{"id":39704,"date":"2023-07-22T16:49:45","date_gmt":"2023-07-22T12:19:45","guid":{"rendered":"https:\/\/quera.org\/blog\/?p=39704"},"modified":"2023-11-05T16:06:39","modified_gmt":"2023-11-05T12:36:39","slug":"must-have-machine-learning-books","status":"publish","type":"post","link":"https:\/\/quera.org\/blog\/must-have-machine-learning-books\/","title":{"rendered":"\u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 – \u0645\u0639\u0631\u0641\u06cc \u0628\u0647\u062a\u0631\u06cc\u0646\u200c\u0647\u0627 \u062f\u0631 \u0633\u0627\u0644 \u06f2\u06f0\u06f2\u06f3"},"content":{"rendered":"\n

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\u0627\u06cc\u0646 \u0645\u062b\u0627\u0644 \u062f\u0631 \u062a\u0645\u0627\u0645\u06cc \u0645\u0648\u0636\u0648\u0639\u200c\u0647\u0627 \u0642\u0627\u0628\u0644 \u062a\u0639\u0645\u06cc\u0645 \u0627\u0633\u062a. \u062f\u06cc\u062f\u0646 \u0648\u06cc\u062f\u06cc\u0648\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0645\u0627\u0634\u06cc\u0646 \u0644\u0631\u0646\u06cc\u0646\u06af\u060c \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u0628\u0647 \u0634\u0645\u0627 \u062f\u06cc\u062f \u062e\u0648\u0628\u06cc \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0645\u0648\u0631\u062f\u0646\u0638\u0631\u062a\u0627\u0646 \u0628\u062f\u0647\u062f\u061b \u0627\u0645\u0627 \u0628\u0647 \u0637\u0648\u0631 \u0642\u0637\u0639 \u062f\u0627\u0646\u0634\u06cc \u06a9\u0647 \u0627\u0632 \u062e\u0648\u0627\u0646\u062f\u0646 \u06cc\u06a9 \u06a9\u062a\u0627\u0628 \u062e\u0648\u0628 \u062d\u0627\u0635\u0644 \u0645\u06cc\u200c\u0634\u0648\u062f \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u0648 \u0641\u0631\u0627\u06af\u06cc\u0631\u062a\u0631 \u0627\u0633\u062a.<\/p>\n\n\n\n

\u0645\u0639\u0631\u0641\u06cc \u0686\u0646\u062f \u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong><\/h2>\n\n\n\n
<\/div>\n\n\n\n

Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython<\/h3>\n\n\n\n
<\/div>\n\n\n
\n
\"Python<\/figure>\n<\/div>\n\n\n

\u0627\u0648\u0644\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong> \u062f\u0631 \u0627\u06cc\u0646 \u0641\u0647\u0631\u0633\u062a \u06a9\u062a\u0627\u0628\u06cc \u0646\u06cc\u0633\u062a \u06a9\u0647 \u0639\u0645\u06cc\u0642\u0627\u064b \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0628\u067e\u0631\u062f\u0627\u0632\u062f. \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u060c \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u0627\u0635\u0644\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u0628\u0631\u0627\u06cc \u0639\u0644\u0645 \u062f\u0627\u062f\u0647 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0645\u0627\u0646\u0646\u062f NumPy \u060cPandas \u0648 Matplotlib \u0631\u0627 \u0628\u0631\u0631\u0633\u06cc \u0645\u06cc\u200c\u06a9\u0646\u062f. \u0628\u0627 \u0645\u0637\u0627\u0644\u0639\u0647\u200c\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0644\u0627\u0632\u0645 \u0628\u0631\u0627\u06cc \u062f\u0633\u062a\u06a9\u0627\u0631\u06cc\u060c \u067e\u0627\u06a9\u0633\u0627\u0632\u06cc \u0648 \u0645\u0635\u0648\u0631\u0633\u0627\u0632\u06cc \u062f\u0627\u062f\u0647\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u062e\u0648\u0627\u0647\u06cc\u062f \u0622\u0648\u0631\u062f. \u062f\u0631 \u067e\u0627\u06cc\u0627\u0646\u060c \u0634\u0645\u0627 \u062d\u062a\u06cc \u0628\u0627 \u0633\u0631\u06cc\u200c\u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc (time series) \u06a9\u0647 \u0627\u063a\u0644\u0628 \u0628\u0647\u200c\u0633\u062e\u062a\u06cc \u0645\u06cc\u200c\u062a\u0648\u0627\u0646 \u0645\u0646\u0628\u0639 \u062e\u0648\u0628\u06cc \u0628\u0631\u0627\u06cc \u0622\u0646 \u067e\u06cc\u062f\u0627 \u06a9\u0631\u062f \u0646\u06cc\u0632 \u0622\u0634\u0646\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u0634\u062f.<\/p>\n\n\n\n

