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Practical Weak Supervision

Kafka: The Definitive Guide, 2nd Edition

Gwen Shapira, Todd Palino, Rajini Sivaram,

Python and R for the Modern Data Scientist

Rick J. Scavetta, Boyan Angelov

Data Science at the Command Line, 2nd Edition

Jeroen Janssens

Fundamentals of Deep Learning, 2nd Edition

Interactive Reports in SAS® Visual Analytics

Introduction to Statistical and Machine Learning Methods for Data Science

Empowering Organizations with Power Virtual Agents

Getting Started with Streamlit for Data Science

Exploring GPT-3

Machine Learning Engineering with MLflow

Multiply Your Business Value Through Brand & AI

How to Talk to Data Scientists

Full Stack Python Security

Software Telemetry

Transfer Learning for Natural Language Processing

PyTorch Pocket Reference

Joe Papa

Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python

State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Cloud Native Integration with Apache Camel: Building Agile and Scalable Integrations for Kubernetes Platforms

Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence

Data Modeling with SAP BW/4HANA 2.0: Implementing Agile Data Models Using Modern Modeling Concepts

Foundation Db2 and Python: Access Db2 with Module-Based API Examples Using Python

Enterprise AIOps

AI and Machine Learning for On-Device Development

The Framework for ML Governance

Enhanced Cyber Resilience Threat Detection with IBM FlashSystem Safeguarded Copy and IBM QRadar

IBM FlashSystem Best Practices and Performance Guidelines

IBM FlashSystem 5200 Product Guide

Cloudera Data Platform Private Cloud Base with IBM Spectrum Scale

Practical Weak Supervision

Author
Release Date 2021/10
Most data scientists and engineers today rely on quality labeled data to train their machine learning models. But building training sets manually is time-consuming and expensive, leaving many companies with unfinished ML projects. There's a more practical approach. In this book, Amit Bahree, Senja ....
Kafka: The Definitive Guide, 2nd Edition

Author Gwen Shapira , Todd Palino , Rajini Sivaram
Release Date 2021/10
Every enterprise application creates data, whether it consists of log messages, metrics, user activity, outgoing messages, or something else. Moving all of this data is just as important as the data itself. This book’s updated second edition shows application architects, ....
Python and R for the Modern Data Scientist

Author Rick J. Scavetta , Boyan Angelov
Release Date 2021/09
Success in data science depends on the flexible and appropriate use of tools. That includes Python and R, two of the foundational programming languages in the field. With this book, data scientists from the Python and R communities will learn how to speak the dialects of ....
Data Science at the Command Line, 2nd Edition

Author Jeroen Janssens
Release Date 2021/09
This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You’ll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data.....
Fundamentals of Deep Learning, 2nd Edition

Author
Release Date 2021/09
We're in the midst of an AI research explosion. Deep learning has unlocked superhuman perception that has powered our push toward self-driving vehicles, the ability to defeat human experts at a variety of difficult games including Go and Starcraft, and even generate essays with shockingly coherent ....
Interactive Reports in SAS® Visual Analytics

Author
Release Date 2021/08
Elevate your reports with more user control and interactive elements Want to create exciting, user-friendly visualizations to bring greater intelligence to your organization? By mastering the full power of SAS Visual Analytics, you can add features that will enhance your reports and bring more de....
Introduction to Statistical and Machine Learning Methods for Data Science

Author
Release Date 2021/08
Boost your understanding of data science techniques to solve real-world problems Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-....
Empowering Organizations with Power Virtual Agents

Author
Release Date 2021/08
Unleash the capabilities of Power Virtual Agents to provide actionable insights to your customers and employees using automated chatbot solutionsKey FeaturesProvide instant customer support on your webpages using Power Virtual AgentsDiscover tips and techniques for the governance, administration, an....
Getting Started with Streamlit for Data Science

Author
Release Date 2021/08
Create, deploy, and test your Python applications, analyses, and models with ease using StreamlitKey FeaturesLearn how to showcase machine learning models in a Streamlit application effectively and efficientlyBecome an expert Streamlit creator by getting hands-on with complex application creationDis....
Exploring GPT-3

Author
Release Date 2021/08
Get started with GPT-3 and the OpenAI API for natural language processing using JavaScript and PythonKey FeaturesUnderstand the power of potential GPT-3 language models and the risks involvedExplore core GPT-3 use cases such as text generation, classification, and semantic search using engaging exam....
Machine Learning Engineering with MLflow

Author
Release Date 2021/08
Get up and running, and productive in no time with MLflow using the most effective machine learning engineering approachKey FeaturesExplore machine learning workflows for stating ML problems in a concise and clear manner using MLflowUse MLflow to iteratively develop a ML model and manage it Discover....
Multiply Your Business Value Through Brand & AI

Author
Release Date 2021/08
Brand building is a competitive advantage that organizations can leverage to multiply their value. Artificial intelligence (AI), is a recent phenomenon that enables organizations reduce errors, build efficiencies and increase profitability, thereby freeing their human capital to perform more intelle....
How to Talk to Data Scientists

Author
Release Date 2021/08
Every major company has or will soon have a data science program. Most fail, expensively, imperiling their executive sponsors. Unfortunately, executives have been misled to focus on the latest buzzwords. Although buzzwords change— big data, data science, machine learning, deep learning, and artif....
Full Stack Python Security

