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    AI Deep Dive: How Machine Learning Actually Works

    27 min
    |
    |
    12 dic 2025
    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

    Miglior citazione da 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.

    ”

    Questa lezione audio è stata creata da un membro della comunità BeFreed

    Domanda di input

    artificial intelligence, machine learning, and how AI works

    Voci dei presentatori
    Niaplay
    Eliplay
    Fonti di conoscenza
    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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    "Perfect balance between learning and entertainment. Finished ‘Thinking, Fast and Slow’ on my commute this week."

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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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    Crucial ConversationsThe Perfect MarriageInto the WildNever Split the DifferenceAttachedGood to GreatSay Nothing
    Categorie di tendenza
    Self HelpCommunication SkillRelationshipMindfulnessPhilosophyInspirationProductivity
    Liste di lettura delle celebrita
    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
    Argomenti in evidenza
    ManagementAmerican HistoryWarTradingStoicismAnxietySex
    Migliori libri per anno
    2025 Best Non Fiction Books2024 Best Non Fiction Books2023 Best Non Fiction Books
    Strumenti di apprendimento
    Knowledge VisualizerAI Podcast Generator
    Autori in evidenza
    Chimamanda Ngozi AdichieGeorge OrwellO. J. SimpsonBarbara O'NeillWinston ChurchillCharlie Kirk
    BeFreed vs altre app
    BeFreed vs. Other Book Summary AppsBeFreed vs. ElevenReaderBeFreed vs. ReadwiseBeFreed vs. Anki
    Informazioni
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    Parte di un piano di apprendimento

    Python programming for LLMs and evals
    PIANO DI APPRENDIMENTO

    Python programming for LLMs and evals

    4 h 17 m•4 Episodi

    Punti chiave

    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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