\u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f:<\/strong> \u067e\u0627\u06cc\u062a\u0648\u0646 \u0686\u06cc\u0633\u062a\u061f \u0622\u0634\u0646\u0627\u06cc\u06cc \u0628\u0627 \u0632\u0628\u0627\u0646 \u0628\u0631\u0646\u0627\u0645\u0647\u200c\u0646\u0648\u06cc\u0633\u06cc Python<\/strong><\/a><\/p>\n\n\n\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0634\u0645\u0627 \u0631\u0627 \u0628\u0647 \u06cc\u06a9 \u0645\u0647\u0646\u062f\u0633 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062a\u0628\u062f\u06cc\u0644 \u0646\u0645\u06cc\u200c\u06a9\u0646\u062f\u060c \u0627\u0645\u0627 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0627\u0633\u0627\u0633\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u06a9\u0647 \u0628\u0627 \u0645\u0637\u0627\u0644\u0639\u0647\u200c\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0647 \u062f\u0633\u062a \u0645\u06cc\u200c\u0622\u0648\u0631\u06cc\u062f \u0628\u0633\u06cc\u0627\u0631 \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u062e\u0648\u0627\u0647\u062f \u0628\u0648\u062f. \u062f\u0631 \u06a9\u062a\u0627\u0628\u200c\u0647\u0627\u06cc \u062f\u06cc\u06af\u0631\u0650 \u0627\u06cc\u0646 \u0644\u06cc\u0633\u062a \u0628\u0647\u200c\u062a\u0641\u0635\u06cc\u0644 \u062f\u0631\u0645\u0648\u0631\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0635\u062d\u0628\u062a \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0641\u0635\u0644\u200c\u0647\u0627\u06cc \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0631 \u0622\u0646\u200c\u0647\u0627 \u06a9\u0627\u0641\u06cc \u0646\u06cc\u0633\u062a. \u0628\u0647 \u0647\u0645\u06cc\u0646 \u062f\u0644\u06cc\u0644 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0631\u0627 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u0627\u0648\u0644\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u06cc\u0645 \u062a\u0627 \u0628\u062a\u0648\u0627\u0646\u06cc\u062f \u0642\u0628\u0644 \u0627\u0632 \u0648\u0631\u0648\u062f \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0627\u0646\u0634 \u062e\u0648\u062f \u0631\u0627 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647\u200c\u06cc \u067e\u0627\u06cc\u062a\u0648\u0646 \u062a\u0642\u0648\u06cc\u062a \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n\n

\u0644\u06cc\u0646\u06a9 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0637\u0627\u0642\u0686\u0647:<\/strong> Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython<\/a><\/p>\n\n\n\n

Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow<\/h3>\n\n\n\n
<\/div>\n\n\n
\n
\"Hands-On<\/figure>\n<\/div>\n\n\n

\u062f\u0631 \u062f\u0648\u0645\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong> \u062f\u0631 \u0627\u06cc\u0646 \u0644\u06cc\u0633\u062a\u060c G\u00e9ron \u0628\u0647\u200c\u0635\u0648\u0631\u062a \u0645\u062e\u062a\u0635\u0631 \u0648 \u062f\u0642\u06cc\u0642 \u0637\u06cc\u0641 \u06af\u0633\u062a\u0631\u062f\u0647\u200c\u0627\u06cc \u0627\u0632 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0627\u0632 \u062c\u0645\u0644\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0646\u0638\u0627\u0631\u062a\u200c\u0634\u062f\u0647 (Supervised Learning)\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0628\u062f\u0648\u0646 \u0646\u0638\u0627\u0631\u062a (Unsupervised Learning)\u060c \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 (Deep Learning) \u0648 \u062d\u062a\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0642\u0648\u06cc\u062a\u06cc (Reinforcement Learning) \u0631\u0627 \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a.<\/p>\n\n\n\n

\u0628\u06cc\u0634\u062a\u0631 \u0628\u062e\u0648\u0627\u0646\u06cc\u062f:<\/strong> \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0686\u06cc\u0633\u062a\u061f<\/strong><\/a><\/p>\n\n\n\n

