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Daftar Kosakata Kecerdasan Buatan (Inggris - Indonesia)

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Machine Learning

  1. Machine Learning = /məˈʃiːn ˈlɜːrnɪŋ/ = Pembelajaran mesin
  2. Supervised Learning = /ˈsuːpərvaɪzd ˈlɜːrnɪŋ/ = Pembelajaran terawasi
  3. Unsupervised Learning = /ˌʌnˈsuːpərvaɪzd ˈlɜːrnɪŋ/ = Pembelajaran tanpa pengawasan
  4. Reinforcement Learning = /ˌriːɪnˈfɔːrsmənt ˈlɜːrnɪŋ/ = Pembelajaran penguatan
  5. Overfitting = /ˌoʊvərˈfɪtɪŋ/ = Kelebihan pencocokan
  6. Underfitting = /ˌʌndərˈfɪtɪŋ/ = Kekurangan pencocokan
  7. Training Data = /ˈtreɪnɪŋ ˈdeɪtə/ = Data pelatihan
  8. Test Data = /ˈtɛst ˈdeɪtə/ = Data uji
  9. Validation Set = /ˌvælɪˈdeɪʃən sɛt/ = Set validasi
  10. Feature Extraction = /ˈfiːtʃər ɪkˈstrækʃən/ = Ekstraksi fitur

Neural Networks

  1. Neural Network = /ˈnʊrəl ˈnɛtwɜːrk/ = Jaringan saraf tiruan
  2. Perceptron = /pərˈsɛptrɒn/ = Perceptron
  3. Activation Function = /ˌæktɪˈveɪʃən ˈfʌŋkʃən/ = Fungsi aktivasi
  4. Backpropagation = /ˌbækˌprɑːpəˈɡeɪʃən/ = Backpropagation
  5. Convolutional Neural Network = /ˌkɒnvəˈluːʃənəl ˈnʊrəl ˈnɛtwɜːrk/ = Jaringan saraf konvolusional
  6. Recurrent Neural Network = /ˌriˈkɜːrənt ˈnʊrəl ˈnɛtwɜːrk/ = Jaringan saraf berulang
  7. Dropout = /ˈdrɒpaʊt/ = Dropout
  8. Gradient Descent = /ˈɡreɪdiənt dɪˈsɛnt/ = Penurunan gradien
  9. Epoch = /ˈiːpɒk/ = Epok
  10. Optimizer = /ˈɑːptəˌmaɪzər/ = Pengoptimal

Natural Language Processing

  1. Natural Language Processing = /ˈnætʃərəl ˈlæŋɡwɪdʒ ˈprɑːsɛsɪŋ/ = Pengolahan bahasa alami
  2. Tokenization = /ˌtoʊkənɪˈzeɪʃən/ = Tokenisasi
  3. Part-of-Speech Tagging = /ˌpɑːrt əv spiːtʃ ˈtæɡɪŋ/ = Pelabelan kelas kata
  4. Named Entity Recognition = /ˈneɪmd ˈɛntəti ˌrɛkəɡˈnɪʃən/ = Pengenalan entitas bernama
  5. Stop Words = /stɒp wɜːrdz/ = Kata henti
  6. Lemmatization = /ˌlɛməˌtaɪˈzeɪʃən/ = Lemmatisasi
  7. Stemming = /ˈstɛmɪŋ/ = Stemming
  8. Word Embedding = /wɜːrd ɛmˈbɛdɪŋ/ = Penyematan kata
  9. Language Model = /ˈlæŋɡwɪdʒ ˈmɒdəl/ = Model bahasa
  10. Syntax Parsing = /ˈsɪntæks ˈpɑːrsɪŋ/ = Penguraian sintaksis

Computer Vision

  1. Computer Vision = /kəmˈpjuːtər ˈvɪʒən/ = Penglihatan komputer
  2. Image Classification = /ˈɪmɪdʒ ˌklæsɪfɪˈkeɪʃən/ = Klasifikasi citra
  3. Object Detection = /ˈɒbdʒɪkt dɪˈtɛkʃən/ = Deteksi objek
  4. Image Segmentation = /ˈɪmɪdʒ ˌsɛɡmənˈteɪʃən/ = Segmentasi citra
  5. Feature Map = /ˈfiːtʃər mæp/ = Peta fitur
  6. Region Proposal = /ˈriːdʒən prəˈpoʊzəl/ = Usulan wilayah
  7. Convolution = /ˌkɒnvəˈluːʃən/ = Konvolusi
  8. Pooling = /ˈpuːlɪŋ/ = Penggabungan
  9. Bounding Box = /ˈbaʊndɪŋ bɒks/ = Kotak pembatas
  10. Non-Max Suppression = /nɒn mæks səˈprɛʃən/ = Penekanan non-maksimum

Robotics

  1. Robotics = /roʊˈbɒtɪks/ = Robotika
  2. Actuator = /ˈæktʃuːˌeɪtər/ = Aktuator
  3. Sensor = /ˈsɛnsər/ = Sensor
  4. Manipulator = /məˈnɪpjəˌleɪtər/ = Manipulator
  5. Autonomous Navigation = /ɔːˈtɒnəməs ˌnævɪˈɡeɪʃən/ = Navigasi otonom
  6. Path Planning = /pæθ ˈplænɪŋ/ = Perencanaan jalur
  7. Kinematics = /ˌkɪnəˈmætɪks/ = Kinematika
  8. Dynamics = /daɪˈnæmɪks/ = Dinamika
  9. End Effector = /ɛnd ɪˈfɛktər/ = Ujung efektor
  10. Control System = /kənˈtroʊl ˈsɪstəm/ = Sistem kendali