Author
Release Date 2021/08
Full Stack Python Security: Cryptography, TLS, and attack resistance teaches you everything you need to secure Python and Django-based web apps. In it, seasoned security pro Dennis Byrne demystifies complex security terms and algorithms. Starting with a clear review of cryptographic foundations, you....
Software Telemetry

Author
Release Date 2021/08
Software Telemetry shows you how to efficiently collect, store, and analyze system and application log data so you can monitor and improve your systems. Manage the pillars of observability—logs, metrics, and traces—in an end-to-end telemetry system that integrates with your existing infrastructure. ....
Transfer Learning for Natural Language Processing

Author
Release Date 2021/08
Transfer Learning for Natural Language Processing teaches you to create powerful NLP solutions quickly by building on existing pretrained models. This instantly useful book provides crystal-clear explanations of the concepts you need to grok transfer learning along with hands-on examples so you can ....
PyTorch Pocket Reference

Author Joe Papa
Release Date 2021/08
This concise, easy-to-use reference puts one of the most popular frameworks for deep learning research and development at your fingertips. Author Joe Papa provides instant access to syntax, design patterns, and code examples to accelerate your development and reduce the t....
Natural Language Processing Recipes: Unlocking Text Data with Machine Learning and Deep Learning Using Python

Author
Release Date 2021/08
Focus on implementing end-to-end projects using Python and leverage state-of-the-art algorithms. This book teaches you to efficiently use a wide range of natural language processing (NLP) packages to: implement text classification, identify parts of speech, utilize topic modeling, text summarization....
State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem

Author
Release Date 2021/08
Use TensorFlow 2.x in the Google Colab ecosystem to create state-of-the-art deep learning models guided by hands-on examples. The Colab ecosystem provides a free cloud service with easy access to on-demand GPU (and TPU) hardware acceleration for fast execution of the models you learn to build. This ....
Cloud Native Integration with Apache Camel: Building Agile and Scalable Integrations for Kubernetes Platforms

Author
Release Date 2021/08
Address the most common integration challenges, by understanding the ins and outs of the choices and exemplifying the solutions with practical examples on how to create cloud native applications using Apache Camel. Camel will be our main tool, but we will also see some complementary tools and plugin....
Beginning Azure Cognitive Services: Data-Driven Decision Making Through Artificial Intelligence

Author
Release Date 2021/08
Get started with Azure Cognitive Services and its APIs that expose machine learning as a service. This book introduces the suite of Azure Cognitive Services and helps you take advantage of the proven machine learning algorithms that have been developed by experts and made available through Cognitive....
Data Modeling with SAP BW/4HANA 2.0: Implementing Agile Data Models Using Modern Modeling Concepts

Author
Release Date 2021/08
Gain practical guidance for implementing data models on the SAP BW/4HANA platform using modern modeling concepts. You will walk through the various modeling scenarios such as exposing HANA tables and views through BW/4HANA, creating virtual and hybrid data models, and integrating SAP and non-SAP dat....
Foundation Db2 and Python: Access Db2 with Module-Based API Examples Using Python

Author
Release Date 2021/08
Work with Db2 to write SQL and access databases using optimized code for the fastest response. This book will give you complete documentation on DB2 via Python for the IBM_db module and provide a number of examples for the usage of each module API.Begin by getting your free version of Db2 for ....
Enterprise AIOps

Author
Release Date 2021/08
The mountains of data generated on a daily basis has vastly outstripped growth in the supply of technical analysts. How can your organization provide value from these data volumes with your existing analytical capabilities and staff? With this report, business leaders looking to move from small AI p....
AI and Machine Learning for On-Device Development

Author
Release Date 2021/08
AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating and running models on popular mobile platforms such as iOS and A....
The Framework for ML Governance

Author
Release Date 2021/08
Most companies don't have problems building and deploying algorithmic models, but they do struggle to effectively manage them in production. Maximizing the value of machine learning projects in the enterprise requires a robust MLOps program. But there's one key challenge: The problem MLOps sets ou....
Enhanced Cyber Resilience Threat Detection with IBM FlashSystem Safeguarded Copy and IBM QRadar

Author
Release Date 2021/08
The focus of this document is to demonstrate an early threat detection by using IBM® QRadar® and the Safeguarded Copy feature that is available as part of IBM FlashSystem® and IBM SAN Volume Controller. Such early detection protects and quickly recovers the data if a cyberattack occurs.This document....
IBM FlashSystem Best Practices and Performance Guidelines

Author
Release Date 2021/08
This IBM® Redbooks® publication captures several of the preferred practices and describes the performance gains that can be achieved by implementing the IBM FlashSystem products. These practices are based on field experience. This book highlights configuration guidelines and preferred practices for ....
IBM FlashSystem 5200 Product Guide

Author
Release Date 2021/08
This IBM® Redbooks® Product Guide publication describes the IBM FlashSystem® 5200 solution, which is a next-generation IBM FlashSystem control enclosure. It is an NVMe end-to-end platform that is targeted at the entry and midrange market and delivers the full capabilities of IBM FlashCore® technolog....
Cloudera Data Platform Private Cloud Base with IBM Spectrum Scale

Author
Release Date 2021/08
This IBM® Redpaper publication provides guidance on building an enterprise-grade data lake by using IBM Spectrum® Scale and Cloudera Data Platform (CDP) Private Cloud Base for performing in-place Cloudera Hadoop or Cloudera Spark-based analytics. It also covers the benefits of the integrated solutio....

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