I recently started a new newsletter focus on AI education. TheSequence is a no-BS( meaning no hype, no news…
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Automated Machine Learning (AutoML) Libraries for Python
AutoML provides tools to automatically discover good machine learning model pipelines for a dataset with very little user intervention. It…
Continue ReadingCombined Algorithm Selection and Hyperparameter Optimization (CASH Optimization)
Machine learning model selection and configuration may be the biggest challenge in applied machine learning. Controlled experiments must be performed…
Continue Reading6 Common Mistakes in Data Science and How To Avoid Them
Photo by chuttersnap on Unsplash. In data science or machine learning, we use data for descriptive analytics to draw out meaningful…
Continue ReadingHyperOpt for Automated Machine Learning With Scikit-Learn
Automated Machine Learning (AutoML) refers to techniques for automatically discovering well-performing models for predictive modeling tasks with very little user…
Continue ReadingMLOps Graduates to Enterprise Model Management (and what that means for global enterprise)
In this special guest feature, Mrinal Chakraborty, DISC Solution Leader at Pactera EDGE, discusses six core aspects of MLOps which…
Continue ReadingWhy GPUs are more suited for Deep Learning?
Since the past decade, we have seen GPU coming into the picture more frequently in fields like HPC(High-Performance Computing) and…
Continue ReadingAakash Rathor
How To Build A Real-time Data Pipeline For An Online Store Using Apache Beam, Pub/Sub, and SQLCreate A Machine Learning Model…
Continue ReadingAuto-Sklearn for Automated Machine Learning in Python
Last Updated on September 7, 2020Automated Machine Learning (AutoML) refers to techniques for automatically discovering well-performing models for predictive modeling…
Continue ReadingDaniel Deutsch
Develop and sell a Python API — from start to end tutorialThe article paints a picture for developing…Preprocessing your images for machine learning…
Continue ReadingTOP 10 insideBIGDATA Articles for August 2020
In this continuing regular feature, we give all our valued readers a monthly heads-up for the top 10 most viewed…
Continue ReadingKathryn Durham
Machine Learning Model Implementation: Precision/Recall and Probability Cut-offsPart 2 of a Series on…Machine Learning Model Implementation: Assessing Variable Importance Across ModelsStaying home?…
Continue ReadingOperationalize 100 Machine Learning Models in as Little as 12 Weeks with Azure Databricks
In rapidly changing environments, Azure Databricks enables organizations to spot new trends, respond to unexpected challenges and predict new opportunities.…
Continue ReadingBook Review: Deep Reinforcement Learning Hands-On
Reinforcement learning (RL) is a hugely popular area of deep learning, and many data scientists are exploring this AI technology…
Continue ReadingAndrej Baranovskij
Zero-Shot Text Classification with Hugging FaceThis post is about detecting text sentiment in an…My Journey to TensorFlow Certified DeveloperThis post is about…
Continue ReadingLittle Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
The ambiguity surrounding Artificial Intelligence is legion. The majority of enterprise proclamations of AI are simply applications of machine learning.…
Continue ReadingIf I had to start learning Data Science again, how would I do it?
By Santiago Viquez, Physicist turned Data Scientist. Creator of datasciencetrivia. com. Not long ago, I started thinking if I had…
Continue ReadingWhy Do I Get Different Results Each Time in Machine Learning?
Are you getting different results for your machine learning algorithm?Perhaps your results differ from a tutorial and you want to…
Continue ReadingGoing Beyond Superficial: Data Science MOOCs with Substance
Benjamin Obi Tayo, in his recent post “Data Science MOOCs are too Superficial,” wrote the following: Most data science MOOC…
Continue ReadingKaushik Choudhury
Inside AIAre outliers ruining your machine learning predictions? Search for an optimal solution5 Powerful Visualisation with Pandas for Data Preprocessing“One look…
Continue ReadingA Gentle Introduction to Computational Learning Theory
Last Updated on August 12, 2020Computational learning theory, or statistical learning theory, refers to mathematical frameworks for quantifying learning tasks…
Continue ReadingBest of arXiv.org for AI, Machine Learning, and Deep Learning – July 2020
In this recurring monthly feature, we filter recent research papers appearing on the arXiv. org preprint server for compelling subjects…
Continue ReadingBook Review: Deep Learning with TensorFlow 2 and Keras
If you’re a data scientist who has been wanting to break into the deep learning realm, here is a great…
Continue ReadingUsing AI to Optimize Pricing
According to a recent KPMG study, nearly all of the executives they interviewed expect AI to create new winners and…
Continue ReadingOverview of NIST post-quantum encryption finalists
If and when large-scale quantum computing becomes practical, most public key encryption algorithms currently in use would be breakable. Cryptographers…
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