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Books > Health, Home & Family > Self-help & practical interests > Consumer guides & advice
A definitive guide covering all the core concepts necessary to pass
the Salesforce Administrator Certification exam Key Features
Understand critical design considerations for setting up Salesforce
CRM Facilitate and manage the transition from Salesforce Classic to
Lightning Experience Learn key functions of application security to
manage user profiles and data Book DescriptionSalesforce's winter
'19 release offers a host of new features for CRM designed to meet
your sales and marketing requirements. With this comprehensive
guide to implementing Salesforce CRM, administrators of all levels
can easily get a thorough understanding of the platform. This
Salesforce handbook begins by guiding you in setting up users and
security and then progresses to configuration, data management, and
data analytics. You'll discover process automation and approval
mechanisms, while also exploring the functional areas of Sales
Cloud, Service Cloud, Marketing Cloud, and Salesforce Chatter. This
book covers Salesforce CRM system administration in a practical
way, and it'll serve as an invaluable reference for both new
administrators and experienced professionals. Furthermore, you'll
also delve into Salesforce mobile apps and mobile administration,
along with Salesforce Adoption Manager. You'll gain insights into
Lightning Experience, Salesforce's new app, and learn how its
modern design and sleek interface helps you to build customizable
components. Finally, we'll see how the two versions compare and
help manage the transition from Salesforce Classic to Lightning
Experience. By the end of the book, you will have mastered the
techniques to configure and control various user interface features
in Salesforce CRM. What you will learn Configure a variety of user
interface features in Salesforce CRM Understand the capabilities of
the Salesforce CRM sharing model Explore Einstein Analytics -
Salesforce's new wave of advanced reporting Get to grips with the
Lightning Process Builder workflow Set up user profiles, security,
and login access mechanisms Find out how Apex and Visualforce
coding can be used in Salesforce CRM Manage the transition from
Salesforce Classic to Lightning Experience Implement data
manipulation features to apply best practices in data management
Who this book is forThis book is for administrators who want to
develop and strengthen their Salesforce CRM skills in the areas of
configuration and system management. Whether you are a new or
experienced professional, this book will enhance your knowledge and
understanding of Salesforce CRM features.
Discover powerful ways to effectively solve real-world machine
learning problems using key libraries including scikit-learn,
TensorFlow, and PyTorch Key Features Learn and implement machine
learning algorithms in a variety of real-life scenarios Cover a
range of tasks catering to supervised, unsupervised and
reinforcement learning techniques Find easy-to-follow code
solutions for tackling common and not-so-common challenges Book
DescriptionThis eagerly anticipated second edition of the popular
Python Machine Learning Cookbook will enable you to adopt a fresh
approach to dealing with real-world machine learning and deep
learning tasks. With the help of over 100 recipes, you will learn
to build powerful machine learning applications using modern
libraries from the Python ecosystem. The book will also guide you
on how to implement various machine learning algorithms for
classification, clustering, and recommendation engines, using a
recipe-based approach. With emphasis on practical solutions,
dedicated sections in the book will help you to apply supervised
and unsupervised learning techniques to real-world problems. Toward
the concluding chapters, you will get to grips with recipes that
teach you advanced techniques including reinforcement learning,
deep neural networks, and automated machine learning. By the end of
this book, you will be equipped with the skills you need to apply
machine learning techniques and leverage the full capabilities of
the Python ecosystem through real-world examples. What you will
learn Use predictive modeling and apply it to real-world problems
Explore data visualization techniques to interact with your data
Learn how to build a recommendation engine Understand how to
interact with text data and build models to analyze it Work with
speech data and recognize spoken words using Hidden Markov Models
Get well versed with reinforcement learning, automated ML, and
transfer learning Work with image data and build systems for image
recognition and biometric face recognition Use deep neural networks
to build an optical character recognition system Who this book is
forThis book is for data scientists, machine learning developers,
deep learning enthusiasts and Python programmers who want to solve
real-world challenges using machine-learning techniques and
algorithms. If you are facing challenges at work and want
ready-to-use code solutions to cover key tasks in machine learning
and the deep learning domain, then this book is what you need.
Familiarity with Python programming and machine learning concepts
will be useful.
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