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Practical AI: Machine Learning & Data Science

By Changelog Media

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, etc). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!

  1. 1.
    Building a deep learning workstation11/17/2020
    49:27
  2. 2.
    Killer developer tools for machine learning11/09/2020
    50:40
  3. 3.
    Reinforcement Learning for search10/26/2020
    47:03
  4. 4.
    When data leakage turns into a flood of trouble10/20/2020
    48:27
  5. 5.
    Productionizing AI at LinkedIn10/13/2020
    55:00
  6. 6.
    R, Data Science, & Computational Biology10/06/2020
    54:08
  7. 7.
    Learning about (Deep) Learning09/21/2020
    53:17
  8. 8.
    When AI goes wrong09/14/2020
    58:48
  1. 9.
    Speech tech and Common Voice at Mozilla09/09/2020
    58:30
  2. 10.
    Getting Waymo into autonomous driving09/01/2020
    1:00:35
  3. 11.
    Hidden Door and so much more08/24/2020
    56:03
  4. 12.
    Building the world's most popular data science platform08/17/2020
    59:12
  5. 13.
    Practical AI turns 100!!! 🎉08/11/2020
    1:09:53
  6. 14.
    Attack of the C̶l̶o̶n̶e̶s̶ Text!08/03/2020
    48:00
  7. 15.
    🤗 All things transformers with Hugging Face07/27/2020
    46:43
  8. 16.
    MLOps and tracking experiments with Allegro AI07/20/2020
    51:08
  9. 17.
    Practical AI Ethics07/14/2020
    52:30
  10. 18.
    The ins and outs of open source for AI07/07/2020
    47:17
  11. 19.
    Operationalizing ML/AI with MemSQL06/29/2020
    54:04
  12. 20.
    Roles to play in the AI dev workflow06/22/2020
    50:25
  13. 21.
    The long road to AGI06/15/2020
    50:15
  14. 22.
    Explaining AI explainability06/08/2020
    46:40
  15. 23.
    Exploring NVIDIA's Ampere & the A100 GPU05/26/2020
    53:19
  16. 24.
    AI for Good: clean water access in Africa05/11/2020
    42:30
  17. 25.
    Ask us anything (about AI)05/04/2020
    50:36
  18. 26.
    Reinforcement learning for chip design04/27/2020
    44:34
  19. 27.
    Exploring the COVID-19 Open Research Dataset04/20/2020
    43:40
  20. 28.
    Achieving provably beneficial, human-compatible AI04/13/2020
    52:51
  21. 29.
    COVID-19 Q&A and CORD-1904/06/2020
    54:28
  22. 30.
    Mapping the intersection of AI and GIS03/30/2020
    49:38
  23. 31.
    Welcome to Practical AI03/25/2020
    1:30
  24. 32.
    Speech recognition to say it just right03/23/2020
    49:14
  25. 33.
    Building a career in Data Science03/16/2020
    51:08
  26. 34.
    What exactly is "data science" these days?03/09/2020
    48:40
  27. 35.
    TensorFlow in the cloud03/02/2020
    47:37
  28. 36.
    NLP for the world's 7000+ languages02/24/2020
    54:50
  29. 37.
    Real-time conversational insights from phone call data02/17/2020
    51:46
  30. 38.
    AI-powered scientific exploration and discovery02/10/2020
    42:33
  31. 39.
    Insights from the AI Index 2019 Annual Report02/03/2020
    44:32
  32. 40.
    Testing ML systems01/27/2020
    47:33
  33. 41.
    AI-driven automation in manufacturing01/20/2020
    47:20
  34. 42.
    How the U.S. military thinks about AI01/13/2020
    48:52
  35. 43.
    2019's AI top 5 01/06/2020
    58:05
  36. 44.
    AI for search at Etsy12/23/2019
    46:14
  37. 45.
    Escaping the "dark ages" of AI infrastructure12/16/2019
    50:00
  38. 46.
    Modern NLP with spaCy12/09/2019
    56:25
  39. 47.
    Making GANs practical12/02/2019
    59:04
  40. 48.
    Build custom ML tools with Streamlit11/25/2019
    44:15
  41. 49.
    Intelligent systems and knowledge graphs11/18/2019
    57:09
  42. 50.
    Robot hands solving Rubik's cubes11/11/2019
    44:33
  43. 51.
    Open source data labeling tools11/05/2019
    44:20
  44. 52.
    It's time to talk time series10/28/2019
    42:45
  45. 53.
    AI in the browser10/21/2019
    49:39
  46. 54.
    Blacklisted facial recognition and surveillance companies10/15/2019
    49:25
  47. 55.
    Flying high with AI drone racing at AlphaPilot10/07/2019
    47:48
  48. 56.
    AI in the majority world and model distillation 09/30/2019
    45:09
  49. 57.
    The influence of open source on AI development09/25/2019
    45:31
  50. 58.
