The Complete Artificial Intelligence for Cyber Security 2022
Size: 6.07 GB

Learn key AI concepts and intuition training to get you quickly up to speed with all things AI. Covering:

  • How to start building AI with no previous coding experience using Python.
  • How to solve AI problems in cyber security field.

Here is what you will get with this course:

1. Complete beginner to expert AI skills – Learn to code self-improving AI for a range of purposes. In fact, I will code together with you. Every tutorial starts with a blank page and we write up the code from scratch. This way you can follow along and understand exactly how the code comes together and what each line means.

2. Coding step– Plus, you’ll get a template which shows all the steps and all detailed explanations on each step.

3. Intuition Tutorials – Where most courses simply bombard you with dense theory and set you on your way, you will develop a deep understanding for not only what you’re doing, but why you’re doing it. That’s why I don’t throw complex theories at you, but focus on building up your intuition in coding AI making for infinitely better results down the line.

4. Real-world solutions – You’ll achieve your goal in not only 1 project but in more than 10. Each module is comprised of varying structures and difficulties, meaning you’ll be skilled enough to build AI adaptable to any projects in real life, rather than just passing a glorified memory “test and forget” like most other courses. Practice truly does make perfect.

5. In-course support – I fully committed to making this the most accessible and results-driven AI course on the planet. This requires me to be there when you need my help. That’s why I will support you in your journey, meaning you’ll get a response from me within 72 hours maximum.

Who this course is for:

  • Anyone interested in Artificial Intelligence, Machine Learning or Deep Learning in Cyber Security
  • Any people who are not satisfied with their job and who want to become a Data Scientist.
  • Any data analysts who want to level up in Machine Learning, Deep Learning and Artificial Intelligence.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning, Deep Learning, Artificial Intelligence and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Anyone passionate about Artificial Intelligence.
  • Data Scientists who want to take their AI Skills to the next level.
  • AI experts who want to expand on the field of applications.
  • Any people who want to create added value to their business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools. Any people who want to work in a Car company as a Data Scientist, Machine Learning, Deep Learning and Artificial Intelligence engineer.
  • Any people who are not satisfied with their job and who want to become a Data Scientist.

What you’ll learn

  • Isolation Forest
  • Markov Chains
  • Statsmodels
  • NLP (Natural Language Processing)
  • Linear Regression
  • Logistic Regression
  • Naïve Bayes
  • ANN (Artificial Intelligence)
  • Random Forest
  • K-means
  • HMM
  • Eigenfaces and Eigenvalues
  • SVM (Support Vector Machine)
  • Pandas
  • Numpy
  • matplotlib
  • IF-IDF
  • Tensorflow
  • Scikit-Learn
  • Cyber security
  • Google Colab
  • Data Pre-processing.
  • Analysing Data.
  • Data standardization.
  • Splitting Data into Training Set and Test Set.
  • One-hot Encoding.
  • Understanding Machine Learning Algorithm.
  • Training Neural Network.
  • Model building.
  • Analysing Results.
  • Model compilation.
  • A Comparison Of Categorical And Binary Problem.
  • Make a Prediction.
  • Testing Accuracy.
  • Confusion Matrix.
  • Keras.


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