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data science

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Quantum Computing in Practice
Quantum Computing in Practice
April 27, 2021
#data science
#quantum computing
What is Data Science and Where is it Heading?
What is Data Science and Where is it Heading?
April 13, 2021
#data science
#machine learning (ML)
The Importance of Reinforcement Learning with Phil Winder
The Importance of Reinforcement Learning with Phil Winder
November 27, 2020
#machine learning (ML)
#data science
Is Machine Learning a Black Box?
Is Machine Learning a Black Box?
September 28, 2021
#software engineering
#expert talk
#machine learning (ML)
#data science
What Does It Take To Be a Data Scientist?
What Does It Take To Be a Data Scientist?
December 14, 2021
#data science
#machine learning (ML)
#artificial intelligence (AI)
#expert talk
Jesse Anderson on The Who, What, When, Where, and How of Data Project Success
Jesse Anderson on The Who, What, When, Where, and How of Data Project Success
September 27, 2023
#data science
#data engineering
#data
#data analysis
How AutoML & Low Code Empowers Data Scientists
How AutoML & Low Code Empowers Data Scientists
February 21, 2023
#data science
#coding
#autoML
#machine learning (ML)
Moez Ali
Moez Ali
#machine learning (ML)
#data science
Chanuki Illushka Seresinhe
Chanuki Illushka Seresinhe
#data science
Phil Winder
Phil Winder
#data science
Agustinus Nalwan
Agustinus Nalwan
#data science
#artificial intelligence (AI)
Nico Finelli
Nico Finelli
#data science
#machine learning (ML)
Priscilla Parodi
Priscilla Parodi
#Elastic
#data science
#artificial intelligence (AI)
Joe Reis
Joe Reis
#data science
#data engineering
#machine learning (ML)
Matt Housley
Matt Housley
#data engineering
#data science
#machine learning (ML)
Adi Polak
Adi Polak
#machine learning (ML)
#Spark
#data science
Trevor Grant
Trevor Grant
#machine learning (ML)
#data science
Mechie Nkengla
Mechie Nkengla
#strategy
#artificial intelligence (AI)
#data science
Nicholai Stålung
Nicholai Stålung
#data science
#machine learning (ML)
#computer vision
Keep it Clean: Why Bad Data Ruins Projects and How to Fix it
May 22, 2019
#data science
#machine learning (ML)
Cloud-Native Data Science: Turning Data-Oriented Business Problems Into Scalable Solutions
January 17, 2017
#machine learning (ML)
#Cloud Native
#data science
One does not simply put Machine Learning into Production
October 17, 2017
#machine learning (ML)
#artificial intelligence (AI)
#data science
Inextricably Linked: Reproducibility and Productivity in Data Science and AI
December 12, 2018
#data science
#artificial intelligence (AI)
#DevOps
#live demo
Deliver Results, Not Just Releases: Control & Observability in CD
May 31, 2019
#DevOps
#continuous delivery
#observability
#data science
#partner talk
#experiments
Robot DJs: Better Spotify Playlists through Music Theory and Discrete Optimization
May 10, 2019
#serverless
#partner talk
#data science
#Python
#Kotlin
#TypeScript
#graphql
#polyglot programming
#software architecture
Why Most Data Projects Fail and How to Avoid It
August 29, 2022
#data engineering
#data science
Software Technologies that Stand the Test of Time
May 6, 2021
#containers
#R Language
#SQL
#machine learning (ML)
#Cloud Native
#monolith
#DevOps
#Java
#data science
#Microservices
#service mesh
#OS
#programming
#Kotlin
#Makefile
#Cloud Computing
#programming languages
#database
How to Leverage Reinforcement Learning
February 4, 2021
#machine learning (ML)
#data science
From Fermat’s Last Theorem to The Simpsons and Their Mathematical Secrets
November 11, 2021
#mathematics
#data science
#fermat
#learning
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