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| Episode | Date |
|---|---|
|
Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185
|
Apr 04, 2025 |
|
Integrating Business Needs and Technical Skills in Effective Model Serving Deployments - ML 184
|
Feb 13, 2025 |
|
Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML 183
|
Jan 24, 2025 |
|
Cows, Camels, and the Human Brain - ML 182
|
Jan 09, 2025 |
|
A/B Testing with ML ft. Michael Berk - ML 181
|
Jan 02, 2025 |
|
Navigating Build vs. Buy Decisions in Emerging AI Technologies - ML 180
|
Dec 26, 2024 |
|
Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy - ML 179
|
Dec 19, 2024 |
|
Combating Burnout in Machine Learning: Strategies for Balance and Collaboration - ML 178
|
Dec 12, 2024 |
|
The Nature of the World and AI with Rishal Hurbans - ML 177
|
Dec 09, 2024 |
|
Crafting Data Solutions: Shrinking Pie and Leveraging Insights for Optimal Data Learning - ML 176
|
Nov 28, 2024 |
|
Challenges and Solutions in Managing Code Security for ML Developers - ML 175
|
Nov 21, 2024 |
|
Innovative Security Solutions for Developers - ML 174
|
Nov 14, 2024 |
|
Peer Review and Career Development - ML 173
|
Nov 07, 2024 |
|
Navigating Expertise Gaps - ML 172
|
Oct 31, 2024 |
|
The Influence of Gen AI on Personalized Education and Curiosity - ML 171
|
Oct 24, 2024 |
|
The Role of Open Source in Modern Development Practices - ML 170
|
Oct 17, 2024 |
|
AI-Powered Tools for Productivity with Artem Koren - ML 169
|
Oct 10, 2024 |
|
The Impact of Generative AI on the Advertising Industry - ML 168
|
Oct 03, 2024 |
|
Learning, Testing, and Mentorship: Building Autonomy and Confidence in Python Development - ML 167
|
Sep 26, 2024 |
|
Evaluating and Building AI Systems - ML 166
|
Sep 19, 2024 |
|
Demystifying AI Innovations - ML 165
|
Sep 12, 2024 |
|
Maintaining Backward Compatibility in Software Projects: Strategies from Industry Experts - ML 164
|
Aug 29, 2024 |
|
Building, Testing, and Abandoning Software - ML 163
|
Aug 22, 2024 |
|
AI in Education: From Micro-Courses to Rigorous Training Programs - ML 162
|
Aug 15, 2024 |
|
Transforming Recruitment with AI: Surveys, Sentiment, and Data-Driven Insights - ML 161
|
Aug 08, 2024 |
|
How AI and Deep Fakes Are Transforming Security and Customer Trust - ML 160
|
Jul 24, 2024 |
|
AI Deployment Simplified: Kit Ops' Role in Streamlining MLOps Practices - ML 159
|
Jul 18, 2024 |
|
Functional Programming Shift and Scalable Architecture Insights - ML 158
|
Jul 11, 2024 |
|
Mentorship and Management: Creating a Collaborative Work Environment - ML 157
|
Jul 04, 2024 |
|
The Intersection of Success and Talent Retention in Software Development - ML 156
|
Jun 27, 2024 |
|
Redefining Data Science Roles: Beyond Technical Skills and Traditional Job Descriptions - ML 155
|
Jun 20, 2024 |
|
Balancing Theoretical Knowledge with Hands-on Experience - ML 154
|
Jun 13, 2024 |
|
AI in Security: Revolutionizing Defense and Outsmarting Attackers in the Digital Era - ML 153
|
Jun 06, 2024 |
|
The Journey to Expertise with Fernando Lopez - ML 152
|
May 23, 2024 |
|
Unraveling the Complexities of Model Deployment in Dynamic Marketplaces - ML 151
|
May 09, 2024 |
|
The Impact of AI Tools on Software Development and Quality Assurance - ML 150
|
May 02, 2024 |
|
Adaptive Industry ML: Challenges, Automation, and Model Applications - ML 149
|
Apr 18, 2024 |
|
