{"id":3748,"date":"2023-03-02T19:13:39","date_gmt":"2023-03-02T19:13:39","guid":{"rendered":"https:\/\/www.tsaai.eu\/%d0%bc%d0%b5%d1%82%d0%be%d0%b4%d0%b8-%d0%b8-%d0%b0%d0%bb%d0%b0%d1%82%d0%ba%d0%b8-%d0%b2%d0%be-%d0%b2%d0%b5%d1%88%d1%82%d0%b0%d1%87%d0%ba%d0%b0%d1%82%d0%b0-%d0%b8%d0%bd%d1%82%d0%b5%d0%bb%d0%b8%d0%b3\/"},"modified":"2023-07-09T22:02:30","modified_gmt":"2023-07-09T22:02:30","slug":"%d0%bc%d0%b5%d1%82%d0%be%d0%b4%d0%b8-%d0%b8-%d0%b0%d0%bb%d0%b0%d1%82%d0%ba%d0%b8-%d0%b2%d0%be-%d0%b2%d0%b5%d1%88%d1%82%d0%b0%d1%87%d0%ba%d0%b0%d1%82%d0%b0-%d0%b8%d0%bd%d1%82%d0%b5%d0%bb%d0%b8%d0%b3","status":"publish","type":"page","link":"https:\/\/www.tsaai.eu\/mk\/%d0%bc%d0%b5%d1%82%d0%be%d0%b4%d0%b8-%d0%b8-%d0%b0%d0%bb%d0%b0%d1%82%d0%ba%d0%b8-%d0%b2%d0%be-%d0%b2%d0%b5%d1%88%d1%82%d0%b0%d1%87%d0%ba%d0%b0%d1%82%d0%b0-%d0%b8%d0%bd%d1%82%d0%b5%d0%bb%d0%b8%d0%b3\/","title":{"rendered":"\u041c\u0435\u0442\u043e\u0434\u0438 \u0438 \u0430\u043b\u0430\u0442\u043a\u0438 \u0432\u043e \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430\u0442\u0430 \u0418\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430"},"content":{"rendered":"

\u041c\u0435\u0442\u043e\u0434\u0438 \u0438 \u0430\u043b\u0430\u0442\u043a\u0438 \u0432\u043e \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430\u0442\u0430 \u0418\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430<\/h2><\/div>

<\/i><\/i><\/span>\u0412\u043e\u0432\u0435\u0434 \u0438 \u043f\u0440\u0435\u0433\u043b\u0435\u0434<\/span><\/a><\/h4><\/div>
<\/div><\/div><\/div>

<\/i><\/i><\/span>\u0415\u043a\u0441\u043f\u0435\u0440\u0442\u0441\u043a\u0438 \u0438 \u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0442\u043d\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u0438<\/span><\/a><\/h4><\/div>
\n
    \n
  1. \u0414\u0435\u0444\u0438\u043d\u0438\u0446\u0438\u0458\u0430 \u043d\u0430 \u0435\u043a\u0441\u043f\u0435\u0440\u0442\u0441\u043a\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u0438<\/li>\n
  2. \u041a\u043e\u043c\u043f\u043e\u043d\u0435\u043d\u0442\u0438 \u043d\u0430 \u0435\u043a\u0441\u043f\u0435\u0440\u0442\u0441\u043a\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u0438<\/li>\n
  3. \u041f\u0440\u0438\u043c\u0435\u0440\u0438 \u0437\u0430 \u0435\u043a\u0441\u043f\u0435\u0440\u0442\u0441\u043a\u0438 \u0441\u0438\u0441\u0442\u0435\u043c\u0438<\/li>\n<\/ol>\n<\/div><\/div><\/div>

