Gain useful insights from your data using popular data science toolsKey FeaturesA one-stop guide to Python libraries such as pandas and NumPyComprehensive coverage of data science operations such as data cleaning and data manipulationChoose scalable learning algorithms for your data science tasksBook DescriptionFully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data scie...

Become an efficient data science practitioner by thoroughly understanding the key concepts of PythonKey FeaturesQuickly get familiar with data science using PythonSave tons of time through this reference book with all the essential tools illustrated and explainedCreate effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceBook DescriptionThe book starts by introduc...

Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guideKey FeaturesUse TensorFlow to write reinforcement learning agents for performing challenging tasksLearn how to solve finite Markov decision problemsTrain models to understand popular video games like BreakoutBook DescriptionVarious intelligent ...

Learn to build powerful machine learning models quickly and deploy large-scale predictive applicationsKey Features\[\*\]Design, engineer and deploy scalable machine learning solutions with the power of Python\[\*\]Take command of Hadoop and Spark with Python for effective machine learning on a map reduce framework\[\*\]Build state-of-the-art models and develop personalized recommendations to perform machine learning at scaleBook D...

Learn to solve challenging data science problems by building powerful machine learning models using PythonAbout This BookUnderstand which algorithms to use in a given context with the help of this exciting recipe-based guideThis practical tutorial tackles real-world computing problems through a rigorous and effective approachBuild state-of-the-art models and develop personalized recommendations to perform machine learning at scal...

Learn the art of regression analysis with PythonKey Features\[\*\] Become competent at implementing regression analysis in Python\[\*\] Solve some of the complex data science problems related to predicting outcomes\[\*\] Get to grips with various types of regression for effective data analysisBook DescriptionRegression is the process of learning relationships between inputs and continuous outputs from example data, which enab...

Become an efficient data science practitioner by understanding Python\\'s key conceptsKey Features\[\*\] Quickly get familiar with data science using Python 3.5\[\*\] Save time (and effort) with all the essential tools explained\[\*\] Create effective data science projects and avoid common pitfalls with the help of examples and hints dictated by experienceBook DescriptionFully expanded and upgraded, the second edition of Pyth...

Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analyticsKey FeaturesLeverage Python’s most powerful open-source libraries for deep learning, data wrangling, and data visualizationLearn effective strategies and best practices to improve and optimize machine learning systems and algorithmsAsk – and answer – tough questions of your data with robust statistical models, built for a range of datasets...

Unleash the power of Python and its robust data science capabilitiesKey FeaturesUnleash the power of Python 3 objectsLearn to use powerful Python libraries for effective data processing and analysisHarness the power of Python to analyze data and create insightful predictive modelsUnlock deeper insights into machine learning with this vital guide to cutting-edge predictive analyticsBook DescriptionThe Python: Real-Wor...

Unlock modern machine learning and deep learning techniques with Python by using the latest cutting-edge open source Python libraries.Key FeaturesSecond edition of the bestselling book on Machine LearningA practical approach to key frameworks in data science, machine learning, and deep learningUse the most powerful Python libraries to implement machine learning and deep learningGet to know the best practices to improve and optimize you...

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly.The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anon...

How do the experts solve difficult problems in software development? In this unique and insightful book, leading computer scientists offer case studies that reveal how they found unusual, carefully designed solutions to high-profile projects. You will be able to look over the shoulder of major coding and design experts to see problems through their eyes.This is not simply another design patterns book, or another software engineering treatise on the right and wrong way to do things....