Harnessing Open Source Contributions in Machine Learning and Quantization - ML 148
|
Apr 18, 2024 |
|
Data Platform Innovation: Navigating Challenges and Building a Unified Experience - ML 147
|
Apr 11, 2024 |
|
The Science-Engineering Blend - ML 146
|
Apr 04, 2024 |
|
The Impact of Process on Successful Tech Companies - ML 145
|
Mar 28, 2024 |
|
Delivering Scoped Solutions: Lessons in Fixing Production System Issues - ML 144
|
Mar 21, 2024 |
|
MLOps 101: Scoping, Latency, Data Curation, and Continuous Model Retraining - ML 143
|
Mar 14, 2024 |
|
Navigating Authority and Transparency in Organizations - ML 142
|
Feb 22, 2024 |
|
Evolution of Dlib: Addressing Challenges in Machine Learning and Computer Vision - ML 141
|
Feb 08, 2024 |
|
Strategies for Improving Code Quality and Maintenance in the Python Environment - ML 140
|
Jan 25, 2024 |
|
Lyft's ML Infrastructure Journey - ML 139
|
Jan 18, 2024 |
|
From Open Source to Traditional ML with James Lamb - ML 138
|
Jan 04, 2024 |
|
Wars of AI and Justice: Handling Uncertainties and Ethical Quandaries - ML 137
|
Dec 21, 2023 |
|
Beyond Machine Learning - ML 136
|
Dec 07, 2023 |
|
Unraveling AI's Impact: Computer Vision, Generative Models, and Challenges in Software Development - ML 135
|
Nov 30, 2023 |
|
Complexity Theory - ML 134
|
Nov 23, 2023 |
|
How To Recession Proof Your Job - BONUS
|
Nov 23, 2023 |
|
Data Watchdogs - ML 133
|
Nov 16, 2023 |
|
Causal Analysis - ML 132
|
Nov 09, 2023 |
|
Data Visualization and Hugging Face - ML 131
|
Nov 02, 2023 |
|
Confidence as Data Scientist - ML 130
|
Oct 19, 2023 |
|
A Case Study: Recommendation Engines - ML 129
|
Oct 05, 2023 |
|
Maximizing Efficiency in ML Project Development - ML 128
|
Sep 21, 2023 |
|
AI that Make You Better - ML 127
|
Sep 14, 2023 |
|
Challenges for LLM Implementation - ML 126
|
Sep 07, 2023 |
|
ML in the Cannabis Industry - ML 125
|
Aug 24, 2023 |
|
How AI Impacts Society - ML 124
|
Aug 17, 2023 |
|
LLMs on Azure - ML 123
|
Aug 03, 2023 |
|
How to Create Team Utils - ML 122
|
Jul 21, 2023 |
|
How to Get Sh*t Done - ML 121
|
Jul 13, 2023 |
|
ML at Netflix and How to Learn Deeply - ML 120
|
Jun 30, 2023 |
|
How to get Promoted - ML 119
|
Jun 23, 2023 |
|
How does Search Work? - ML 118
|
Jun 15, 2023 |
|
How to Learn a New Tool - ML 117
|
Jun 08, 2023 |
|
The Innovation Cycle of AI - ML 116
|
May 25, 2023 |
|
All Things Machine Learning - ML 115
|
May 11, 2023 |
|
How to Transition from Academics to Industry - ML 114
|
May 05, 2023 |
|
How to Make your Projects Succeed - ML 113
|
Apr 27, 2023 |
|
Jason Weimann - Learn Video Game Development with Chuck - BONUS
|
Apr 21, 2023 |
|
How to Think Like a Principal Architect - ML 112
|
Apr 13, 2023 |
|
How Do You Stop Hating Your Job? - BONUS
|
Apr 13, 2023 |
|
How to Transition from Software Engineer to ML Engineer - ML 111
|
Apr 07, 2023 |
|
Machine Learning for Meeting Notes - ML 110
|
Mar 30, 2023 |
|
Model Serving at Databricks - ML 109
|
Mar 27, 2023 |
|
Where ML and DevOps Meet - ML 108
|
Mar 17, 2023 |
|
How Does ChatGPT Work? - ML 107
|
Mar 10, 2023 |
|
Machine Learning for Movie Scripts - ML 106
|
Mar 03, 2023 |
|
ChatGPT and the Divine - ML 105
|
Feb 23, 2023 |
|
Deep Learning for Tabular and Time Series Data - ML 104
|
Feb 16, 2023 |
|
Notebooks vs. IDEs With Fabian Jakobs - ML 103
|
Feb 09, 2023 |
|
How to think about Optimization - ML 102
|
Feb 03, 2023 |
|
