Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Beginning Serverless Computing: Developing with Amazon Web Services, Microsoft Azure, and Google Cloud
Learn the basics of serverless computing and how to develop event-driven architectures with the three major cloud platforms: Amazon Web Services, Microsoft Azure, and Google Cloud. This hands-on guide dives into the foundations of serverless computing, its use cases, and how to apply it using developer tools such as Node.js, Visual...
Hands-On Cybersecurity for Architects: Plan and design robust security architectures
Hands-On Cybersecurity for Architects: Plan and design robust security architectures

Gain practical experience of creating security solutions and designing secure, highly available, and dynamic infrastructure for your organization

Key Features

  • Architect complex security structures using standard practices and use cases
  • Integrate security with any...
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks
Deep Learning By Example: A hands-on guide to implementing advanced machine learning algorithms and neural networks

Grasp the fundamental concepts of deep learning using Tensorflow in a hands-on manner

Key Features

  • Get a first-hand experience of the deep learning concepts and techniques with this easy-to-follow guide
  • Train different types of neural networks using Tensorflow for...
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python
Hands-On Recommendation Systems with Python: Start building powerful and personalized, recommendation engines with Python

With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems (collaborative, knowledge and content based) and deploying them to the web

Key Features

  • Build industry-standard recommender systems
  • ...
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust
Thoughtful Data Science: A Programmer's Toolset for Data Analysis and Artificial Intelligence with Python, Jupyter Notebook, and PixieDust

Bridge the gap between developer and data scientist by creating a modern open-source, Python-based toolset that works with Jupyter Notebook, and PixieDust.

Key Features

  • Think deeply as a developer about your strategy and toolset in data science
  • Discover the best tools that...
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j
Hands-On Artificial Intelligence with Java for Beginners: Build intelligent apps using machine learning and deep learning with Deeplearning4j

Build, train, and deploy intelligent applications using Java libraries

Key Features

  • Leverage the power of Java libraries to build smart applications
  • Build and train deep learning models for implementing artificial intelligence
  • Learn various algorithms to...
Blockchain By Example: A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger
Blockchain By Example: A developer's guide to creating decentralized applications using Bitcoin, Ethereum, and Hyperledger

Implement decentralized blockchain applications to build scalable Dapps

Key Features

  • Understand the blockchain ecosystem and its terminologies
  • Implement smart contracts, wallets, and consensus protocols
  • Design and develop decentralized applications using...
Data Analysis with Python: A Modern Approach
Data Analysis with Python: A Modern Approach

Learn a modern approach to data analysis using Python to harness the power of programming and AI across your data. Detailed case studies bring this modern approach to life across visual data, social media, graph algorithms, and time series analysis.

Key Features

  • Bridge your data analysis...
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition
Functional Python Programming: Discover the power of functional programming, generator functions, lazy evaluation, the built-in itertools library, and monads, 2nd Edition

Create succinct and expressive implementations with functional programming in Python

Key Features

  • Learn how to choose between imperative and functional approaches based on expressiveness, clarity, and performance
  • Get familiar with complex concepts such as monads,...
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions
Applied Deep Learning with Python: Use scikit-learn, TensorFlow, and Keras to create intelligent systems and machine learning solutions

A hands-on guide to deep learning that's filled with intuitive explanations and engaging practical examples

Key Features

  • Designed to iteratively develop the skills of Python users who don't have a data science background
  • Covers the key foundational concepts...
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers
Getting Started with Containerization: Reduce the operational burden on your system by automating and managing your containers

Choose the smarter way to learn about containerizing your applications and running them in production.

Key Features

  • Deploy and manage highly scalable, containerized applications with Kubernetes
  • Build high-availability Kubernetes clusters
  • Secure your...
C++ High Performance: Boost and optimize the performance of your C++17 code
C++ High Performance: Boost and optimize the performance of your C++17 code

Write code that scales across CPU registers, multi-core, and machine clusters

Key Features

  • Explore concurrent programming in C++
  • Identify memory management problems
  • Use SIMD and STL containers for performance improvement

Book...

Result Page: 473 472 471 470 469 468 467 466 465 464 
©2019 LearnIT (support@pdfchm.net) - Privacy Policy