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    AI Deep Dive: How Machine Learning Actually Works

    27 min
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    12 дек. 2025 г.
    AITechnologyScience

    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.

    ”

    Этот аудиоурок был создан участником сообщества BeFreed

    Вопрос для ввода

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

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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."

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

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    Популярные категории
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    Списки чтения знаменитостей
    Elon MuskCharlie KirkBill GatesSteve JobsAndrew HubermanJoe RoganJordan Peterson
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    Pulitzer PrizeNational Book AwardGoodreads Choice AwardsNobel Prize in LiteratureNew York TimesCaldecott MedalNebula Award
    Избранные темы
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Лучшие книги по годам
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    Инструменты обучения
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    Избранные авторы
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    Часть плана обучения

    人工智能基础学习

    人工智能基础学习

    ПЛАН ОБУЧЕНИЯ

    人工智能基础学习

    1 h 56 m•4 Эпизоды
    Python programming for LLMs and evals

    Python programming for LLMs and evals

    ПЛАН ОБУЧЕНИЯ

    Python programming for LLMs and evals

    3 h 3 m•4 Эпизоды
    Expand IT skills in dev, programming & AI

    Expand IT skills in dev, programming & AI

    ПЛАН ОБУЧЕНИЯ

    Expand IT skills in dev, programming & AI

    2 h 35 m•4 Эпизоды
    Future tech & AI secrets

    Future tech & AI secrets

    ПЛАН ОБУЧЕНИЯ

    Future tech & AI secrets

    2 h 29 m•4 Эпизоды
    Improve SQL/Python/AI skills

    Improve SQL/Python/AI skills

    ПЛАН ОБУЧЕНИЯ

    Improve SQL/Python/AI skills

    1 h 49 m•4 Эпизоды
    Algorithm and ai

    Algorithm and ai

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    Algorithm and ai

    2 h 28 m•4 Эпизоды
    Master-level CS knowledge

    Master-level CS knowledge

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    Master-level CS knowledge

    3 h 5 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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