Protecting Your ML From Phishing And Hackers - ML 101
|
Jan 27, 2023 |
|
The Disruptive Power of Artificial Intelligence - ML 100
|
Jan 19, 2023 |
|
A History Of ML And How Low Code Tooling Accelerates Solution Development - ML 099
|
Jan 06, 2023 |
|
Moving from Dev Notebooks to Production Code - ML 098
|
Dec 22, 2022 |
|
How to Edit and Contribute to Existing Code Base - ML 097
|
Dec 15, 2022 |
|
MLflow 2.0 And How Large-Scale Projects Are Managed In The Open Source - ML 096
|
Dec 01, 2022 |
|
How To Recession Proof Your Job - BONUS
|
Nov 24, 2022 |
|
Should you Context Switch when Writing Code? - ML 095
|
Nov 24, 2022 |
|
Important Questions To Ask When Scoping ML Projects - ML 094
|
Nov 17, 2022 |
|
How To Do Research Spikes - ML 093
|
Nov 10, 2022 |
|
How to Simplify Data Science with DagsHub Founders - ML 092
|
Oct 27, 2022 |
|
How to Test ML Code - ML 091
|
Oct 20, 2022 |
|
AGI, Neuron Simulators, and More with Charles Simon - ML 090
|
Oct 06, 2022 |
|
Complex ML Models with Data Scientist Fernando Lopez - ML 089
|
Sep 29, 2022 |
|
Distributed Time Series in Machine Learning - ML 088
|
Sep 22, 2022 |
|
Time Series Models in Machine Learning - ML 087
|
Sep 15, 2022 |
|
Optical Character Recognition (OCR) and Machine Learning with Ahmad Anis - ML 086
|
Sep 08, 2022 |
|
Innovation and AI Strategies with Award Winning Data Science Leader Vidhi Chugh - ML 085
|
Aug 25, 2022 |
|
Machine Learning on Mobile Devices and More with Aliaksei Mikhailiuk - ML 084
|
Aug 18, 2022 |
|
Leveling Up in your Data Science Career with Adam Ross Nelson - ML 083
|
Aug 04, 2022 |
|
Bioinformatics and Programming with Ken Youens-Clark - ML 082
|
Jul 29, 2022 |
|
Building AI Data Responsibly with Edouard d’Archimbaud - ML 081
|
Jul 21, 2022 |
|
From Golf Instructor to Software Developer: Taking Next Steps in your Career - ML 080
|
Jul 14, 2022 |
|
Hyperparameter Tuning for Machine Learning Models - ML 079
|
Jul 07, 2022 |
|
Ask Me Anything (AMA) with Host Ben Wilson - ML 078
|
Jun 30, 2022 |
|
Optimizers in Machine Learning, Featuring Maciej Balawejder - ML 077
|
Jun 23, 2022 |
|
Part 2: Exploratory Data Analysis (EDA) Next Steps - ML 076
|
Jun 16, 2022 |
|
Exploratory Data Analysis (EDA) in Machine Learning - ML 075
|
Jun 09, 2022 |
|
Apache Spark (Pt. 2): MLlib - ML 074
|
Jun 02, 2022 |
|
Apache Spark Integration and Platform Execution for ML - ML 073
|
May 26, 2022 |
|
Two Case Studies: Production ML infrastructure and Recommendation Engines - ML 072
|
May 18, 2022 |
|
Using AI and ML to Help Humans, Not Replace Them - ML 071
|
May 12, 2022 |
|
AutoML Discovery and Approach - ML 070
|
May 04, 2022 |
|
For Sports and Beyond: Robotics and Advanced Cognitive Computing-Based Video Processing Algorithms - ML 069
|
Apr 28, 2022 |
|
How to Beef Up Your Resume - ML 068
|
Apr 21, 2022 |
|
Training Bots, The Stock Market, and Hypotheticals - ML 067
|
Apr 07, 2022 |
|
How to Teach Kids Science with Kathryn Hulick - ML 066
|
Mar 17, 2022 |
|
Business Infrastructure in ML with Joe Reis - ML 065
|
Mar 09, 2022 |
|
Data Feeds and KDNuggets with Maria Zentsova - ML 064
|
Mar 03, 2022 |
|
Rethinking ML Monitoring Part 2 - ML 063
|
Feb 24, 2022 |
|
How To Do Post-Production with Abhilash Pattnaik - ML 062
|
Feb 18, 2022 |
|
Accurate Predictive Modeling with Maarit Widmann - ML 061
|
Feb 10, 2022 |
|
Rethinking ML Monitoring - ML 060
|
Feb 03, 2022 |
|
Solving the Real Issues with the MLflow Team - ML 059