\u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0633\u06cc\u0627\u0631 \u0648\u0627\u0636\u062d \u0648 \u0647\u0645\u0631\u0627\u0647 \u0628\u0627 \u0645\u062b\u0627\u0644\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0641\u0631\u0627\u0648\u0627\u0646\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0628\u0647 \u0634\u0645\u0627 \u0627\u06cc\u0646 \u0627\u0645\u06a9\u0627\u0646 \u0631\u0627 \u0645\u06cc\u200c\u062f\u0647\u062f \u062a\u0627 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062e\u0648\u062f \u0631\u0627 \u0628\u0647\u200c\u0635\u0648\u0631\u062a \u0639\u0645\u0644\u06cc \u062a\u0645\u0631\u06cc\u0646 \u06a9\u0631\u062f\u0647 \u0648 \u062a\u0648\u0633\u0639\u0647 \u062f\u0647\u06cc\u062f. \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0627 \u06cc\u06a9 \u067e\u0631\u0648\u0698\u0647\u200c\u06cc \u0633\u0631\u06af\u0631\u0645\u200c\u06a9\u0646\u0646\u062f\u0647\u200c\u06cc \u0642\u06cc\u0645\u062a\u200c\u06af\u0630\u0627\u0631\u06cc \u062e\u0627\u0646\u0647 \u062f\u0631 \u06a9\u0627\u0644\u06cc\u0641\u0631\u0646\u06cc\u0627 \u0622\u063a\u0627\u0632 \u0645\u06cc\u200c\u0634\u0648\u062f \u0648 \u062e\u0648\u0627\u0646\u0646\u062f\u0647 \u0631\u0627 \u0628\u0644\u0627\u0641\u0627\u0635\u0644\u0647 \u0648 \u0628\u062f\u0648\u0646 \u062f\u0631\u06af\u06cc\u0631 \u06a9\u0631\u062f\u0646 \u062f\u0631 \u0646\u0638\u0631\u06cc\u0647\u200c\u0647\u0627 \u0648 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u0645\u062c\u0630\u0648\u0628 \u062e\u0648\u062f \u0645\u06cc\u200c\u06a9\u0646\u062f. \u062f\u0631 \u0627\u0646\u062a\u0647\u0627 \u0646\u06cc\u0632 \u0627\u0646\u0628\u0648\u0647\u06cc \u0627\u0632 \u062f\u0627\u0646\u0634 \u062a\u0626\u0648\u0631\u06cc \u0627\u0632 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0631\u0627 \u0628\u0647 \u062e\u0648\u0627\u0646\u0646\u062f\u0647 \u0645\u0646\u062a\u0642\u0644 \u0645\u06cc\u200c\u06a9\u0646\u062f.<\/p>\n\n\n\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0631\u0627 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u062f\u0648\u0645\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0627\u06cc\u0646 \u0641\u0647\u0631\u0633\u062a \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645\u061b \u0632\u06cc\u0631\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0622\u0646 \u0646\u06cc\u0627\u0632 \u0628\u0647 \u062f\u0627\u0646\u0634 \u067e\u0627\u06cc\u062a\u0648\u0646 \u062f\u0627\u0631\u062f. \u062f\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0627 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0627\u0632 \u0645\u062d\u0628\u0648\u0628\u200c\u062a\u0631\u06cc\u0646 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u067e\u0627\u06cc\u062a\u0648\u0646 (Scikit-Learn \u060cTensorflow \u0648 Keras)\u060c \u062e\u0648\u0627\u0646\u0646\u062f\u0647 \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u0627\u0631\u0632\u0634\u0645\u0646\u062f \u0648 \u0645\u0648\u0631\u062f \u062a\u0642\u0627\u0636\u0627 \u0631\u0627 \u0628\u0647 \u062f\u0633\u062a \u062e\u0648\u0627\u0647\u062f \u0622\u0648\u0631\u062f. \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc\u200c\u0647\u0627\u06cc \u0632\u06cc\u0627\u062f\u06cc \u062f\u0631\u0645\u0648\u0631\u062f \u0646\u062d\u0648\u0647\u200c\u06cc \u0628\u0631\u062e\u0648\u0631\u062f \u0648 \u062a\u0646\u0638\u06cc\u0645 \u062f\u0642\u06cc\u0642 \u0645\u0633\u0627\u0626\u0644 \u0648\u0627\u0642\u0639\u06cc \u0627\u0631\u0627\u0626\u0647 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u062f\u0631 \u0646\u0647\u0627\u06cc\u062a\u060c \u0646\u0648\u06cc\u0633\u0646\u062f\u0647 \u0628\u0647 \u0628\u06cc\u0627\u0646 \u0645\u0648\u0636\u0648\u0639\u0627\u062a \u0648 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647\u200c\u062a\u0631\u06cc \u06a9\u0647 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u062e\u0648\u0627\u0646\u0646\u062f\u0647 \u0628\u0647 \u0622\u0646\u200c\u0647\u0627 \u0639\u0644\u0627\u0642\u0647\u200c\u0645\u0646\u062f \u0628\u0627\u0634\u062f \u067e\u0631\u062f\u0627\u062e\u062a\u0647 \u0627\u0633\u062a.<\/p>\n\n\n\n

