Blog: ML
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How to Evaluate an ML Model Performance?
Every data scientist knows that one of the most exciting parts of machine learning is picking the right algorithm to crack a problem. But how do you make sure that your chosen algorithm actually delivers the results you're aiming for? In this article, we discuss several methods allowing you to measure the performance of your ML model.
Machine Learning in Biotech: Interview with Quantori
In this interview, we speak with Dr. Yuriy Gankin and Maxim Kazanskii from Quantori – a data science and digital transformation company specializing in research and development in the biopharma industry.
- haskell
- machine learning
- haskell in production
- rust
- serokell
- elixir
- blockchain
- ghc
- introduction
- algorithms
- edsl
- neural networks
- computer science
- erlang
- web development
- data science
- elixir tutorial
- functional futures
- mathematics
- resource guide
- tezos
- elixir in production
- functional programming
- lorentz
- nix
- parsers
- rust in production
- smart contracts
- typescript
- dependent types
- elixir software
- haskell software
- history
- library
- metaprogramming
- remote work
- template haskell
- what's that typeclass
- agda
- computer vision
- deep learning
- formal verification
- ml resources
- trends
- ai tools
- big data
- conferences
- data analytics
- generative ai
- idris
- image generation
- learn haskell
- logic
- ml applications
- open source projects
- phoenix
- Python
- scala
- top projects
- type families
- ai
- ai ethics
- biotech
- chatgpt
- cybersecurity
- dependent haskell
- design
- ecto
- education
- events
- graph neural networks
- ml
- ml algorithms
- morley
- no code
- ocaml
- optimization
- outsourcing
- pattern recognition
- physics
- rust software
- rust tutorial
- supervised learning
- testing
- ton
- topology
- transformers
- unsupervised learning
- webassembly
- women in tech
- 2024
- agi
- AI agents
- ai app builders
- ai blockchain convergence
- ai business toola
- ai events
- AI in manufacturing
- ai in oil and gas
- ai tools 2023
- artificial general intelligence
- automl
- backpropagation
- bayesian optimization
- bert model
- blockchain app development
- blockchain scalability
- business
- cardano
- chain of thought prompting
- character ai
- chatgpt alternatives
- cloud native software
- clustering algorithms
- cnn
- collaboration tools
- compilers
- container orchestration
- coq
- cryptography
- data mining
- data prepocessing
- databases
- devops
- dlt
- drug repurposing
- effective accelerationism
- effective altruism
- egge ai
- ensemble learning
- enterprise data storage
- existential types
- feature engineering
- federated ml
- fintech
- fossa
- foundation models
- free monads
- game development
- generative ai security threats
- genetics
- github
- github copilot
- gitlab
- gleam
- gpt
- healthcare
- higher-rank types
- hobby
- hyperparameter tuning
- icfpc
- it conferences
- jei
- Kubernetes
- lambda calculus
- lean
- lisp
- LLaMA
- llms fine-tuning
- llms for business
- llms risks
- markdown
- medicine
- medtech conferences
- michelson
- microservices
- ml datasets
- ml ideas
- ml models
- ml projects
- model evaluatiom
- mtl
- multi-runtime architecture
- nlp
- open source
- open source software
- OSS development
- programming languages
- project management
- purescript
- python development
- Python IDEs
- python libraries
- quantum computers
- random numbers
- reason
- reinforcement learning
- running llms
- rust business use cases
- rust libraries
- rust roadmap
- semi-supervised learning
- serokellchat
- servant
- signal processing
- software development
- software development trends 2024
- solana smart contract development
- sora
- support vector machine
- tagless final
- tech conferences 2024
- text analysis
- text-to-speech
- text-to-video
- textcontent
- time series analysis
- tinyML
- ton blockchain
- trends in AI
- typed lambda calculus
- web summit
- web3
- website deployment
- young innovative company
+ More