Adventures in Machine Learning

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.

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From Open Source to Traditional ML with James Lamb - ML 138

Guests :

James Lamb

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Published : Jan 04, 2024

Duration : 54 Minutes

Show Notes

James Lamb is a senior software engineer at NVIDIA. They delve into the world of open-source contributions and the impact of traditional machine learning on the modern economy. James shares his journey of becoming a maintainer of renowned open-source projects while offering valuable insights into the benefits and motivations behind contributing to the community.

Join them as they explore the significance of human review in the PR process, the value of automated feedback, and the importance of maintaining a positive and inclusive environment for contributors in open-source projects.

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Adventures in Machine Learning From Open Source to Traditional ML with James Lamb - ML 138
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Adventures in Machine Learning BONUS: How to get Freelance Clients to Come to You
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Adventures in Machine Learning ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark
Adventures in Machine Learning BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
Adventures in Machine Learning The Intersection of Success and Talent Retention in Software Development - ML 156
Adventures in Machine Learning Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164
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Adventures in Machine Learning BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer
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Adventures in Machine Learning Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151
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Adventures in Machine Learning ML 024: Machine Learning in Action with Ben Wilson
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Adventures in Machine Learning Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137
Adventures in Machine Learning AutoML Discovery and Approach - ML 070
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Adventures in Machine Learning How to Teach Kids Science with Kathryn Hulick - ML 066
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Adventures in Machine Learning Training Bots, The Stock Market, and Hypotheticals - ML 067
Adventures in Machine Learning Mentorship in Machine Learning - ML 038
Adventures in Machine Learning BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
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Adventures in Machine Learning 3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS
Adventures in Machine Learning ML 006: Mad Science AI with Benson Ruan
Adventures in Machine Learning Bioinformatics and Programming with Ken Youens-Clark - ML 082
Adventures in Machine Learning Tensorflow.js with Gant Laborde - ML 028
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Adventures in Machine Learning ML 026: Sweetviz with Francois Bertrand
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Adventures in Machine Learning BONUS: How Opportunities Come Your Way When You're an Influencer
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Adventures in Machine Learning Machine Learning for Movie Scripts - ML 106
Adventures in Machine Learning How To Recession Proof Your Job - BONUS
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Adventures in Machine Learning ML 005: Transfer Learning for NLP with Daniel Svoboda
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Adventures in Machine Learning The Role of Open Source in Modern Development Practices - ML 170
Adventures in Machine Learning A/B Testing with ML ft. Michael Berk - ML 053
Adventures in Machine Learning ML 021: Grokking Deep Reinforcement Learning with Miguel Morales
Adventures in Machine Learning ML 013: Recommender Systems with Frank Kane
Adventures in Machine Learning Writing Production Code for ML ft. Ken Youens-Clark - ML 041
Adventures in Machine Learning The Impact of Process on Successful Tech Companies - ML 145
Adventures in Machine Learning Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049
Adventures in Machine Learning Time Series Models in Machine Learning - ML 087
Adventures in Machine Learning ML 008: TensorFlow.js and YOU with Jason Mayes
Adventures in Machine Learning Business Objectives and KPIs with Michael Berk
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Adventures in Machine Learning ML 023: Inside Machine Learning with Edward Raff
Adventures in Machine Learning Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167
Adventures in Machine Learning AGI, Neuron Simulators, and More with Charles Simon - ML 090
Adventures in Machine Learning BONUS: Relationships Matter Most
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Adventures in Machine Learning Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161
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Adventures in Machine Learning The Impact of Generative AI on the Advertising Industry - ML 168
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Adventures in Machine Learning Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076
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Adventures in Machine Learning ML 012: Machine Learning for Mere Mortals with Nick Chase
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Adventures in Machine Learning Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135
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Adventures in Machine Learning Causal Analysis - ML 132
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Adventures in Machine Learning ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin
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Adventures in Machine Learning ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane
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Adventures in Machine Learning How to Create Team Utils - ML 122
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Adventures in Machine Learning How to Learn a New Tool - ML 117
Adventures in Machine Learning The Innovation Cycle of AI - ML 116
Adventures in Machine Learning How to Transition from Academics to Industry - ML 114
Adventures in Machine Learning Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086
Adventures in Machine Learning How to Make your Projects Succeed - ML 113
Adventures in Machine Learning ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy
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Adventures in Machine Learning Building, Testing, and Abandoning Software - ML 163
Adventures in Machine Learning ML 001: The Adventures in Machine Learning First Steps
Adventures in Machine Learning BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
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Adventures in Machine Learning How to Transition from Software Engineer to ML Engineer - ML 111
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Adventures in Machine Learning Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039
Adventures in Machine Learning Model Serving at Databricks - ML 109
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Adventures in Machine Learning ChatGPT and the Divine - ML 105
Adventures in Machine Learning Deep Learning for Tabular and Time Series Data - ML 104
Adventures in Machine Learning From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080
Adventures in Machine Learning Notebooks vs. IDEs With Fabian Jakobs - ML 103
Adventures in Machine Learning How To Think About Optimization - ML 102
Adventures in Machine Learning BONUS: How Jason Weimann Became a Game Developer
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Adventures in Machine Learning The Disruptive Power of Artificial Intelligence - ML 100
Adventures in Machine Learning A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099
Adventures in Machine Learning Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085
Adventures in Machine Learning How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047
Adventures in Machine Learning How to Edit and Contribute to Existing Code Base - ML 097
Adventures in Machine Learning Apache Spark (Pt. 2): MLlib - ML 074
Adventures in Machine Learning Don't Let These Things Keep You From Podcasting - BONUS
Adventures in Machine Learning Becoming the Go-To Person in Your Technology Area - BONUS
Adventures in Machine Learning AI Assisted Development ft. Sydney Lai - ML 044
Adventures in Machine Learning How To Do Post-Production with Abhilash Pattnaik - ML 062
Adventures in Machine Learning Rethinking ML Monitoring - ML 060
Adventures in Machine Learning BONUS: How Opportunities Come Your Way When You're an Influencer
Adventures in Machine Learning ML 017: The Nature of the World and AI with Rishal Hurbans
Adventures in Machine Learning ML 007: Computer Vision & AI Scientist with Beril Sirmacek
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Adventures in Machine Learning For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069
Adventures in Machine Learning BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?
Adventures in Machine Learning Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149
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Adventures in Machine Learning The Impact of AI Tools on Software Development and Quality Assurance - ML 150
Adventures in Machine Learning Parallelizing Model Training with Michael Galarnyk - ML 032
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Adventures in Machine Learning Demystifying AI Innovations - ML 165
Adventures in Machine Learning Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083
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Adventures in Machine Learning MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143

Adventures in Machine Learning

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From Open Source to Traditional ML with James Lamb - ML 138

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