Books > Computing & IT > Social & legal aspects of computing > Human-computer interaction
|
Buy Now
Managing Data Science - Effective strategies to manage data science projects and build a sustainable team (Paperback)
Loot Price: R924
Discovery Miles 9 240
|
|
Managing Data Science - Effective strategies to manage data science projects and build a sustainable team (Paperback)
Expected to ship within 10 - 15 working days
|
Understand data science concepts and methodologies to manage and
deliver top-notch solutions for your organization Key Features
Learn the basics of data science and explore its possibilities and
limitations Manage data science projects and assemble teams
effectively even in the most challenging situations Understand
management principles and approaches for data science projects to
streamline the innovation process Book DescriptionData science and
machine learning can transform any organization and unlock new
opportunities. However, employing the right management strategies
is crucial to guide the solution from prototype to production.
Traditional approaches often fail as they don't entirely meet the
conditions and requirements necessary for current data science
projects. In this book, you'll explore the right approach to data
science project management, along with useful tips and best
practices to guide you along the way. After understanding the
practical applications of data science and artificial intelligence,
you'll see how to incorporate them into your solutions. Next, you
will go through the data science project life cycle, explore the
common pitfalls encountered at each step, and learn how to avoid
them. Any data science project requires a skilled team, and this
book will offer the right advice for hiring and growing a data
science team for your organization. Later, you'll be shown how to
efficiently manage and improve your data science projects through
the use of DevOps and ModelOps. By the end of this book, you will
be well versed with various data science solutions and have gained
practical insights into tackling the different challenges that
you'll encounter on a daily basis. What you will learn Understand
the underlying problems of building a strong data science pipeline
Explore the different tools for building and deploying data science
solutions Hire, grow, and sustain a data science team Manage data
science projects through all stages, from prototype to production
Learn how to use ModelOps to improve your data science pipelines
Get up to speed with the model testing techniques used in both
development and production stages Who this book is forThis book is
for data scientists, analysts, and program managers who want to use
data science for business productivity by incorporating data
science workflows efficiently. Some understanding of basic data
science concepts will be useful to get the most out of this book.
General
Is the information for this product incomplete, wrong or inappropriate?
Let us know about it.
Does this product have an incorrect or missing image?
Send us a new image.
Is this product missing categories?
Add more categories.
Review This Product
No reviews yet - be the first to create one!
|
|
Email address subscribed successfully.
A activation email has been sent to you.
Please click the link in that email to activate your subscription.