\u0644\u06cc\u0646\u06a9 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u0637\u0627\u0642\u0686\u0647: <\/strong>Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow<\/strong><\/a><\/p>\n\n\n\n

Machine Learning Yearning<\/h3>\n\n\n\n
<\/div>\n\n\n
\n
\"Machine<\/figure>\n<\/div>\n\n\n

\u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong> \u062f\u06cc\u06af\u0631 \u062f\u0631 \u0627\u06cc\u0646 \u0644\u06cc\u0633\u062a Machine Learning Yearning \u0646\u0648\u0634\u062a\u0647\u200c\u06cc Andrew Ng \u0627\u0633\u062a. Andrew Ng \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647\u200c\u06cc \u0622\u0645\u0648\u0632\u0634 \u0622\u0646\u0644\u0627\u06cc\u0646 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0641\u0631\u062f\u06cc \u067e\u06cc\u0634\u0631\u0648 \u0634\u0646\u0627\u062e\u062a\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f. \u0627\u0648 \u0627\u0633\u062a\u0627\u062f \u062f\u0627\u0646\u0634\u06af\u0627\u0647 \u0627\u0633\u062a\u0646\u0641\u0648\u0631\u062f \u0648 \u0647\u0645\u200c\u0628\u0646\u06cc\u0627\u0646\u200c\u06af\u0630\u0627\u0631 Coursera \u060cdeeplearning.ai \u0648 Google Head \u0627\u0633\u062a. \u0628\u0646\u0627\u0628\u0631\u0627\u06cc\u0646 \u0628\u062f\u06cc\u0647\u06cc \u0627\u0633\u062a \u06a9\u0647 \u0645\u062d\u062a\u0648\u0627\u06cc\u06cc \u06a9\u0647 \u0627\u0632 \u0627\u0648 \u062f\u0631\u06cc\u0627\u0641\u062a \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f \u0627\u0631\u0632\u0634 \u0648\u0642\u062a\u200c\u06af\u0630\u0627\u0634\u062a\u0646 \u0631\u0627 \u062f\u0627\u0631\u062f. Andrew Ng \u062f\u0631 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u060c \u062f\u0627\u0646\u0634 \u062e\u0648\u062f \u062f\u0631\u0645\u0648\u0631\u062f \u0633\u0627\u062e\u062a\u0627\u0631 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u0628\u0647\u200c\u062e\u0648\u0628\u06cc \u0645\u0646\u062a\u0642\u0644 \u06a9\u0631\u062f\u0647 \u0627\u0633\u062a. \u0627\u0648 \u0647\u0645\u0686\u0646\u06cc\u0646 \u0628\u0647\u062a\u0631\u06cc\u0646 \u0631\u0648\u0634\u200c\u0647\u0627 \u0648 \u062a\u0630\u06a9\u0631\u0627\u062a \u0645\u0631\u0628\u0648\u0637 \u0628\u0647 \u0645\u0634\u06a9\u0644\u0627\u062a \u0627\u062d\u062a\u0645\u0627\u0644\u06cc \u0631\u0627 \u062f\u0631 \u0627\u062e\u062a\u06cc\u0627\u0631 \u062e\u0648\u0627\u0646\u0646\u062f\u0647 \u0642\u0631\u0627\u0631 \u062f\u0627\u062f\u0647 \u0627\u0633\u062a. \u0627\u06af\u0631 \u0642\u0628\u0644\u0627\u064b \u062a\u062c\u0631\u0628\u0647\u200c\u06cc \u0627\u0646\u062c\u0627\u0645 \u067e\u0631\u0648\u0698\u0647\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u0631\u0627 \u062f\u0627\u0634\u062a\u0647 \u0628\u0627\u0634\u06cc\u062f\u060c \u0645\u0637\u0627\u0644\u0639\u0647\u200c\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0631\u0627\u06cc \u0634\u0645\u0627 \u0645\u0641\u06cc\u062f\u062a\u0631 \u0627\u0633\u062a. \u0628\u0627 \u0627\u06cc\u0646 \u0648\u062c\u0648\u062f \u0646\u06cc\u0645\u0647\u200c\u06cc \u0627\u0648\u0644 \u0622\u0646 \u0628\u0631\u0627\u06cc \u0645\u0628\u062a\u062f\u06cc\u0627\u0646 \u0645\u06cc\u200c\u062a\u0648\u0627\u0646\u062f \u0628\u0647 \u0647\u0645\u0627\u0646 \u0627\u0646\u062f\u0627\u0632\u0647 \u0645\u0641\u06cc\u062f \u0628\u0627\u0634\u062f. \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong>\u0650 \u06a9\u0648\u062a\u0627\u0647\u060c \u06cc\u06a9 \u0645\u0646\u0628\u0639 \u0636\u0631\u0648\u0631\u06cc \u0628\u0631\u0627\u06cc \u0645\u0637\u0627\u0644\u0639\u0647 \u0648 \u0633\u0631\u0634\u0627\u0631 \u0627\u0632 \u062f\u0627\u0646\u0634\u060c \u062a\u062c\u0631\u0628\u0647 \u0648 \u0631\u0627\u0647\u0646\u0645\u0627\u06cc\u06cc \u06cc\u06a9 \u0641\u0631\u062f \u0628\u0627\u062a\u062c\u0631\u0628\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0627\u0633\u062a.<\/p>\n\n\n\n

