Showing results for "dr vikas thada"
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2020
EN
In the very recent years, development of recommendation system has been a more heated problem due to a higher level of data consumption and the advancement of machine learning techniques The book presents an improved algorithm based on machine learning on hybrid approach using collaborative filtering, content based filtering and popularity based filtering using python
2020
EN
In the information era, enormous amounts of data have become available on hand to decision makers. Big data refers to datasets that are not only big, but also high in variety and velocity, which makes them difficult to handle using traditional tools and techniques. The book covers the basic matter to understand the concept of Big Data, its architecture, challenges and applications in concise manner.
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2019
EN
This Book Is One Of The Most Valuable Resources In The World When It Comes To The Future Of Computing!Cloud computing is basically the term used to describe anything involving the delivering processes hosted services over the internet. These services are generally divided into three main categories, which would be infrastructure as a service, platform as a service and software as a service....
2015
EN
Any website should not only have an eye-catchy design, but also be recognizable and well-performing. Thus, you should definitely read this guide to make sure you've got a memorable domain name that assosiates with your brand. And don't forget to learn how to choose a good hosting provider for your website to secure your data and improve the site's performance.This comprehencive 2-in-1 guide will help you solve most issues with your domain name and hosting plan selection to make thi...
2014
EN
Mainframe interview cases gives an approach to answering 'case based' mainframe questions – the questions will be not direct – rather based on scenarios and will be based on a situation, which the candidate would need to translate into functional and technical requirements. The book is written to fill a gap that needs to be covered when dealing with "Judging the thought process of a candidate". This book can be used as a base to develop cases not restricted for external hiring, but also fo...
Data Mesh
Principles and Logical Architecture
2026
EN
Accessible
Gain a broader understanding of Data Mesh and logical architecture.Have you ever asked yourself why you need to learn about Data Mesh?What is their use in our daily life?Have you ever wondered what the logical architecture is for a data mesh?Your data is like a mesh. It's everywhere, and it's connected.You have data on your servers, your networks, and your clients. And it's not just one kind of data—it's all different types that need...
2015
EN
Starting out with Drupal means being unsure about what to do, how to start and how to get the most out of it; preparing for success, and avoiding failure.There is enormous satisfaction in seeing the change succeed, overcoming the obstacles in the way to reap the rewards and benefits that using Drupal brings.Don't embark on the change unprepared or it will be doomed to fail. But it's my guess that since you're reading this, the forces of change have already been set in motio...
Building and Operating Data Hubs
Using a practical Framework as Toolset
2022
EN
Building and Operating Data Hubs introduces a practical framework as Toolset. The book should help to get a clear picture of your Data Environment and the interlink between your Data Products, your Databases, Data Warehouses and all your structured and unstructured Data.No matter if there are Data Science and Machine Learning Applications or just standard Reports coming out of your Data Environment, building and operating Data Hubs can be similar to building a house. You need a stab...
Designing Machine Learning Systems
An Iterative Process for Production-Ready Applications
2022
EN
Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each ...
2013
EN
Five or six years ago, analysts working with big datasets made queries and got the results back overnight. The data world was revolutionized a few years ago when Hadoop and other tools made it possible to getthe results from queries in minutes. But the revolution continues. Analysts now demand sub-second, near real-time query results. Fortunately, we have the tools to deliver them. This report examines tools and technologies that are driving real-time big data analytics.
Generative AI with LangChain
Build production-ready LLM applications and advanced agents using Python, LangChain, and LangGraph
2025
EN
Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applicationsKey FeaturesBridge the gap between prototype and production with robust LangGraph agent architecturesApply enterprise-grade practices for testing, observability, and monitoringBuild specialized agents for softwar...
CCSP (ISC)2 Certified Cloud Security Professional Exam Guide
Build your knowledge to pass the CCSP exam with expert guidance
2024
EN
“I was impressed by how well-structured the book is, offering clear and expert guidance that makes complex concepts easy to understand. The comprehensive coverage of topics and practical examples will ensure that you are well-prepared for the exam.” Oluwaseyi Akinseesin, Top Information Security Voice on LinkedIn, Senior Manager, IT & Operational Risk Management at RBC “In a crowded field of boot camps, in-person/online training and books, this book is another wonderful addition to mast...











