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    AI Deep Dive: How Machine Learning Actually Works

    27 min
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    12 дек. 2025 г.
    Technology

    Journey from AI's theoretical origins to today's breakthroughs. Nia and Eli decode neural networks, explore real applications, and reveal how humans and machines can work together to shape our intelligent future.

    AI Deep Dive: How Machine Learning Actually Works

    Лучшая цитата из AI Deep Dive: How Machine Learning Actually Works

    “

    The technology itself is neutral—it's the choices we make about how to use it that determine whether it helps or harms. The future of AI is really about the future of human choice and wisdom.

    ”
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    Вопрос для ввода

    artificial intelligence, machine learning, and how AI works

    Голоса ведущих
    Niaplay
    Eliplay
    Источники знаний
    A Brief History of Artificial Intelligence
    Hands-on Machine Learning With Scikit-learn And Tensorflow
    Make your own neural network
    Master Algorithm
    Keras Reinforcement Learning Projects
    How to Speak Machine

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

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    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

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    "I never knew where to start with nonfiction—BeFreed’s book lists turned into podcasts gave me a clear path."

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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

    @Raaaaaachelw
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    "Crazy how much I learned while walking the dog. BeFreed = small habits → big gains."

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    "Reading used to feel like a chore. Now it’s just part of my lifestyle."

    @Erin, Investment Banking Associate , NYC
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    254
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    "Feels effortless compared to reading. I’ve finished 6 books this month already."

    @djmikemoore
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    "BeFreed turned my guilty doomscrolling into something that feels productive and inspiring."

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    "BeFreed turned my commute into learning time. 20-min podcasts are perfect for finishing books I never had time for."

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    "The themed book list podcasts help me connect ideas across authors—like a guided audio journey."

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    "Makes me feel smarter every time before going to work"

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    Часть плана обучения

    Python programming for LLMs and evals
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    Python programming for LLMs and evals

    4 h 17 m•4 Эпизоды

    Ключевые выводы

    1

    Welcome to Your AI Deep Dive

    0:00
    0:11
    0:23
    0:38
    2

    The Extraordinary Journey from Dreams to Reality

    0:48
    1:01
    1:18
    1:24
    1:45
    1:54
    2:10
    2:21
    2:36
    2:41
    2:58
    1:54
    3:18
    3

    The Great Philosophical Divide: Mind vs. Brain

    3:26
    2:41
    3:46
    3:51
    4:08
    1:54
    4:27
    4:37
    4:53
    5:03
    5:19
    5:23
    4

    The Rollercoaster Ride: AI Winters and Summers

    5:37
    5:47
    5:59
    6:02
    6:20
    1:54
    6:41
    6:48
    7:02
    7:04
    7:17
    1:54
    7:40
    7:45
    5

    The Deep Learning Revolution That Changed Everything

    7:54
    2:41
    8:15
    8:21
    8:35
    8:38
    8:55
    1:54
    9:18
    9:21
    9:34
    6:48
    9:54
    9:57
    6

    Beyond the Hype: Real Challenges and Practical Progress

    10:12
    10:24
    10:37
    10:38
    10:56
    1:54
    11:16
    11:17
    11:31
    9:57
    11:50
    11:54
    12:09
    12:13
    7

    The Science Behind Machine Learning Magic

    12:21
    3:51
    12:46
    12:53
    13:06
    1:54
    13:21
    6:48
    13:37
    13:41
    13:59
    1:54
    8

    From Simple Rules to Complex Intelligence

    14:15
    14:26
    14:37
    6:48
    14:58
    1:54
    15:18
    15:20
    15:33
    15:38
    1:45
    16:00
    9

    The Art and Science of Teaching Machines

    16:13
    16:22
    16:33
    16:35
    16:49
    8:38
    17:07
    17:10
    17:25
    1:54
    17:39
    17:41
    17:54
    1:54
    10

    Real-World Applications: From Theory to Practice

    18:10
    18:18
    18:29
    18:34
    18:48
    1:54
    19:06
    19:07
    19:20
    6:48
    19:36
    5:03
    19:52
    19:57
    11

    The Human-Machine Partnership

    20:08
    5:03
    20:34
    1:54
    20:51
    6:48
    21:11
    21:17
    21:32
    1:54
    21:50
    21:56
    12

    Practical Takeaways for Everyone Listening

    22:12
    3:51
    22:39
    22:41
    22:56
    1:54
    23:15
    6:48
    23:32
    23:35
    23:49
    5:03
    24:03
    24:06
    13

    Looking Forward: The Future of Intelligence

    24:21
    24:30
    24:43
    5:03
    24:59
    25:04
    25:19
    1:54
    25:38
    25:43
    25:54
    5:03
    26:07
    6:48
    26:25
    26:29
    26:39
    26:53
    0:23
    27:17
    27:28

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