    <\/i><\/i><\/span>\u041c\u0430\u0448\u0438\u043d\u0441\u043a\u043e \u0443\u0447\u0435\u045a\u0435<\/span><\/a><\/h4><\/div>
    \n
      \n
    1. \u0423\u0447\u0435\u045a\u0435 \u043e\u0434 \u043f\u0440\u0438\u043c\u0435\u0440\u0438<\/li>\n
    2. \u0412\u0438\u0434\u043e\u0432\u0438 \u043d\u0430 \u0443\u0447\u0435\u045a\u0435\n
        \n
      1. \u0423\u0447\u0435\u045a\u0435 \u043f\u043e\u0434 \u043d\u0430\u0434\u0437\u043e\u0440 (Supervised Learning)<\/li>\n
      2. \u0423\u0447\u0435\u045a\u0435 \u0431\u0435\u0437 \u043d\u0430\u0434\u0437\u043e\u0440 (Unsupervised Learning )<\/li>\n
      3. \u0417\u0430\u0458\u0430\u043a\u043d\u0430\u0442\u043e \u0443\u0447\u0435\u045a\u0435 (Reinforcement Learning)<\/li>\n<\/ol>\n<\/li>\n
      4. \u041f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u0438 \u0430\u043b\u0430\u0442\u043a\u0438 \u0437\u0430 \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430 \u0418\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430 \/ \u043c\u0430\u0448\u0438\u043d\u0441\u043a\u043e \u0443\u0447\u0435\u045a\u0435\n
          \n
        1. \u041e\u043a\u043e\u043b\u0438\u043d\u0430 \u043f\u0440\u0438 \u043f\u0440\u043e\u0433\u0440\u0430\u043c\u0438\u0440\u0430\u045a\u0435<\/li>\n
        2. \u0413\u0440\u0430\u0444\u0438\u0447\u043a\u0438 \u0430\u043b\u0430\u0442\u043a\u0438, Konstanz Information Miner (KNIME)<\/li>\n<\/ol>\n<\/li>\n
        3. \u0420\u0435\u0433\u0440\u0435\u0441\u0438\u0458\u0430\n
            \n
          1. \u0423\u043d\u0438\u0432\u0430\u0440\u0438\u0458\u0430\u0442\u043d\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0438\u0458\u0430<\/li>\n
          2. \u041c\u0443\u043b\u0442\u0438\u0432\u0430\u0440\u0438\u0458\u0430\u0442\u043d\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0438\u0458\u0430<\/li>\n
          3. \u041a\u0432\u0430\u043b\u0438\u0442\u0435\u0442 \u043d\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0438\u043e\u043d\u0438\u0442\u0435 \u043c\u043e\u0434\u0435\u043b\u0438<\/li>\n<\/ol>\n<\/li>\n
          4. \u041a\u043b\u0430\u0441\u0438\u0444\u0438\u043a\u0430\u0446\u0438\u0458\u0430\n
              \n
            1. \u041b\u043e\u0433\u0438\u0441\u0442\u0438\u0447\u043a\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0438\u0458\u0430<\/li>\n
            2. \u0414\u0440\u0432\u0430 \u043d\u0430 \u043e\u0434\u043b\u0443\u0447\u0443\u0432\u0430\u045a\u0435<\/li>\n
            3. \u041a\u0432\u0430\u043b\u0438\u0442\u0435\u0442 \u043d\u0430 \u043a\u043b\u0430\u0441\u0438\u0444\u0438\u043a\u0430\u0442\u043e\u0440\u0438<\/li>\n<\/ol>\n<\/li>\n
            4. \u041f\u0440\u0438\u0441\u0442\u0440\u0430\u0441\u043d\u043e\u0441\u0442 \u0438 \u0432\u0430\u0440\u0438\u0440\u0430\u045a\u0435<\/li>\n
            5. \u0418\u0437\u0434\u0432\u043e\u0458\u0443\u0432\u0430\u045a\u0435 \u043d\u0430 \u043a\u0430\u0440\u0430\u043a\u0442\u0435\u0440\u0438\u0441\u0442\u0438\u043a\u0438<\/li>\n
            6. “Ensemble” \u0443\u0447\u0435\u045a\u0435\n
                \n
              1. \u041c\u0435\u0442\u043e\u0434 \u043d\u0430 \u0441\u043b\u0443\u0447\u0430\u0458\u043d\u0430 \u0448\u0443\u043c\u0430<\/li>\n
              2. \u041c\u0435\u0442\u043e\u0434 \u043d\u0430 \u0440\u0435\u0433\u0440\u0435\u0441\u0438\u043e\u043d\u0438 \u0434\u0440\u0432\u0430<\/li>\n
              3. \u041c\u0435\u0442\u043e\u0434 \u043d\u0430 \u043f\u043e\u0458\u0430\u0447\u0430\u043d\u0438 \u0434\u0440\u0432\u0430<\/li>\n
              4. \u0425\u0438\u043f\u0435\u0440\u043f\u0430\u0440\u0430\u043c\u0435\u0442\u0430\u0440 -“\u0422\u0458\u0443\u043d\u0438\u0440\u0430\u045a\u0435” \u0432\u043e \u043c\u0430\u0448\u0438\u043d\u0441\u043a\u0438 \u0443\u0447\u0435\u045a\u0435<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div><\/div><\/div>