Deep Learning with Python<\/h3>\n\n\n\n
<\/div>\n\n\n
\n
\"Deep<\/figure>\n<\/div>\n\n\n

\u0646\u0648\u06cc\u0633\u0646\u062f\u0647\u200c\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u060c Fran\u00e7ois Chollet\u060c \u062e\u0627\u0644\u0642 Keras \u0627\u0633\u062a\u061b \u06cc\u06a9 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u06a9\u0647 \u062a\u0648\u0633\u0637 Google \u062f\u0631 \u06a9\u0646\u0627\u0631 TensorFlow \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0645\u06cc\u200c\u0634\u0648\u062f. \u06cc\u06a9\u06cc \u0627\u0632 \u0646\u06a9\u0627\u062a \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0627\u06cc\u0646 \u0627\u0633\u062a \u06a9\u0647 Chollet \u0628\u062f\u0648\u0646 \u062f\u0631\u06af\u06cc\u0631 \u06a9\u0631\u062f\u0646 \u062e\u0648\u0627\u0646\u0646\u062f\u0647 \u062f\u0631 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u067e\u06cc\u0686\u06cc\u062f\u0647\u060c \u0645\u0641\u0627\u0647\u06cc\u0645 \u067e\u06cc\u0686\u06cc\u062f\u0647 \u0631\u0627 \u0628\u0647 \u0634\u06cc\u0648\u0647\u200c\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u0634\u0647\u0648\u062f\u06cc \u062a\u0648\u0636\u06cc\u062d \u0645\u06cc\u200c\u062f\u0647\u062f. \u0647\u0631 \u0641\u0635\u0644 \u0627\u0632 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u0645\u0644\u0648 \u0627\u0632 \u0645\u062b\u0627\u0644\u200c\u0647\u0627\u06cc \u0639\u0645\u0644\u06cc \u0641\u0631\u0627\u0648\u0627\u0646 \u0628\u0627 \u062a\u0648\u0636\u06cc\u062d\u0627\u062a \u062e\u0637\u200c\u0628\u0647\u200c\u062e\u0637 \u0648 \u062f\u0642\u06cc\u0642 \u06a9\u062f\u0647\u0627 \u0627\u0633\u062a. \u0628\u0627 \u0645\u0637\u0627\u0644\u0639\u0647\u200c\u06cc \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u060c \u0645\u0647\u0627\u0631\u062a \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062e\u0648\u062f \u0631\u0627 \u0647\u0645 \u062f\u0631 \u062f\u0627\u0646\u0634 \u062a\u0626\u0648\u0631\u06cc \u0648 \u0647\u0645 \u062f\u0631 \u0632\u0645\u06cc\u0646\u0647\u200c\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0639\u0645\u0644\u06cc \u0627\u0631\u062a\u0642\u0627 \u062e\u0648\u0627\u0647\u06cc\u062f \u062f\u0627\u062f.<\/p>\n\n\n\n

