API and comes with a lot of functionalities. -
Avoid These Mistakes with Time Series Forecasting - Dec 2, 2021.
A few checks to make before training a Machine Learning model on data that could be random. -
2021: A Year Full of Amazing AI papers — A Review - Dec 2, 2021.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code. -
How to Use Permutation Tests - Dec 2, 2021.
A walkthrough of permutation tests and how they can be applied to time series data. -
5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022 - Dec 1, 2021.
This curated list of data science projects offers real-life problems that will help you master skills to demonstration that you are technically sound and know how to conduct data science projects that add business value. -
Movie Recommendations with Spark Collaborative Filtering - Dec 1, 2021.
Not sure what movie to watch? Ask your recommender system.
November:
- Sentiment Analysis API vs Custom Text Classification: Which one to choose?
- Clustering in Crowdsourcing: Methodology and Applications
- Building Massively Scalable Machine Learning Pipelines with Microsoft Synapse ML
- Sentiment Analysis with KNIME
- How to Build a Knowledge Graph with Neo4J and Transformers
- PyCaret 2.3.5 Is Here! Learn What’s New
- A Spreadsheet that Generates Python: The Mito JupyterLab Extension
- Top 4 Data Integration Tools for Modern Enterprises
- Common Misconceptions About Differential Privacy
-
Most Common SQL Mistakes on Data Science Interviews
, by Nate Rosidi Sure, we all make mistakes -- which can be a bit more painful when we are trying to get hired -- so check out these typical errors applicants make while answering SQL questions during data science interviews. - 5 Advanced Tips on Python Sequences
- On-Device Deep Learning: PyTorch Mobile and TensorFlow Lite
- Dask DataFrame is not Pandas
- 3 Differences Between Coding in Data Science and Machine Learning
- Difference between distributed learning versus federated learning algorithms
- Build a Serverless News Data Pipeline using ML on AWS Cloud
- Easy Synthetic Data in Python with Faker
- Inside recommendations: how a recommender system recommends
- Book Metadata and Cover Retrieval Using OCR and Google Books API
- Virtual Presentation Tips for Data Scientists
- 10 AI Project Ideas in Computer Vision
- Two Simple Things You Need to Steal from Agile for Data and Analytics Work
- What Are NVIDIA NGC Containers & How to Get Started Using Them
-
19 Data Science Project Ideas for Beginners
, by Zulie Rane This article features 19 data science projects for beginners, categorized into 7 full project tutorials, 5 places to come up with your own data science projects using data, and 7 skills-based data science projects.
-
How I Redesigned over 100 ETL into ELT Data Pipelines
, by Nicholas Leong Learn how to level up your Data Pipelines! - Deep Learning on your phone: PyTorch C++ API for use on Mobile Platforms
- 25 Github Repositories Every Python Developer Should Know
- Dream Come True: Building websites by thinking about them
- The Ultimate Guide To Different Word Embedding Techniques In NLP
- OpenAI’s Approach to Solve Math Word Problems
- What Comes After HDF5? Seeking a Data Storage Format for Deep Learning
- POS Tagging, Explained
- 7 Top Open Source Datasets to Train Natural Language Processing (NLP) & Text Models
- Build Your Own Automated Machine Learning App
- AI Infinite Training & Maintaining Loop
- NLP for Business in the Time of BERTera: Seven Misplaced Passions
- Visual Scoring Techniques for Classification Models
-
Data Scientist Career Path from Novice to First Job
, by Nate Rosidi If you are beginning your data science journey, then you must be prepared to plan it out as a step-by-step process that will guide you from being a total newbie to getting your first job as a data scientist. These tips and educational resources should be useful for you and add confidence as you take that first big step.
- Neural Networks from a Bayesian Perspective
- ORDAINED: The Python Project Template
-
Design Patterns for Machine Learning Pipelines
, by David Buniatyan ML pipeline design has undergone several evolutions in the past decade with advances in memory and processor performance, storage systems, and the increasing scale of data sets. We describe how these design patterns changed, what processes they went through, and their future direction.
- Salary Breakdown of the Top Data Science Jobs
- Advanced PyTorch Lightning with TorchMetrics and Lightning Flash
- Top 5 Time Series Methods