                <\/i><\/i><\/span>\u0414\u043b\u0430\u0431\u043e\u043a\u043e \u0443\u0447\u0435\u045a\u0435<\/span><\/a><\/h4><\/div>
                \n
                  \n
                1. \u041d\u0435\u0432\u0440\u043e\u043d\u0441\u043a\u0438 \u043c\u0440\u0435\u0436\u0438\n
                    \n
                  1. \u041d\u0435\u0432\u0440\u043e\u043d\u0438 \u0432\u043e \u0431\u0438\u043e\u043b\u043e\u0433\u0438\u0458\u0430<\/li>\n
                  2. \u041f\u0435\u0440\u0446\u0435\u043f\u0442\u0440\u043e\u043d<\/li>\n
                  3. \u041f\u0440\u043e\u043f\u0430\u0433\u0430\u0446\u0438\u0458\u0430 \u043d\u0430\u043d\u0430\u0437\u0430\u0434 \u0438 \u0444\u0443\u043d\u043a\u0446\u0438\u0458\u0430 \u043d\u0430 \u0437\u0430\u0433\u0443\u0431\u0430<\/li>\n
                  4. \u041a\u043e\u043d\u0432\u043e\u043b\u0443\u0442\u0438\u0432\u043d\u0438 \u043d\u0435\u0432\u0440\u043e\u043d\u0441\u043a\u0438 \u043c\u0440\u0435\u0436\u0438 (Convolutional Neural Networks – CNN)<\/li>\n
                  5. \u0420\u0435\u043a\u0443\u0440\u0435\u043d\u0442\u043d\u0438 \u043d\u0435\u0432\u0440\u043e\u043d\u0441\u043a\u0438 \u043c\u0440\u0435\u0436\u0438 (Recurrent Neural Networks – RNN)<\/li>\n<\/ol>\n<\/li>\n
                  6. \u0414\u043b\u0430\u0431\u043e\u043a\u043e \u0443\u0447\u0435\u045a\u0435: \u043f\u0440\u0438\u043c\u0435\u0440\u0438 \u0438 \u0441\u043b\u0443\u0447\u0430\u0438 \u043d\u0430 \u0443\u043f\u043e\u0442\u0440\u0435\u0431\u0430<\/li>\n
                  7. \u041f\u0440\u0430\u043a\u0442\u0438\u0447\u043d\u0438 \u0430\u0441\u043f\u0435\u043a\u0442\u0438 \u043d\u0430 \u0434\u043b\u0430\u0431\u043e\u043a\u043e\u0442\u043e \u0443\u0447\u0435\u045a\u0435\n
                      \n
                    1. \u0420\u0430\u043c\u043a\u0438<\/li>\n
                    2. \u041e\u0431\u0435\u043b\u0435\u0436\u0443\u0432\u0430\u045a\u0435 \u0438 \u0437\u0433\u043e\u043b\u0435\u043c\u0443\u0432\u0430\u045a\u0435<\/li>\n
                    3. \u0421\u0442\u0430\u043d\u0434\u0430\u0440\u0434\u043d\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 \u0438 \u043f\u0440\u0435\u043d\u043e\u0441\u043d\u043e \u0443\u0447\u0435\u045a\u0435 (Standard Models and Transfer Learning)<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div><\/div><\/div>