\u0627\u06af\u0631 \u062f\u0627\u0646\u0634 \u062e\u0648\u0628\u06cc \u0627\u0632 \u067e\u0627\u06cc\u062a\u0648\u0646 \u0648 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062f\u0627\u0631\u06cc\u062f \u0648 \u062f\u0648\u0633\u062a \u062f\u0627\u0631\u06cc\u062f \u0628\u06cc\u0634\u062a\u0631 \u062f\u0631\u0645\u0648\u0631\u062f \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0628\u062f\u0627\u0646\u06cc\u062f\u060c \u0627\u06af\u0631 \u0645\u0641\u0627\u0647\u06cc\u0645 \u062a\u0648\u0636\u06cc\u062d\u200c\u062f\u0627\u062f\u0647\u200c\u0634\u062f\u0647 \u062f\u0631 \u06a9\u062f \u067e\u0627\u06cc\u062a\u0648\u0646 \u0631\u0627 \u0628\u0647 \u0645\u0639\u0627\u062f\u0644\u0627\u062a \u0631\u06cc\u0627\u0636\u06cc \u062a\u0631\u062c\u06cc\u062d \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f \u0648 \u0627\u06af\u0631 \u0645\u06cc\u200c\u062e\u0648\u0627\u0647\u06cc\u062f \u0628\u0647 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0648 \u06a9\u062a\u0627\u0628\u062e\u0627\u0646\u0647\u200c\u06cc Keras \u0645\u0633\u0644\u0637 \u0634\u0648\u06cc\u062f\u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u0646\u0627\u0633\u0628 \u0634\u0645\u0627 \u0627\u0633\u062a.<\/p>\n\n\n\n

\u0644\u06cc\u0646\u06a9 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u062a\u0631\u0628:<\/strong> Deep Learning with Python<\/strong><\/a><\/p>\n\n\n\n

Deep Learning<\/h3>\n\n\n\n
<\/div>\n\n\n
\n
\"\u06a9\u062a\u0627\u0628<\/figure>\n<\/div>\n\n\n

\u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628\u0650 \u062c\u0627\u0645\u0639 \u06a9\u0647 \u062a\u0648\u0633\u0637 \u0633\u0647 \u0645\u062a\u062e\u0635\u0635 \u0646\u0648\u0634\u062a\u0647 \u0634\u062f\u0647 \u0627\u0633\u062a\u060c \u062f\u0631\u06a9 \u0634\u0645\u0627 \u0627\u0632 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642 \u0631\u0627 \u0627\u0641\u0632\u0627\u06cc\u0634 \u0645\u06cc\u200c\u062f\u0647\u062f. \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0627 \u067e\u0648\u0634\u0634 \u062f\u0642\u06cc\u0642 \u0648 \u06a9\u0627\u0645\u0644 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0631\u06cc\u0627\u0636\u06cc \u0648 \u062a\u06a9\u0646\u06cc\u06a9\u200c\u0647\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0639\u0645\u06cc\u0642\u060c \u06cc\u06a9 \u0645\u0646\u0628\u0639 \u0639\u0627\u0644\u06cc \u0628\u0631\u0627\u06cc \u062f\u0627\u0646\u0634\u062c\u0648\u06cc\u0627\u0646\u060c \u0645\u062d\u0642\u0642\u0627\u0646 \u0648 \u0645\u0647\u0646\u062f\u0633\u0627\u0646 \u0646\u0631\u0645\u200c\u0627\u0641\u0632\u0627\u0631 \u0628\u0647 \u0634\u0645\u0627\u0631 \u0645\u06cc\u200c\u0631\u0648\u062f.<\/p>\n\n\n\n

