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Turbocharge your marketing plans by making the leap from simple
descriptive statistics in Excel to sophisticated predictive
analytics with the Python programming language Key Features Use
data analytics and machine learning in a sales and marketing
context Gain insights from data to make better business decisions
Build your experience and confidence with realistic hands-on
practice Book DescriptionUnleash the power of data to reach your
marketing goals with this practical guide to data science for
business. This book will help you get started on your journey to
becoming a master of marketing analytics with Python. You'll work
with relevant datasets and build your practical skills by tackling
engaging exercises and activities that simulate real-world market
analysis projects. You'll learn to think like a data scientist,
build your problem-solving skills, and discover how to look at data
in new ways to deliver business insights and make intelligent
data-driven decisions. As well as learning how to clean, explore,
and visualize data, you'll implement machine learning algorithms
and build models to make predictions. As you work through the book,
you'll use Python tools to analyze sales, visualize advertising
data, predict revenue, address customer churn, and implement
customer segmentation to understand behavior. By the end of this
book, you'll have the knowledge, skills, and confidence to
implement data science and machine learning techniques to better
understand your marketing data and improve your decision-making.
What you will learn Load, clean, and explore sales and marketing
data using pandas Form and test hypotheses using real data sets and
analytics tools Visualize patterns in customer behavior using
Matplotlib Use advanced machine learning models like random forest
and SVM Use various unsupervised learning algorithms for customer
segmentation Use supervised learning techniques for sales
prediction Evaluate and compare different models to get the best
outcomes Optimize models with hyperparameter tuning and SMOTE Who
this book is forThis marketing book is for anyone who wants to
learn how to use Python for cutting-edge marketing analytics.
Whether you're a developer who wants to move into marketing, or a
marketing analyst who wants to learn more sophisticated tools and
techniques, this book will get you on the right path. Basic prior
knowledge of Python and experience working with data will help you
access this book more easily.
Take a hands-on approach to understanding deep learning and build
smart applications that can recognize images and interpret text Key
Features Understand how to implement deep learning with TensorFlow
and Keras Learn the fundamentals of computer vision and image
recognition Study the architecture of different neural networks
Book Description Are you fascinated by how deep learning powers
intelligent applications such as self-driving cars, virtual
assistants, facial recognition devices, and chatbots to process
data and solve complex problems? Whether you are familiar with
machine learning or are new to this domain, The Deep Learning
Workshop will make it easy for you to understand deep learning with
the help of interesting examples and exercises throughout. The book
starts by highlighting the relationship between deep learning,
machine learning, and artificial intelligence and helps you get
comfortable with the TensorFlow 2.0 programming structure using
hands-on exercises. You'll understand neural networks, the
structure of a perceptron, and how to use TensorFlow to create and
train models. The book will then let you explore the fundamentals
of computer vision by performing image recognition exercises with
convolutional neural networks (CNNs) using Keras. As you advance,
you'll be able to make your model more powerful by implementing
text embedding and sequencing the data using popular deep learning
solutions. Finally, you'll get to grips with bidirectional
recurrent neural networks (RNNs) and build generative adversarial
networks (GANs) for image synthesis. By the end of this deep
learning book, you'll have learned the skills essential for
building deep learning models with TensorFlow and Keras. What you
will learn Understand how deep learning, machine learning, and
artificial intelligence are different Develop multilayer deep
neural networks with TensorFlow Implement deep neural networks for
multiclass classification using Keras Train CNN models for image
recognition Handle sequence data and use it in conjunction with
RNNs Build a GAN to generate high-quality synthesized images Who
this book is for If you are interested in machine learning and want
to create and train deep learning models using TensorFlow and
Keras, this workshop is for you. A solid understanding of Python
and its packages, along with basic machine learning concepts, will
help you to learn the topics quickly.
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