Data Science

  1. Data Science = /ˈdeɪtə ˈsaɪəns/ = Ilmu data
  2. Big Data = /bɪɡ ˈdeɪtə/ = Data besar
  3. Data Mining = /ˈdeɪtə ˌmaɪnɪŋ/ = Penambangan data
  4. Predictive Analytics = /prɪˈdɪktɪv ænəˈlɪtɪks/ = Analitik prediktif
  5. Descriptive Analytics = /dɪˈskrɪptɪv ænəˈlɪtɪks/ = Analitik deskriptif
  6. Prescriptive Analytics = /prɪˈskrɪptɪv ænəˈlɪtɪks/ = Analitik preskriptif
  7. Data Cleaning = /ˈdeɪtə ˈkliːnɪŋ/ = Pembersihan data
  8. Data Wrangling = /ˈdeɪtə ˈræŋɡlɪŋ/ = Pengolahan data
  9. ETL = /iː tiː ɛl/ = Ekstraksi, transformasi, pemuatan
  10. Data Visualization = /ˈdeɪtə ˌvɪʒuəlɪˈzeɪʃən/ = Visualisasi data

Expert Systems

  1. Expert System = /ˈɛkspɜːrt ˈsɪstəm/ = Sistem pakar
  2. Knowledge Base = /ˈnɒlɪdʒ beɪs/ = Basis pengetahuan
  3. Inference Engine = /ˈɪnfərəns ˈɛnʤɪn/ = Mesin inferensi
  4. Rule-Based System = /ruːl beɪst ˈsɪstəm/ = Sistem berbasis aturan
  5. Forward Chaining = /ˈfɔːrwərd ˈʧeɪnɪŋ/ = Penalaran maju
  6. Backward Chaining = /ˈbækwərd ˈʧeɪnɪŋ/ = Penalaran mundur
  7. Fuzzy Logic = /ˈfʌzi ˈlɒdʒɪk/ = Logika fuzzy
  8. Knowledge Representation = /ˈnɒlɪdʒ ˌrɛprɪzɛnˈteɪʃən/ = Representasi pengetahuan
  9. Decision Tree = /dɪˈsɪʒən triː/ = Pohon keputusan
  10. Certainty Factor = /ˈsɜːrtənti ˈfæktər/ = Faktor kepastian

Deep Learning

  1. Deep Learning = /diːp ˈlɜːrnɪŋ/ = Pembelajaran mendalam
  2. Autoencoder = /ˈɔːtoʊɪnˌkoʊdər/ = Autoencoder
  3. Generative Adversarial Network = /ˈʤɛnərətɪv ˌædvərˈsɛriəl ˈnɛtwɜːrk/ = Jaringan adversarial generatif
  4. Batch Normalization = /bætʃ ˌnɔːrmələˈzeɪʃən/ = Normalisasi batch
  5. Loss Function = /lɒs ˈfʌŋkʃən/ = Fungsi kerugian
  6. Learning Rate = /ˈlɜːrnɪŋ reɪt/ = Laju pembelajaran
  7. Transfer Learning = /ˈtrænsfər ˈlɜːrnɪŋ/ = Pembelajaran transfer
  8. Fine-Tuning = /faɪn ˈtuːnɪŋ/ = Penyetelan halus
  9. Attention Mechanism = /əˈtɛnʃən ˈmɛkənɪzəm/ = Mekanisme perhatian
  10. Transformer = /trænsˈfɔːrmər/ = Transformer

AI Ethics

  1. AI Ethics = /ˌeɪ aɪ ˈɛθɪks/ = Etika kecerdasan buatan
  2. Bias = /ˈbaɪəs/ = Bias
  3. Fairness = /ˈfɛrnəs/ = Kesetaraan
  4. Transparency = /trænsˈpærənsi/ = Transparansi
  5. Accountability = /əˌkaʊntəˈbɪlɪti/ = Akuntabilitas
  6. Privacy = /ˈpraɪvəsi/ = Privasi
  7. Security = /sɪˈkjʊrɪti/ = Keamanan
  8. Explainability = /ɪkˌspleɪnəˈbɪlɪti/ = Keterjelasan
  9. Responsibility = /rɪˌspɒnsəˈbɪlɪti/ = Tanggung jawab
  10. Human-Centric AI = /ˈhjuːmən ˈsɛntrɪk eɪ aɪ/ = AI berpusat pada manusia
  11. Regulation = /ˌrɛɡjəˈleɪʃən/ = Regulasi

Reinforcement Learning

  1. Agent = /ˈeɪʤənt/ = Agen
  2. Environment = /ɪnˈvaɪrənmənt/ = Lingkungan
  3. Reward = /rɪˈwɔːrd/ = Penghargaan
  4. Policy = /ˈpɒləsi/ = Kebijakan
  5. Value Function = /ˈvæljuː ˈfʌŋkʃən/ = Fungsi nilai
  6. Q-Learning = /ˈkjuː ˈlɜːrnɪŋ/ = Q-Learning
  7. Exploration = /ˌɛkspləˈreɪʃən/ = Eksplorasi
  8. Exploitation = /ˌɛksplɔɪˈteɪʃən/ = Eksploitasi
  9. State Space = /steɪt speɪs/ = Ruang keadaan
  10. Markov Decision Process = /ˈmɑːrkɒv dɪˈsɪʒən ˈprɒsɛs/ = Proses keputusan Markov
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