                      <\/i><\/i><\/span>\u041e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043d\u0430 \u043f\u0440\u0438\u0440\u043e\u0434\u0435\u043d \u0458\u0430\u0437\u0438\u043a (Natural Language Processing - NLP)<\/span><\/a><\/h4><\/div>
                      \n
                        \n
                      1. \u041f\u0440\u0438\u043c\u0435\u0440\u0438 \u0437\u0430 \u0437\u0430\u0434\u0430\u0447\u0438 \u043f\u043e\u0432\u0440\u0437\u0430\u043d\u0438 \u0441\u043e \u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043d\u0430 \u043f\u0440\u0438\u0440\u043e\u0434\u0435\u043d \u0458\u0430\u0437\u0438\u043a (Natural Language Processing – NLP)<\/li>\n
                      2. \u041f\u0440\u0435\u0434\u043e\u0431\u0440\u0430\u0431\u043e\u0442\u043a\u0430 \u043d\u0430 \u0442\u0435\u043a\u0441\u0442\n<\/li>\n
                      3. \u0412\u0433\u0440\u0430\u0434\u0443\u0432\u0430\u045a\u0430<\/li>\n
                      4. \u0422\u0440\u0430\u043d\u0441\u0444\u043e\u0440\u043c\u0435\u0440\u0438<\/li>\n
                      5. \u0413\u043e\u043b\u0435\u043c\u0438 \u043c\u043e\u0434\u0435\u043b\u0438 \u043d\u0430 \u0458\u0430\u0437\u0438\u0446\u0438<\/li>\n<\/ol>\n<\/div><\/div><\/div>

                        <\/i><\/i><\/span>\u0410\u043b\u0430\u0442\u043a\u0438 \u0437\u0430 \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430 \u0418\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430 \u0438 \u043c\u0430\u0448\u0438\u043d\u0441\u043a\u043e \u0443\u0447\u0435\u045a\u0435 <\/span><\/a><\/h4><\/div>
                        \n
                          \n
                        1. \u041f\u0440\u043e\u0433\u0440\u0430\u043c\u0441\u043a\u0438 \u0441\u0440\u0435\u0434\u0438\u043d\u0438 \u0437\u0430 \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430 \u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430 \/ \u043c\u0430\u0448\u0438\u043d\u0441\u043a\u043e \u0443\u0447\u0435\u045a\u0435\n
                            \n
                          1. Jupyter \u0431\u0435\u043b\u0435\u0436\u043d\u0438\u043a + Python, Anaconda<\/li>\n
                          2. \u0420\u0430\u043c\u043a\u0438: Scikit-Learn, Tensorflow, PyTorch, Keras \u0438 \u0434\u0440.<\/li>\n<\/ol>\n<\/li>\n
                          3. \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430 \u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430 \/ \u043c\u0430\u0448\u0438\u043d\u0441\u043a\u043e \u0443\u0447\u0435\u045a\u0435 \u0431\u0435\u0437 \u043a\u043e\u0434\u0438\u0440\u0430\u045a\u0435\n
                              \n
                            1. \u0410\u043d\u0430\u043b\u0438\u0442\u0438\u0447\u043a\u0430 \u043f\u043b\u0430\u0442\u0444\u043e\u0440\u043c\u0430 KNIME<\/li>\n
                            2. \u0414\u0440\u0443\u0433\u0438<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n<\/div><\/div><\/div><\/div><\/div>
                              <\/div><\/div><\/div>
                              <\/span><\/div><\/div><\/div><\/div><\/div>
                              <\/a><\/div><\/div>

                              \u0412\u043e\u0432\u0435\u0434 \u0432\u043e \u0412\u0435\u0448\u0442\u0430\u0447\u043a\u0430 \u0418\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430<\/a><\/h4>\n<\/div><\/div><\/div><\/div><\/div><\/div>
                              <\/div><\/div>

                              \u041f\u0440\u0438\u043c\u0435\u043d\u0435\u0442\u0430 \u043c\u0435\u0442\u043e\u0434\u043e\u043b\u043e\u0433\u0438\u0458\u0430 \u043d\u0430 \u0432\u0435\u0448\u0442\u0430\u0447\u043a\u0430 \u0438\u043d\u0442\u0435\u043b\u0438\u0433\u0435\u043d\u0446\u0438\u0458\u0430<\/a><\/h4>\n<\/div><\/div><\/div>
                              <\/a><\/div><\/div><\/div><\/div><\/div>
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