|
Jan 27, 2022 |
|
Cows, Camels, and the Human Brain - ML 058
|
Jan 20, 2022 |
|
Business Objectives and KPIs with Michael Berk
|
Jan 06, 2022 |
|
Prediction Intervals - ML 056
|
Dec 16, 2021 |
|
3 Fundamental Pillars You Need to Succeed as an Entrepreneur - BONUS
|
Dec 14, 2021 |
|
How to Integrate ML and Data Science Systems to Web and Mobile Apps - ML 055
|
Dec 02, 2021 |
|
BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
|
Nov 25, 2021 |
|
Tools, Tricks, and Learning in Machine Learning ft. Aliaksei Mikhailiuk - ML 054
|
Nov 18, 2021 |
|
A/B Testing with ML ft. Michael Berk - ML 053
|
Nov 11, 2021 |
|
Data Paradoxes in Data Sets with Pier Paolo Ippolito - ML 052
|
Nov 04, 2021 |
|
Testing Your MLOps - ML 051
|
Oct 28, 2021 |
|
Deploying Your Machine Learning Models with FastAPI ft. Ahmad Mustafa Anis - ML 050
|
Oct 21, 2021 |
|
Monitoring and Evaluating Data Sets ft. Emeli Dral and Elena Samuylova - ML 049
|
Oct 14, 2021 |
|
The MLOps Community with Demetrios Brinkmann - ML048
|
Oct 07, 2021 |
|
How to Build and Organize Production ML Solutions ft. Conor Murphy - ML 047
|
Sep 30, 2021 |
|
Using AI to Make the LifeCycle of Software Development Easier ft. Antonio Alegria - ML 046
|
Sep 22, 2021 |
|
Multi-modal AI and Machine Teaching ft. Slater Victoroff - ML 045
|
Sep 16, 2021 |
|
AI Assisted Development ft. Sydney Lai - ML 044
|
Sep 02, 2021 |
|
Data + ML: What Could Go Wrong? ft. Sandeep Uttamchandani - ML 043
|
Aug 26, 2021 |
|
From Software Engineer to Data Engineer ft. Alexey Grigorev - ML 042
|
Aug 19, 2021 |
|
Writing Production Code for ML ft. Ken Youens-Clark - ML 041
|
Aug 12, 2021 |
|
Machine Learning for Tabular Data in Practice ft. Mark Ryan - ML 040
|
Aug 05, 2021 |
|
Transformers and Attention in Machine Learning ft. Ekrem Aksoy - ML 039
|
Jul 29, 2021 |
|
Mentorship in Machine Learning - ML 038
|
Jul 22, 2021 |
|
Productionized Machine Learning Engineers featuring Laszlo Sragner - ML 037
|
Jul 13, 2021 |
|
Data Pipelines with Metaflow featuring Ville Tuulos - ML 036
|
Jul 08, 2021 |
|
Machine Learning: More than Just an Algorithm - ML 035
|
Jul 01, 2021 |
|
How to Get Started in Machine Learning - ML 034
|
Jun 24, 2021 |
|
Scaling video processing with Deep Learning - ML 033
|
Jun 17, 2021 |
|
The 3 Essentials for Successful Job Outcomes - BONUS
|
Jun 04, 2021 |
|
The 3 Essentials for Successful Job Outcomes - BONUS
|
Jun 03, 2021 |
|
How to Get Hired at a FANG Company - BONUS
|
May 28, 2021 |
|
Parallelizing Model Training with Michael Galarnyk - ML 032
|
May 27, 2021 |
|
The Best Machine Learning Frameworks and Tensorflow Extensions with Derrick Mwiti - ML 031
|
May 20, 2021 |
|
Automated Machine Learning with Qingquan Song - ML 030
|
May 13, 2021 |
|
Becoming the Go-To Person in Your Technology Area - BONUS
|
May 07, 2021 |
|
Machine Learning for the Mars Rover with Annie Didier - ML 029
|
May 06, 2021 |
|
Tensorflow.js with Gant Laborde - ML 028
|
Apr 29, 2021 |
|
Don't Let These Things Keep You From Podcasting - BONUS
|
Apr 29, 2021 |
|
BONUS: Relationships Matter Most
|
Apr 23, 2021 |
|
ML 027: Staying Current in Machine Learning
|
Apr 22, 2021 |
|
BONUS: How Opportunities Come Your Way When You're an Influencer
|
Apr 16, 2021 |
|
BONUS: How Opportunities Come Your Way When You're an Influencer
|
Apr 15, 2021 |
|
BONUS: What is Charles Max Wood's Biggest Payoff for Being a Dev Influencer?
