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এই পৃষ্ঠাটি Cloud Translation API অনুবাদ করেছে।

আপনার পথ মাস্টার

মেশিন লার্নিংয়ে বিশেষজ্ঞ হওয়ার জন্য, আপনাকে প্রথমে চারটি শেখার ক্ষেত্রে একটি শক্তিশালী ভিত্তি প্রয়োজন: কোডিং, গণিত, এমএল তত্ত্ব এবং কীভাবে শুরু থেকে শেষ পর্যন্ত আপনার নিজস্ব এমএল প্রকল্প তৈরি করবেন।

এই চারটি দক্ষতা উন্নত করতে TensorFlow-এর কিউরেটেড পাঠ্যক্রম দিয়ে শুরু করুন, অথবা নীচে আমাদের রিসোর্স লাইব্রেরি অন্বেষণ করে আপনার নিজের শেখার পথ বেছে নিন।

মেশিন লার্নিং শিক্ষার চারটি ক্ষেত্র

আপনার শিক্ষাগত পথ শুরু করার সময়, প্রথমে কীভাবে ML শিখতে হয় তা বোঝা গুরুত্বপূর্ণ। আমরা শেখার প্রক্রিয়াটিকে জ্ঞানের চারটি ক্ষেত্রে বিভক্ত করেছি, প্রতিটি ক্ষেত্র এমএল ধাঁধার একটি মৌলিক অংশ প্রদান করে। আপনার পথে আপনাকে সাহায্য করার জন্য, আমরা এমন বই, ভিডিও এবং অনলাইন কোর্স চিহ্নিত করেছি যা আপনার ক্ষমতাকে উন্নত করবে এবং আপনাকে আপনার প্রকল্পের জন্য ML ব্যবহার করার জন্য প্রস্তুত করবে। আপনার জ্ঞান বাড়াতে ডিজাইন করা আমাদের নির্দেশিত পাঠ্যক্রম দিয়ে শুরু করুন, অথবা আমাদের রিসোর্স লাইব্রেরি অন্বেষণ করে আপনার নিজস্ব পথ বেছে নিন।

কোডিং দক্ষতা: ML মডেল তৈরিতে ML ধারণাগুলি জানার চেয়ে আরও অনেক কিছু জড়িত—এটি আপনার মডেল পরীক্ষা এবং অপ্টিমাইজ করার জন্য প্রয়োজনীয় ডেটা পরিচালনা, প্যারামিটার টিউনিং এবং পার্সিং ফলাফলগুলি করার জন্য কোডিং প্রয়োজন৷
গণিত এবং পরিসংখ্যান: ML হল একটি গণিতের ভারী শৃঙ্খলা, তাই আপনি যদি ML মডেলগুলিকে সংশোধন করার বা স্ক্র্যাচ থেকে নতুনগুলি তৈরি করার পরিকল্পনা করেন, তাহলে অন্তর্নিহিত গণিত ধারণাগুলির সাথে পরিচিতি প্রক্রিয়াটির জন্য অত্যন্ত গুরুত্বপূর্ণ৷
ML তত্ত্ব: ML তত্ত্বের মূল বিষয়গুলি জানা আপনাকে একটি ভিত্তি তৈরি করবে এবং কিছু ভুল হলে সমস্যা সমাধানে সহায়তা করবে।
আপনার নিজের প্রকল্পগুলি তৈরি করুন: ML-এর সাথে অভিজ্ঞতা অর্জন করা আপনার জ্ঞানকে পরীক্ষা করার সর্বোত্তম উপায়, তাই কিছু অনুশীলন করার জন্য একটি সাধারণ কোল্যাব বা টিউটোরিয়ালের সাথে শুরুতে ডুব দিতে ভয় পাবেন না।

নতুনদের জন্য

TensorFlow এর সাথে মেশিন লার্নিং এর বেসিক

বই এবং অনলাইন কোর্সের এই সংগ্রহের মাধ্যমে ML-এর মূল বিষয়গুলি জানুন৷ আপনাকে ML-এর সাথে পরিচয় করিয়ে দেওয়া হবে এবং TensorFlow 2.0 ব্যবহার করে গভীর শিক্ষার মাধ্যমে গাইড করা হবে। তারপর আপনি শিক্ষানবিস টিউটোরিয়াল দিয়ে যা শিখবেন তা অনুশীলন করার সুযোগ পাবেন।

মধ্যবর্তী স্তর এবং বিশেষজ্ঞদের জন্য

TensorFlow এর সাথে তাত্ত্বিক এবং উন্নত মেশিন লার্নিং

একবার আপনি মেশিন লার্নিং এর মূল বিষয়গুলি বুঝতে পারলে, নিউরাল নেটওয়ার্কগুলির তাত্ত্বিক বোঝার মধ্যে ডুব দিয়ে, গভীর শিক্ষা, এবং অন্তর্নিহিত গণিত ধারণাগুলি সম্পর্কে আপনার জ্ঞান উন্নত করার মাধ্যমে আপনার ক্ষমতাগুলিকে পরবর্তী স্তরে নিয়ে যান।

নতুনদের জন্য

জাভাস্ক্রিপ্ট বিকাশের জন্য টেনসরফ্লো

জাভাস্ক্রিপ্টে মেশিন লার্নিং মডেল তৈরি করার প্রাথমিক বিষয়গুলি এবং ব্রাউজারে সরাসরি কীভাবে স্থাপন করা যায় তা জানুন। আপনি ডিপ লার্নিং এবং হ্যান্ডস-অন ব্যায়ামের মাধ্যমে TensorFlow.js-এর সাথে কীভাবে শুরু করবেন সে সম্পর্কে একটি উচ্চ-স্তরের ভূমিকা পাবেন।

গণিত ধারণা

TF সম্পদ

মানব-কেন্দ্রিক AI

আপনার পথ মাস্টার

মেশিন লার্নিং শিক্ষার চারটি ক্ষেত্র

টেনসরফ্লো পাঠ্যক্রম

শিক্ষাগত সম্পদ

বই

অনলাইন কোর্স

গণিত ধারণা

টেনসরফ্লো সংস্থান

জাভাস্ক্রিপ্টের জন্য

মোবাইল এবং এজ এর জন্য

উৎপাদনের জন্য

মানব-কেন্দ্রিক AI

TensorFlow এর বিশ্ব সম্প্রদায়ে যোগ দিন

আপনার পথ মাস্টার

মেশিন লার্নিং শিক্ষার চারটি ক্ষেত্র

টেনসরফ্লো পাঠ্যক্রম

শিক্ষাগত সম্পদ

বই

অনলাইন কোর্স

গণিত ধারণা

টেনসরফ্লো সংস্থান

জাভাস্ক্রিপ্টের জন্য

মোবাইল এবং এজ এর জন্য

উৎপাদনের জন্য

মানব-কেন্দ্রিক AI

TensorFlow এর বিশ্ব সম্প্রদায়ে যোগ দিন