Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
…
continue reading
Content provided by OCDevel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by OCDevel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Similar to Machine Learning Guide
BBC Radio 5 live’s award winning gaming podcast, discussing the world of video games and games culture.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
continue reading
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
))
MLG 010 Languages & Frameworks
Manage episode 180982424 series 1457335
Content provided by OCDevel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by OCDevel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Try a walking desk to stay healthy while you study or work!
Full notes at ocdevel.com/mlg/10
Topics:Recommended Languages and Frameworks:
- Python and TensorFlow are top recommendations for machine learning.
- Python's versatile libraries (NumPy, Pandas, Scikit-Learn) enable it to cover all areas of data science including data mining, analytics, and machine learning.
Language Choices:
- C/C++: High performance, suitable for GPU optimization but not recommended unless already familiar.
- Math Languages (R, MATLAB, Octave, Julia): Optimized for mathematical operations, particularly R preferred for data analytics.
- JVM Languages (Java, Scala): Suited for scalable data pipelines (Hadoop, Spark).
Framework Details:
- TensorFlow: Comprehensive tool supporting a wide range of ML tasks; notably improves Python’s performance.
- Theano: First in symbolic graph framework, but losing popularity compared to newer frameworks.
- Torch: Initially favored for image recognition, now supports a Python API.
- Keras: High-level API running on top of TensorFlow or Theano for easier neural network construction.
- Scikit-learn: Good for shallow learning algorithms.
- C++ vs Python in ML: C++ offers direct GPU access for performance, but Python streamlined performance with frameworks that auto-generate optimized C code.
- R and Python in Data Analytics: Python’s Pandas and NumPy rival R with a strong general-purpose application beyond analytics.
- Python’s Ecosystem Benefits: Single programming ecosystem spans full data science workflow, crucial for integrated projects.
- Emerging Trends: Keep an eye on Julia for future considerations in math-heavy operations and industry adoption.
- Hardware Recommendations:
- Utilize Nvidia GPUs for machine learning due to superior support and integration with CUDA and cuDNN.
- Learning Resources:
- TensorFlow's documentation and tutorials are highly recommended for learning due to their thoroughness and regular updates.
- Suggested learning order: Learn Python fundamentals, then proceed to TensorFlow.
- Other languages like Node, Go, Rust: why not to use them.
- Best Programming Language for Machine Learning
- Data Science Job Report 2017
- An Overview of Python Deep Learning Frameworks
- Evaluation of Deep Learning Toolkits
- Comparing Frameworks: Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle, MxNet, Keras & CNTK - grain of salt, it's super heavy DL4J propaganda (written by them)
57 episodes
Share
Manage episode 180982424 series 1457335
Content provided by OCDevel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by OCDevel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
Try a walking desk to stay healthy while you study or work!
Full notes at ocdevel.com/mlg/10
Topics:Recommended Languages and Frameworks:
- Python and TensorFlow are top recommendations for machine learning.
- Python's versatile libraries (NumPy, Pandas, Scikit-Learn) enable it to cover all areas of data science including data mining, analytics, and machine learning.
Language Choices:
- C/C++: High performance, suitable for GPU optimization but not recommended unless already familiar.
- Math Languages (R, MATLAB, Octave, Julia): Optimized for mathematical operations, particularly R preferred for data analytics.
- JVM Languages (Java, Scala): Suited for scalable data pipelines (Hadoop, Spark).
Framework Details:
- TensorFlow: Comprehensive tool supporting a wide range of ML tasks; notably improves Python’s performance.
- Theano: First in symbolic graph framework, but losing popularity compared to newer frameworks.
- Torch: Initially favored for image recognition, now supports a Python API.
- Keras: High-level API running on top of TensorFlow or Theano for easier neural network construction.
- Scikit-learn: Good for shallow learning algorithms.
- C++ vs Python in ML: C++ offers direct GPU access for performance, but Python streamlined performance with frameworks that auto-generate optimized C code.
- R and Python in Data Analytics: Python’s Pandas and NumPy rival R with a strong general-purpose application beyond analytics.
- Python’s Ecosystem Benefits: Single programming ecosystem spans full data science workflow, crucial for integrated projects.
- Emerging Trends: Keep an eye on Julia for future considerations in math-heavy operations and industry adoption.
- Hardware Recommendations:
- Utilize Nvidia GPUs for machine learning due to superior support and integration with CUDA and cuDNN.
- Learning Resources:
- TensorFlow's documentation and tutorials are highly recommended for learning due to their thoroughness and regular updates.
- Suggested learning order: Learn Python fundamentals, then proceed to TensorFlow.
- Other languages like Node, Go, Rust: why not to use them.
- Best Programming Language for Machine Learning
- Data Science Job Report 2017
- An Overview of Python Deep Learning Frameworks
- Evaluation of Deep Learning Toolkits
- Comparing Frameworks: Deeplearning4j, Torch, Theano, TensorFlow, Caffe, Paddle, MxNet, Keras & CNTK - grain of salt, it's super heavy DL4J propaganda (written by them)
57 episodes
All episodes
×
Welcome to Player FM!
Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.
Similar to Machine Learning Guide
Redefining AI is the 2024 New York Digital Award winning tech podcast! Discover a whole new take on Artificial Intelligence in joining host Lauren Hawker Zafer, a top voice in Artificial Intelligence on LinkedIn, for insightful chats that unravel the fascinating world of tech innovation, use case exploration and AI knowledge. Dive into candid discussions with accomplished industry experts and established academics. With each episode, you'll expand your grasp of cutting-edge technologies and ...
…
continue reading
BBC Radio 5 live’s award winning gaming podcast, discussing the world of video games and games culture.
…
continue reading
Android Backstage, a podcast by and for Android developers. Hosted by developers from the Android engineering team, this show covers topics of interest to Android programmers, with in-depth discussions and interviews with engineers on the Android team at Google. Subscribe to Android Developers YouTube → https://goo.gle/AndroidDevs
…
continue reading
Africa-focused technology, digital and innovation ecosystem insight and commentary.
…
continue reading
Show notes are at https://stevelitchfield.com/sshow/chat.html
…
continue reading
Hanselminutes is Fresh Air for Developers. A weekly commute-time podcast that promotes fresh technology and fresh voices. Talk and Tech for Developers, Life-long Learners, and Technologists.
…
continue reading
The power of Data is undeniable. And unharnessed - it’s nothing but chaos. Making data your ally. Using it to lead with confidence and clarity. Host Jess Carter is solving problems in real-time to reveal what’s possible. Helping communities and people thrive. This is Data Driven Leadership, a show brought to you by Resultant.
…
continue reading
Download This Show is your weekly guide to the world of media, culture, and technology. From social media to gadgets, streaming services to privacy issues. Each week Rae Johnston and guests take a fun, deep dive into how technology is reshaping our lives.
…
continue reading
This is the audio podcast version of Troy Hunt's weekly update video published here: https://www.troyhunt.com/tag/weekly-update/
…
continue reading
The director’s commentary track for Daring Fireball. Long digressions on Apple, technology, design, movies, and more.
…
continue reading
Player FM - Podcast App
Go offline with the Player FM app!
Go offline with the Player FM app!