|
Apr 09, 2021 |
|
ML 026: Sweetviz with Francois Bertrand
|
Apr 08, 2021 |
|
BONUS: How Jason Weimann Became a Game Developer
|
Apr 02, 2021 |
|
ML 025: Machine Learning and Quantum Computing with Ather Fawaz
|
Apr 01, 2021 |
|
BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer
|
Mar 26, 2021 |
|
BONUS: Continuing Your Learning Journey by Finding Mentors as an Influencer
|
Mar 26, 2021 |
|
ML 024: Machine Learning in Action with Ben Wilson
|
Mar 23, 2021 |
|
ML 023: Inside Machine Learning with Edward Raff
|
Mar 16, 2021 |
|
BONUS: How Charles Max Wood Started Podcasting -- And You Can Too
|
Mar 09, 2021 |
|
BONUS: How to get Freelance Clients to Come to You
|
Mar 02, 2021 |
|
ML 022: Machine Learning with TensorFlow Chris Mattmann
|
Feb 23, 2021 |
|
ML 021: Grokking Deep Reinforcement Learning with Miguel Morales
|
Feb 16, 2021 |
|
BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
|
Feb 05, 2021 |
|
BONUS: Measuring Apps and Entrepreneurship with John-Daniel Trask
|
Feb 05, 2021 |
|
ML 020: How to Make an Impact on the Development Community
|
Feb 02, 2021 |
|
ML 019: Artificial Intelligence as a Service with Peter Elger and Eóin Shanaghy
|
Jan 26, 2021 |
|
ML 018: Mastering Data Pipelines with Apache Spark with Jean-Georges Perrin
|
Jan 19, 2021 |
|
ML 017: The Nature of the World and AI with Rishal Hurbans
|
Jan 12, 2021 |
|
ML 016: Python as a Basis for Machine Learning with Ken Youens-Clark
|
Jan 05, 2021 |
|
BONUS: How to Crush Your Biggest Goals in 2021
|
Jan 01, 2021 |
|
ML 015: Extracting Value from Data with Alexey Grigorev
|
Dec 29, 2020 |
|
ML 014: Deep Learning with Structured Data with Mark Ryan
|
Dec 23, 2020 |
|
BONUS: How to do LARGE Volumes of HIGH Quality Work - While Spending Fewer Hours Working
|
Nov 27, 2020 |
|
ML 013: Recommender Systems with Frank Kane
|
Nov 17, 2020 |
|
ML 012: Machine Learning for Mere Mortals with Nick Chase
|
Nov 03, 2020 |
|
ML 011: History of AI in the UK with Laurence Moroney
|
Oct 27, 2020 |
|
ML 010: Brains, Guitars, and JavaScript with Milecia McGregor
|
Oct 20, 2020 |
|
ML 009: Effective Machine Learning in Academia and Industry with Hassan Kane
|
Oct 13, 2020 |
|
ML 008: TensorFlow.js and YOU with Jason Mayes
|
Oct 06, 2020 |
|
ML 007: Computer Vision & AI Scientist with Beril Sirmacek
|
Sep 29, 2020 |
|
ML 006: Mad Science AI with Benson Ruan
|
Sep 22, 2020 |
|
ML 005: Transfer Learning for NLP with Daniel Svoboda
|
Sep 15, 2020 |
|
ML 004: Automated Machine Learning ML with Jorge Torres
|
Sep 11, 2020 |
|
ML 003: Your GPU Brain with Robert Plummer
|
Sep 10, 2020 |
|
ML 002: DeOldify Your Life with Jason Antic
|
Sep 09, 2020 |
|
ML 001: The Adventures in Machine Learning First Steps
|
Sep 08, 2020 |