\u0628\u0627 \u0648\u062c\u0648\u062f \u0627\u06cc\u0646\u06a9\u0647 \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0628\u0633\u06cc\u0627\u0631 \u062c\u0627\u0645\u0639 \u0627\u0633\u062a\u060c \u0627\u0645\u0627 \u0622\u0646 \u0631\u0627 \u062f\u0631 \u0627\u0646\u062a\u0647\u0627\u06cc \u0627\u06cc\u0646 \u0644\u06cc\u0633\u062a \u0645\u0639\u0631\u0641\u06cc \u06a9\u0631\u062f\u0647\u200c\u0627\u06cc\u0645 \u0632\u06cc\u0631\u0627 \u0627\u062d\u062a\u0645\u0627\u0644\u0627\u064b \u062a\u0645\u0627\u0645 \u0627\u06cc\u0646 \u0627\u0637\u0644\u0627\u0639\u0627\u062a \u0628\u0631\u0627\u06cc \u06cc\u06a9 \u0645\u0628\u062a\u062f\u06cc \u0628\u0633\u06cc\u0627\u0631 \u062f\u0634\u0648\u0627\u0631 \u0627\u0633\u062a. \u0647\u0645\u0627\u0646 \u0637\u0648\u0631 \u06a9\u0647 \u06af\u0641\u062a\u06cc\u0645 \u062f\u0631 \u0627\u06cc\u0646 \u0645\u0642\u0627\u0644\u0647 \u06a9\u062a\u0627\u0628\u200c\u0647\u0627 \u0628\u0627 \u0631\u0648\u06cc\u06a9\u0631\u062f \u06a9\u0644 \u0628\u0647 \u062c\u0632\u0621 \u0645\u0639\u0631\u0641\u06cc \u0634\u062f\u0647\u200c\u0627\u0646\u062f. \u0628\u0647 \u0627\u06cc\u0646 \u0635\u0648\u0631\u062a \u06a9\u0647 \u0627\u0632 \u06a9\u062f\u0646\u0648\u06cc\u0633\u06cc \u0634\u0631\u0648\u0639 \u0645\u06cc\u200c\u06a9\u0646\u06cc\u062f \u0648 \u0633\u067e\u0633 \u0639\u0645\u06cc\u0642\u200c\u062a\u0631 \u0628\u0647 \u0631\u06cc\u0627\u0636\u06cc\u0627\u062a \u0648 \u062a\u0626\u0648\u0631\u06cc\u0650 \u067e\u0634\u062a \u0627\u0644\u06af\u0648\u0631\u06cc\u062a\u0645\u200c\u0647\u0627\u06cc \u0645\u062e\u062a\u0644\u0641 \u0645\u06cc\u200c\u067e\u0631\u062f\u0627\u0632\u06cc\u062f \u062a\u0627 \u0631\u0627\u0647\u200c\u062d\u0644\u200c\u0647\u0627 \u0631\u0627 \u0628\u0647\u0628\u0648\u062f \u0628\u0628\u062e\u0634\u06cc\u062f \u0648 \u062f\u0631\u06a9 \u0628\u0647\u062a\u0631\u06cc \u0627\u0632 \u0645\u0641\u0627\u0647\u06cc\u0645 \u0628\u0647 \u062f\u0633\u062a \u0622\u0648\u0631\u06cc\u062f. \u0628\u0627 \u0627\u06cc\u0646 \u062d\u0627\u0644 \u0627\u06af\u0631 \u0634\u0645\u0627 \u0631\u0648\u06cc\u06a9\u0631\u062f \u062c\u0632\u0621 \u0628\u0647 \u06a9\u0644 \u0631\u0627 \u0628\u0631\u0627\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u062a\u0631\u062c\u06cc\u062d \u0645\u06cc\u200c\u062f\u0647\u06cc\u062f\u060c \u0627\u06cc\u0646 \u06a9\u062a\u0627\u0628 \u0645\u0645\u06a9\u0646 \u0627\u0633\u062a \u06a9\u062a\u0627\u0628 \u062e\u0648\u0628\u06cc \u0628\u0631\u0627\u06cc \u0634\u0631\u0648\u0639 \u0628\u0627\u0634\u062f.<\/p>\n\n\n\n

\u0644\u06cc\u0646\u06a9 \u06a9\u062a\u0627\u0628 \u062f\u0631 \u062f\u06cc\u062c\u06cc\u200c\u06a9\u0627\u0644\u0627:<\/strong> Deep Learning<\/strong><\/a><\/p>\n\n\n\n

