An accessible introduction to applied data science and machine learning, with minimal math and code required to master the foundational and technical aspects of data science. In Just Enough Data Science...Loe edasi...
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like Llama 3, Claude 2, and the GPT family are demonstrating breathtaking capabilities, but their size and compl...Loe edasi...
Master the Fundamentals of Modern Visual Analytics--and Craft Compelling Visual Narratives in Tableau! Do you need to persuade or inform people? Do you have data? Then you need to master visual analytics and...Loe edasi...
The advancement of Large Language Models (LLMs) has revolutionized the field of Natural Language Processing in recent years. Models like BERT, T5, and ChatGPT have demonstrated unprecedented performance on a wide range of NLP tasks, from text clas...Loe edasi...
Manage and Automate Data Analysis with Pandas in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly auto...Loe edasi...
Data science and machine learning – two of the world’s hottest fields – are attracting talent from a wide variety of technical, business, and liberal arts disciplines. Python, the world’s #1 programming language, is also the most popul...Loe edasi...
In just a few years, deep reinforcement learning (DRL) systems such as DeepMinds DQN have yielded remarkable results. This hybrid approach to machine learning shares many similarities with human learning: its unsupervised self-learning, self-dis...Loe edasi...
Business analysts, managers, researchers, and students are rushing to master powerful machine learning techniques for improving decision-making and scaling analysis to immense datasets. Machine Learning with Python for Every...Loe edasi...
Deep learning is one of today’s hottest fields. This approach to machine learning is achieving breakthrough results in some of today’s highest profile applications, in organizations ranging from Google to Tesla, Fac...Loe edasi...
The typical data science task in industry starts with an “ask” from the business. But few data scientists have been taught what to do with that ask. This book shows them how to assess it in the context of the busine...Loe edasi...
This unique guide brings together all the skills you need to get started with data science -- one of the world’s fastest growing fields! Leading data science instructors Michael Freeman and Joel Ross start by guiding you...Loe edasi...
This is the first end-to-end, full-color guide to telling powerful, actionable data stories using Tableau, the world’s #1 visualization software. Renowned expert Lindy Ryan shows you how to communicate the full business i...Loe edasi...
This tutorial teaches everything you need to get started with Python programming for the fast-growing field of data analysis. Daniel Chen tightly links each new concept with easy-to-apply, relevant examples from modern data ana...Loe edasi...
Using the open source R language, you can build powerful statistical models to answer many of your most challenging questions. R has traditionally been difficult for non-statisticians to learn, and most R books assume far too m...Loe edasi...
Stop searching the web for out-of-date, fragmentary, and unreliable information about running Hadoop! Now, theres a single source for all the authoritative knowledge and trustworthy procedures you need: Expert Hadoop 2 Admi...Loe edasi...
Most machine learning guides cover data cleaning briefly or skip it entirely. However, many data scientists and analysts spend most of their time on data cleaning and data quality tasks, and their effectiveness can make or break project success. In...Loe edasi...
