Unleash Your Programming Potential with the Ultimate Guide Discover why Python and SQL mastery is essential for your career advancement. …
This easy-to-follow guide provides R and Python recipes to help you learn and apply the top languages in the field …
If you know how to program, you have the skills to turn data into knowledge using the tools of probability …
Designed as a textbook for a one or two-term introduction to mathematical statistics for students training to become data scientists, …
Time Series Analysis allows us to analyze data which is generated over a period of time and has sequential interdependencies …
Perform time series analysis and forecasting confidently with this Python code bank and reference manualKey FeaturesExplore forecasting and anomaly detection …
Understand the key aspects and challenges of machine learning interpretability, learn how to overcome them with interpretation methods, and leverage …
A deep dive into the key aspects and challenges of machine learning interpretability using a comprehensive toolkit, including SHAP, feature …
How can you tap into the wealth of social web data to discover who’s making connections with whom, what they’re …
Transforming data into actionable insights using Python. Description: Python is a popular programming language for data visualization due to its …
Build, monitor, and manage real-time data pipelines to create data engineering infrastructure efficiently using open-source Apache projectsKey FeaturesBecome well-versed in …
If you intend to use Amazon Web Services (AWS) for remote computing and storage, Python is an ideal programming language …
Untangle your web scraping complexities and access web data with ease using Python scriptsKey FeaturesHands-on recipes to advance your web …
Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using …
This book introduces Web developers to the advanced topic of machine learning and statistics in a clear and concise way, …
Implement deep learning applications using TensorFlow while learning the “why” through in-depth conceptual explanations. You’ll start by learning what deep …
The book presents the confluence of wearable and wireless inertial sensor systems, such as a smartphone, for deep brain stimulation …
This textbook provides an easy-to-understand introduction to the mathematical concepts and algorithms at the foundation of Data Science. It covers …
Deep learning doesn't have to be intimidating. Until recently, this machine-learning method required years of study, but with frameworks such …
Deploy deep learning applications into production across multiple platforms. You will work on computer vision applications that use the convolutional …
Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of rational reasoning and the fundamental principle …
Data structures are essential principles applicable to any programming language in computer science. Data structures may be studied more easily …
Understand how implementing different data structures and algorithms intelligently can make your Python code and applications more maintainable and efficientKey …
Develop self-learning algorithms and agents using TensorFlow and other Python tools, frameworks, and libraries Key Features • Learn, develop, and …
Harness the power of Python objects and data structures to implement algorithms for analyzing your data and efficiently extracting informationKey …
Build smart applications by implementing real-world artificial intelligence projects Key Features • Explore a variety of AI projects with Python …
Learn the ins and outs of decisions, biases, and reliability of AI algorithms and how to make sense of these …
Get well-versed with traditional as well as modern natural language processing concepts and techniques Key Features Perform various NLP tasks …
QGIS is one of the premiere open source Geographical Information Systems. While developing Python geospatial applications can be challenging, QGIS …
If you are an experienced Python developer who wants to create your own geospatial applications with minimum fuss, this is …
Use the computational thinking philosophy to solve complex problems by designing appropriate algorithms to produce optimal results across various domains …
Learn to evaluate and compare data encryption methods and attack cryptographic systemsKey FeaturesExplore popular and important cryptographic methodsCompare cryptographic modes …