machine learning (ML)
Pragmatic Microservices for Organisational Scalability
On the Road to Artificial General Intelligence
On the Road to Artificial General Intelligence
Machine Learning on Source Code
Unleash the Power of Large Language Models (LLMs)
How we Built Google Tulip by using Serverless Technology and Machine Learning
Your AI Survival Guide
Delivering AI on Code: Live Demo of source{d}
How Corsearch Manages Software Delivery at Scale
Machine Learning with TensorFlow and Google Cloud
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
Deep Learning in Medicine: An Introduction and Applications to Next-generation Sequencing and Disease Diagnostics
Deep Learning for Developers
Building a Smart Security Camera with Raspberry Pi Zero, Java and AWS
Reinforcement Learning - ChatGPT, Playing Games, and More
Machine Learning For Web3: Realizing The Potential and The Challenge of Censorship Resistance
Machine Learning with TensorFlow
Building Practical, Cost-Efficient GenAI Solutions Using Serverless
Deep Learning: What It Is and What It Can Do For You
Composing Bach Chorales Using Deep Learning
Cloud-Native Data Science: Turning Data-Oriented Business Problems Into Scalable Solutions
Machine Learning, Your First Steps
One does not simply put Machine Learning into Production
Human-Computer Partnerships
Beyond AI
Accelerating Machine Learning DevOps with Kubeflow
The Promise and Limitations of AI
(Deep) Learning to Fly
Machine Learning: Alchemy for the Modern Computer Scientist
Thinking Like a Data Scientist
From Tic Tac Toe to AlphaGo: Playing games with AI
Augmented Reality, Beyond Virtual Objects Floating in Physical Space
Augmented Reality and Machine Learning cooperation on Mobile
Online Safety Bill: How Global Platforms Use MLOps to Keep People Safe
Breaking Language Barriers with AI
Augmented Reality, Beyond Virtual Objects Floating in Physical Space
Breaking Black-box AI
Using Kubernetes for Machine Learning Frameworks
Using Kubernetes for Machine Learning Frameworks
Conversation AI, the new User Experience
TensorFlow Lite: how to Accelerate your Android and iOS App with AI
A Code-Driven Introduction to Reinforcement Learning
Large Language Models: Friend, Foe, or Otherwise
A Hybrid Intelligence Approach to Developing Generative AI Applications
Predicting Optimal Temperature in The Transmission System (CTR)
Your Superpower User Manual
Applied AI: Real-World Use Cases for Microsoft’s Azure Cognitive Services
Production Model Deployment
Artificial Intelligence Reloaded - AI Applications in the Industry
Exploring StackOverflow Data
Computers are Stupid: Protecting "AI" from Itself
Build a Q&A Bot with DeepLearning4J
Keys to Building Machine Learning Systems
Small is the New Big: Designing Compact Deep Learning Models
Who's Afraid of the Black Box Models?
Uncluster Your Data Science Using Vaex
A Composer’s Guide to Creating with Generative Neural Networks
Scaling Python for Machine Learning: Beyond Data Parallelism
Empowering Consumers: Evolution of Software in the Future
Developing Machine Learning for Impact
ChatGPT from Scratch: How to Train an Enterprise AI Assistant
Analogue Evolution, Digital Revolution: Tipping Points in Technology
Analogue Evolution, Digital Revolution: Tipping Points in Technology
Analogue Evolution, Digital Revolution: Tipping Points in Technology
Unraveling Insights About Places with Deep Learning Computer Vision
Event Streaming for Multi-Agentic Generative AI Workflows
How to Leverage Reinforcement Learning
Genetic Algorithms in Elixir
Data Mesh: Delivering Data-Driven Value at Scale
Kubeflow for Machine Learning
The Quick Python Book
The Best of GOTO Book Club Part Two
AI, ML & Data Science: What's the Difference?
What is Data Science and Where is it Heading?
What is General Artificial Intelligence
The Importance of Reinforcement Learning with Phil Winder
How a Machine Learning Project Can Go Wrong
Software 2.0 and AI as an Engineering Discipline
Is Machine Learning a Black Box?
Natural Language Processing in Real-life: Introduction
Machine Learning for Autonomous Vehicles
How AutoML & Low Code Empowers Data Scientists
What Does It Take To Be a Data Scientist?
Alex Castrounis
Why of AI
Founder & CEO at Why of AI, NU Kellogg MBAi Professor, Author | Former INDYCAR Engineer, Race Strategist, and Data Scientist
Sean Moriarity
Author of Genetic Algorithms in Elixir and Machine Learning in Elixir, co-creator of Nx.
Kristian Hammond
Northwestern University
Professor and Director of The Center for Advancing Safety of Machine Intelligence
Erik Meijer
Director of engineering at Facebook; "Think Like A Fundamentalist, Code Like A Hacker"
Nicholai Stålung
Trifork
Data scientist who has spawned and led multiple data science and ML teams
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