\n\n\n\n

\u062c\u0645\u0639\u200c\u0628\u0646\u062f\u06cc<\/h2>\n\n\n\n

\u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 \u062d\u0648\u0632\u0647\u200c\u0627\u06cc \u0628\u0633\u06cc\u0627\u0631 \u06af\u0633\u062a\u0631\u062f\u0647 \u0648 \u0628\u0647\u200c\u0633\u0631\u0639\u062a \u062f\u0631 \u062d\u0627\u0644 \u0631\u0634\u062f \u0627\u0633\u062a. \u06cc\u0627\u062f\u0622\u0648\u0631\u06cc \u0686\u06af\u0648\u0646\u06af\u06cc \u0645\u0648\u0627\u062c\u0647\u0647 \u0628\u0627 \u0645\u0633\u0627\u0626\u0644 \u0645\u062e\u062a\u0644\u0641 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646\u060c \u0627\u0632 \u067e\u0631\u062f\u0627\u0632\u0634 \u0632\u0628\u0627\u0646 \u0637\u0628\u06cc\u0639\u06cc \u06af\u0631\u0641\u062a\u0647 \u062a\u0627 \u0628\u06cc\u0646\u0627\u06cc\u06cc \u06a9\u0627\u0645\u067e\u06cc\u0648\u062a\u0631\u06cc \u0648 \u067e\u06cc\u0634\u200c\u0628\u06cc\u0646\u06cc \u0633\u0631\u06cc\u200c\u0647\u0627\u06cc \u0632\u0645\u0627\u0646\u06cc \u0647\u0645\u06cc\u0634\u0647 \u0622\u0633\u0627\u0646 \u0646\u06cc\u0633\u062a. \u0627\u0645\u06cc\u062f\u0648\u0627\u0631\u06cc\u0645 \u0627\u06cc\u0646 \u0645\u062c\u0645\u0648\u0639\u0647 \u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646<\/strong> \u0646\u0647\u200c\u062a\u0646\u0647\u0627 \u062f\u0631 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0647\u0627\u0631\u062a\u200c\u0647\u0627\u06cc \u067e\u06cc\u0634\u0631\u0641\u062a\u0647 \u062f\u0631 \u0627\u06cc\u0646 \u062d\u0648\u0632\u0647 \u0628\u0647 \u0634\u0645\u0627 \u06a9\u0645\u06a9 \u06a9\u0646\u0646\u062f\u060c \u0628\u0644\u06a9\u0647 \u0628\u0647\u200c\u0639\u0646\u0648\u0627\u0646 \u0645\u0646\u0628\u0639\u06cc \u0628\u0631\u0627\u06cc \u0645\u0631\u0627\u062c\u0639\u0647 \u062f\u0631 \u0622\u06cc\u0646\u062f\u0647 \u0627\u0633\u062a\u0641\u0627\u062f\u0647 \u0634\u0648\u0646\u062f. \u0627\u06af\u0631 \u0634\u0645\u0627 \u0647\u0645 \u06a9\u062a\u0627\u0628 \u0645\u0641\u06cc\u062f \u062f\u06cc\u06af\u0631\u06cc \u062f\u0631 \u0627\u06cc\u0646 \u0632\u0645\u06cc\u0646\u0647 \u0633\u0631\u0627\u063a \u062f\u0627\u0631\u06cc\u062f\u060c \u0646\u0627\u0645 \u0622\u0646 \u0631\u0627 \u0628\u0631\u0627\u06cc\u0645\u0627\u0646 \u06a9\u0627\u0645\u0646\u062a \u06a9\u0646\u06cc\u062f.<\/p>\n\n\n\n

\u0645\u0646\u0628\u0639:<\/strong><\/p>\n\n\n\n

5<\/span> Must-Have Machine Learning Books in 2022<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

\u0628\u0631\u0627\u06cc \u062a\u0628\u062f\u06cc\u0644 \u0634\u062f\u0646 \u0628\u0647 \u06cc\u06a9 \u0645\u062a\u062e\u0635\u0635 \u062f\u0631 \u062d\u0648\u0632\u0647\u200c\u06cc \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc \u0645\u0627\u0634\u06cc\u0646 (Machine Learning)\u060c \u0627\u0628\u062a\u062f\u0627 \u0628\u0627\u06cc\u062f \u0633\u0639\u06cc \u06a9\u0646\u06cc\u062f \u062f\u0631 \u0633\u0647 \u0632\u0645\u06cc\u0646\u0647\u200c\u06cc \u06a9\u062f\u0646\u0648\u06cc\u0633\u06cc\u060c…<\/p>\n","protected":false},"author":6,"featured_media":39707,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46,48,80],"tags":[],"class_list":["post-39704","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-developer","category-technology","category-ai-data-analysis"],"yoast_head":"\n\u06a9\u062a\u0627\u0628 \u06cc\u0627\u062f\u06af\u06cc\u0631\u06cc 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