    Worlds are colliding - AI and HPC09/17/2019
    48:24
  51. 59.
    AutoML and AI at Google09/09/2019
    58:38
  52. 60.
    On being humAIn08/26/2019
    55:52
  53. 61.
    Serving deep learning models with RedisAI08/12/2019
    46:16
  54. 62.
    AI-driven studies of the ancient world and good GANs07/30/2019
    54:50
  55. 63.
    AI code that facilitates good science07/19/2019
    53:00
  56. 64.
    Celebrating episode 50 and the neural net!07/03/2019
    50:54
  57. 65.
    Exposing the deception of DeepFakes06/25/2019
    55:15
  58. 66.
    Model inspection and interpretation at Seldon06/17/2019
    43:43
  59. 67.
    GANs, RL, and transfer learning oh my!06/11/2019
    51:32
  60. 68.
    Visualizing and understanding RNNs06/04/2019
    46:18
  61. 69.
    How to get plugged into the AI community05/28/2019
    1:02:21
  62. 70.
    AI adoption in the enterprise05/21/2019
    57:09
  63. 71.
    When AI meets quantum mechanics05/14/2019
    1:02:09
  64. 72.
    TensorFlow Dev Summit 201905/07/2019
    59:20
  65. 73.
    CTRL-labs lets you control machines with your mind04/30/2019
    1:03:21
  66. 74.
    Deep Reinforcement Learning04/23/2019
    45:35
  67. 75.
    Making the world a better place at the AI for Good Foundation04/15/2019
    51:38
  68. 76.
    GIPHY's celebrity detector04/08/2019
    49:22
  69. 77.
    The landscape of AI infrastructure04/02/2019
    51:32
  70. 78.
    Growing up to become a world-class AI expert03/25/2019
    1:05:36
  71. 79.
    Social AI with Hugging Face03/18/2019
    39:06
  72. 80.
    The White House Executive Order on AI03/11/2019
    40:35
  73. 81.
    Staving off disaster through AI safety research03/04/2019
    50:59
  74. 82.
    OpenAI's new "dangerous" GPT-2 language model02/25/2019
    40:29
  75. 83.
    AI for social good at Intel02/20/2019
    37:57
  76. 84.
    GirlsCoding.org empowers young women to embrace computer science02/13/2019
    40:36
  77. 85.
    How Microsoft is using AI to help the Earth02/04/2019
    44:40
  78. 86.
    New year’s resolution: dive into deep learning!01/28/2019
    35:34
  79. 87.
    IBM's AI for detecting neurological state01/21/2019
    41:43
  80. 88.
    2018 in review and bold predictions for 201901/14/2019
    42:23
  81. 89.
    Finding success with AI in the enterprise12/17/2018
    40:41
  82. 90.
    So you have an AI model, now what?12/10/2018
    39:53
  83. 91.
    Pachyderm's Kubernetes-based infrastructure for AI12/03/2018
    41:39
  84. 92.
    BERT: one NLP model to rule them all11/27/2018
    38:53
  85. 93.
    UBER and Intel’s Machine Learning platforms11/19/2018
    28:49
  86. 94.
    Analyzing AI's impact on society through art and film11/12/2018
    44:04
  87. 95.
    Getting into data science and AI11/05/2018
    30:11
  88. 96.
    AIs that look human and create portraits of humans10/31/2018
    34:52
  89. 97.
    Fighting bias in AI (and in hiring)10/22/2018
    41:03
  90. 98.
    PyTorch 1.0 vs TensorFlow 2.010/15/2018
    44:19
  91. 99.
    Artificial intelligence at NVIDIA10/08/2018
    44:45
  92. 100.
    OpenAI, reinforcement learning, robots, safety10/01/2018
    33:07
  93. 101.
    Answering recent AI questions from Quora09/18/2018
    48:53
  94. 102.
    AI in healthcare, synthesizing dance moves, hardware acceleration09/03/2018
    20:53
  95. 103.
    Robot Perception and Mask R-CNN08/27/2018
    46:42
  96. 104.
    Open source tools, AI for Dota, and enterprise ML adoption08/21/2018
    31:51
  97. 105.
    Behavioral economics and AI-driven decision making08/13/2018
    50:25
  98. 106.
    Eye tracking, Henry Kissinger on AI, Vim08/06/2018
    28:58
  99. 107.
    Understanding the landscape of AI techniques07/30/2018
    44:45
  100. 108.
    Government use of facial recognition and AI at Google07/23/2018
    18:16
  101. 109.
    Detecting planets with deep learning07/16/2018
    45:16
  102. 110.
    Data management, regulation, the future of AI07/09/2018
    48:25
  103. 111.
    Helping African farmers with TensorFlow07/02/2018
    42:39
  104. 112.
    Putting AI in a box at MachineBox07/02/2018
    45:03
  105. 113.
    Meet your Practical AI hosts07/02/2018
    35:27

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