Emotional Intelligence: The Complete Guide to Learn Leadership Principles. Overcome Anxiety and Depression with CBT, Declutter Your Mind and I, Deep Brandon

Автор: Deep Brandon
Название: Dark Psychology and Manipulation: NLP Techniques for Improving Persuasion. Learn How to Read Body Language, Analyze and Influence People`s Behavior wi
ISBN: 1801099553 ISBN-13(EAN): 9781801099554
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Описание:

Would you like to understand dark psychology, manipulation and learn how to analyze people? If you are fascinated by these topics, then keep reading...

Dark Psychology refers to your developed capacity to identify, appreciate, control, and use emotions to advantage yourself as well as others confidently. Dark psychology has many different aspects and elements that encompass it. While it is true that we all have these elements within us to some degree, we are not all prone to using them all the time. Most of us will use them when we feel there is no other course for us to take, so we get manipulative.

Feelings create an endless response cycle between your physical body and brain for better or worse. They can control your activities or help enhance them - this all depends on your personal relationship with them and your emotional state to be. Emotional senses range between cheerfulness, shock, and anxiety, to sorrow, hatred, and rage. Although feelings are an important part of human living, they may affect your personal conduct and sometimes, you can risk attaching feelings to everything.

Recognition is to become alert to your own emotions also to recognize your relationship with them. Appreciation can be the most difficult aspect to master since you must figure out how to appreciate your emotions for what they are. Only one time you accept them and find a genuine appreciation for them is it possible to move on to control them in a healthy manner.

Inside you will discover:

- Delving into Dark Psychology

- Understanding Dark Triad Personalities

- What is Emotional Manipulation?

- Psychology of Manipulation

- Characteristics of Manipulative Relationship

- Categories of Emotionally Manipulative Behavior

- Character Traits of a Manipulator

- Victims of Manipulation

- How to Protect Yourself Against Emotional Predators

- Dark Persuasion Methods

- Hypnosis

- Hypnotherapy

...And much more

Do not allow yourself to live another day in oblivion. Get ready to understand how to improve your life thanks to Dark Psychology and Manipulation.

You will be grateful to yourself for deciding to read this book

Do you want to learn more? Don't wait anymore, buy now and get started.

Автор: Railey Brandon
Название: Python Machine Learning: A Practical Beginner`s Guide for Understanding Machine Learning, Deep Learning and Neural Networks with Python, Scikit
ISBN: 3903331333 ISBN-13(EAN): 9783903331334
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Discover The Incredible World Of Machine Learning With This Amazing Guide

Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your questions within a blink of your eyes? If you responded yes to any of the above questions, you have come to the right place.

Machine learning and artificial intelligence have been used in different machines and applications to improve the user's experience. One can also use machine learning to make data analysis and predicting the output for some data sets easy. All you need to do is choose the right algorithm, train the model and test the model before you apply it on any real-world tool. It is that simple isn't it?

Apart from this, you will also learn more about:

Автор: Railey Brandon
Название: Python Machine Learning: A Practical Beginner`s Guide for Understanding Machine Learning, Deep Learning and Neural Networks with Python, Scikit
ISBN: 3903331724 ISBN-13(EAN): 9783903331723
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Описание: Have you come across the terms machine learning and neural networks in most articles you have recently read? Do you also want to learn how to build a machine learning model that will answer your questions within a blink of your eyes? If you responded yes to any of the above questions, you have come to the right place.

Автор: Zai Alexander, Brown Brandon
Название: Deep Reinforcement Learning in Action
ISBN: 1617295434 ISBN-13(EAN): 9781617295430
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Описание: Summary

Humans learn best from feedback--we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you'll need to implement it into your own projects.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the technology

Deep reinforcement learning AI systems rapidly adapt to new environments, a vast improvement over standard neural networks. A DRL agent learns like people do, taking in raw data such as sensor input and refining its responses and predictions through trial and error.

About the book

Deep Reinforcement Learning in Action teaches you how to program AI agents that adapt and improve based on direct feedback from their environment. In this example-rich tutorial, you'll master foundational and advanced DRL techniques by taking on interesting challenges like navigating a maze and playing video games. Along the way, you'll work with core algorithms, including deep Q-networks and policy gradients, along with industry-standard tools like PyTorch and OpenAI Gym.

What's inside

Building and training DRL networks
The most popular DRL algorithms for learning and problem solving
Evolutionary algorithms for curiosity and multi-agent learning
All examples available as Jupyter Notebooks

About the reader

For readers with intermediate skills in Python and deep learning.

About the author

Alexander Zai is a machine learning engineer at Amazon AI. Brandon Brown is a machine learning and data analysis blogger.

Table of Contents

PART 1 - FOUNDATIONS

1. What is reinforcement learning?

2. Modeling reinforcement learning problems: Markov decision processes

3. Predicting the best states and actions: Deep Q-networks

4. Learning to pick the best policy: Policy gradient methods

5. Tackling more complex problems with actor-critic methods

PART 2 - ABOVE AND BEYOND

6. Alternative optimization methods: Evolutionary algorithms

7. Distributional DQN: Getting the full story

8.Curiosity-driven exploration

9. Multi-agent reinforcement learning

10. Interpretable reinforcement learning: Attention and relational models

11. In conclusion: A review and roadmap