IfyouareaC++programmerwhohasneverusedBoostlibrariesbefore,thisbookwillgetyouup-to-speedwithusingthem.WhetheryouaredevelopingnewC++softwareormaintainingexistingcodewrittenusingBoostlibraries,thishands-onintroductionwillhelpyoudecideontherightlibraryandtechniquestosolveyourpracticalprogrammingproblems. 品牌:中图公司 上架时...
IfyouareaC++programmerwhohasneverusedBoostlibrariesbefore,thisbookwillgetyouup-to-speedwithusingthem.WhetheryouaredevelopingnewC++softwareormaintainingexistingcodewrittenusingBoostlibraries,thishands-onintroductionwillhelpyoudecideontherightlibraryandtechniquestosolveyourpracticalprogrammingproblems. ...
If you are a C++ programmer who has never used Boost libraries before, this book will get you up-to-speed with using them. Whether you are developing new C++ software or maintaining existing code written using Boost libraries, this hands-on introduction will help you decide on the right ...
Arindam Mukherjee创作的计算机网络小说《Learning Boost C++ Libraries》,已更新章,最新章节:undefined。IfyouareaC++programmerwhohasneverusedBoostlibrariesbefore,thisbookwillgetyouup-to-speedwithusingthem.Whetheryouaredevelo…
Gradient Boost Part 1: Regression Main Ideas 0:15:52 Gradient Boost Part 2: Regression Details 0:26:45 Gradient Boost Part 3: Classification 0:17:02 Gradient Boost Part 4: Classification Details 0:36:59 Support Vector Machines, Clearly Explained!!! 0:20:32 Support Vector Machines Part 2:...
Top SDKs and Libraries Parallel Programming - CUDA Toolkit Developer Tools - Nsight Tools Edge AI applications - Jetpack BlueField data processing - DOCA Accelerated Libraries - CUDA-X Libraries Conversational AI - NeMo Deep Learning Inference - TensorRT Deep Learning Training - cuDNN Dee...
py-boost 1.82.0 Free peer-reviewed portable C++ source libraries py-opencv 4.8.1 Computer vision and machine learning software library py-xgboost 2.0.3 Python bindings for the scalable, portable and distributed gradient boosting XGBoost library pyasn1 0.4.8 ASN.1 types and codecs pyasn1-modules...
Out-of-the-box: no or little change to source code required to achieve faster Python application performance. The Integrated Intel® performance libraries: Intel® Math Kernel Library (MKL) and Intel® Data Analytics Acceleration Library (Intel® DAAL), for example, can be used to a...
However, in the Springer library, the number of articles returned was much bigger than the other libraries considering that it does not separate the articles by fields, instead, all the text is analyzed. The search expression used on the libraries were: (text classification) AND (semi-...
The algorithms we tested are XGBoost47,48, a basic Neural Network implemented using the Keras library49 and the following algorithms implemented using the scikit learn library50: Random Forest51, Support Vector Machines52, Logistic Regression53, a Decision Tree54, ExtraTreesClassifier55, ADA Boost56...