Programowanie

Niezależnie czy dopiero rozpoczynacie swoją przygodę z programowaniem, czy jesteście już uznanymi na rynku profesjonalistami, to w kategorii Programowanie na pewno znajdziecie podręczniki, które pomogą Wam w przebiegu pracy, czy też w nauce podstaw programowania.

W książkach z tego działu zawarta jest wiedza zarówno związana z czysto technicznymi sprawami typu składnia języków, ale także z umiejętnościami bardziej "miękkimi" jak obsługa i wykorzystanie pełnych możliwości środowisk programistycznych, czy też projektowanie oprogramowania lub metody numeryczne czy oraz struktury danych.

siatka lista

Machine Learning & Python for Absolute Beginners. A Hands-On Guide to Python Programming and Machine Learning from Scratch

Oliver Theobald

Machine Learning Algorithms. A reference guide to popular algorithms for data science and machine learning

Giuseppe Bonaccorso

Machine Learning and Generative AI for Marketing. Take your data-driven marketing strategies to the next level using Python

Yoon Hyup Hwang, Nicholas C. Burtch

Machine Learning Automation with TPOT. Build, validate, and deploy fully automated machine learning models with Python

Dario Radečić

Machine Learning Engineering with Python. Manage the production life cycle of machine learning models using MLOps with practical examples

Andrew McMahon

Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic trading strategies with Python - Second Edition

Stefan Jansen

Machine Learning for Cybersecurity Cookbook. Over 80 recipes on how to implement machine learning algorithms for building security systems using Python

Emmanuel Tsukerman

Machine Learning for Developers. Uplift your regular applications with the power of statistics, analytics, and machine learning

Rodolfo Bonnin

Machine Learning for OpenCV 4. Intelligent algorithms for building image processing apps using OpenCV 4, Python, and scikit-learn - Second Edition

Aditya Sharma, Vishwesh Ravi Shrimali, Michael Beyeler

Machine Learning for Time-Series with Python. Forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Ben Auffarth

Machine Learning Fundamentals. Use Python and scikit-learn to get up and running with the hottest developments in machine learning

Hyatt Saleh

Machine Learning Hero. Master Data Science with Python Essentials

Cuantum Technologies LLC

Machine learning i natural language processing w programowaniu. Podręcznik z ćwiczeniami w Pythonie

Piotr Wróblewski

Machine Learning Infrastructure and Best Practices for Software Engineers. Take your machine learning software from a prototype to a fully fledged software system

Miroslaw Staron

Machine Learning on Kubernetes. A practical handbook for building and using a complete open source machine learning platform on Kubernetes

Faisal Masood, Ross Brigoli

Machine learning, Python i data science. Wprowadzenie

Andreas Müller, Sarah Guido