Interesting picture summarizing several types of techniques used in machine learning, contrasting unsupervised learning with unsupervised learning and reinforc…
The continued evolution of technology has changed our lives in more profound ways than we’d ever been able to imagine. Think about it — we no longer have to wa…
The list of the best machine learning & deep learning books for 2020.
Discover the benefits of machine learning in daily life and how this revolutionary technology is being used in the real world.
For a few years now, such utilisation of machine learning techniques has been started being implemented in cybersecurity.
Today’s data scientists and machine learning engineers now have a wide range of choices for how they build models to address the various patterns of AI for their particular needs.
Let us know how do you think about this newsletter or want to add new topics or keywords
By Medium -
2021-03-19
Breaking down paywalls and building bridges across disciplines with open access
Building an Algorithm to Trade Items on the Steam Community Market
By NOEMA -
2021-03-18
Blueprints Of Intelligence
By Medium -
2021-03-18
Towards the end of deep learning and the beginning of AGI
By Medium -
2021-03-17
Identifying potential scam listings on Airbnb
By Medium -
2021-03-19
Exterior Product. Why Linear Algebra may not be last
By reddit -
2021-03-18
r/MachineLearning - [P] My side project: Cloud GPUs for 1/3 the cost of AWS/GCP
By ARK Invest -
2021-03-05
Transformers Comprise the Fourth Pillar of Deep Learning
By wikipedia -
2021-03-18
Political polarization
By Spreadmind Blog -
2020-04-08
Online Kurs verkaufen – so geht’s!
By Coursera -
2021-03-17
Hacking COVID-19 — Course 1: Identifying a Deadly Pathogen
By VentureBeat -
2021-02-27
GPT-3: We’re at the very beginning of a new app ecosystem
By Medium -
2021-03-19
Is Your Data & AI/ML Team Future-Proof
By datasciencecentral -
2021-03-18
New chapter on (in) Rubin’s Theory of Potential Outcomes
A Critical Comparison of the ML Platforms in an Evolving Market
7 Reasons Why You Should Consider a Data Lake (and Event-Driven ETL
By KDnuggets -
2021-03-19
Machine learning adversarial attacks are a ticking time bomb
By neptune.ai -
2021-03-19
Neptune.ai | Metadata Store for MLOps
By Medium -
2021-03-19
Forecasting with Bayesian Dynamic Generalized Linear Models in Python
By Global Association of Risk Professionals | The Only Globally Recognized Membership Association for Risk Managers | GARP -
2021-03-18
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4 Business Models of P2P Mobile Payments and Success Factors
By AI Summer -
2020-12-24
How Transformers work in deep learning and NLP: an intuitive introduction
By IMDb -
2021-03-20
The Benefits Of Artificial intelligence Technology In Any Industry
By Medium -
2021-02-01
9 Distance Measures in Data Science
By KDnuggets -
2021-03-17
Introduction to Image Segmentation with K-Means clustering
By semanticscholar -
2021-03-19
Semantic Scholar | AI-Powered Research Tool
By Medium -
2021-03-18
The Value of Data Analytics to Leaders and Managers
By Medium -
2021-03-19
Post-Espresso Shot Coffee Particle Distribution
By KDnuggets -
2021-03-18
Customer Segmentation Using K Means Clustering
By Medium -
2021-03-11
Kubernetes vs Docker — What You Should Know as a Machine Learning Engineer
By SearchConvergedInfrastructure -
2021-03-18
Why and how to adopt a data-centric architecture
Can a Diploma from a Lower Ranking University Hurt your Data Science Career Prospects?
By Medium -
2021-03-19
Optimizing Warehouse Operations with Python — (Part 1: Problem Statement
By Medium -
2021-03-19
How to Prioritize Analytical Work — Part
Why You Should Use Big Data Analytics in Recruitment
By datasciencecentral -
2021-03-18
NLP with Bangla: Generating Text and Sentiment Analysis
By Trifacta -
2021-03-18
Wrangle Summit 2021
By Medium -
2021-03-19
I figured out how Deal or No Deal works (kind of