PentesterAcademy – Data Science and Machine Learning for Infosec

PentesterAcademy – Data Science and Machine Learning for Infosec
English | Size: 20.5 GB
Category: Programming | Security

The age of intelligent machines is here! We are now seeing Machine Learning disrupting every technological field including computer security. As more and more security products use Machine Learning, it is important as Pentesters and Security Researchers to understand how to make and break this technology! [Read more…]

Udacity – Data Science Scholarship Program By Bertelsmann

Udacity – Data Science Scholarship Program By Bertelsmann
English | Size: 0.99 GB
Category: Tutorial

Master data skills with Bertelsmann
Learn valuable skills to launch or advance your career in our data-driven economy.
Master world-class curriculum designed for the data jobs of today, tomorrow, and beyond.
Upskill for the thousands of data-related jobs companies like Bertelsmann are hiring for!

How it Works
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Udemy – Python for Data Science and Machine Learning Bootcamp


Udemy – Python for Data Science and Machine Learning Bootcamp
English | Size: 3.41 GB
Genre: eLearning

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PluralSight – Doing Data Science with Python

PluralSight – Doing Data Science with Python
English | Size: 908.60 MB
Category: Tutorial

If so, this course will equip you with concepts and tools that can bring you to speed and you can utilize the skills acquired in this course to work on any data science project in a standardized approach.

This course, Doing Data Science with Python, follows a pragmatic approach to tackle end-to-end data science project cycle right from extracting data from different types of sources to exposing your machine learning model as API endpoints that can be consumed in a real-world data solution. This course will not only help you to understand various data science related concepts, but also help you to implement the concepts in an industry standard approach by utilizing Python and related libraries. First, you will be introduced to the various stages of a typical data science project cycle and a standardized project template to work on any data science project. [Read more…]

Data Science & Analytics Career Paths & Certifications – First Steps

Data Science & Analytics Career Paths & Certifications – First Steps
English | Size: 194.58 MB
Category: CBTs

The career opportunities in data science, big data, and data analytics are growing dramatically. If you’re interested in changing career paths, determining the right course of study, or deciding if certification is worth your time, this course is for you.eeJungwoo Ryoo is a professor of information science and technology at Penn State. Here he reviews the history of data science and its subfields, explores the marketplaces for these fields, and reveals the five main skills areas: data mining, machine learning, natural language processing (NLP), statistics, and visualization. This leads to a discussion of the five biggest career opportunities, the six leading industry-recognized certifications available, and the most exciting emerging technologies. Along the way, Jungwoo discusses the importance of ethics and professional development, and provides pointers to online resources for learning more. [Read more…]

Data Science, Deep Learning, & Machine Learning with Python

Data Science, Deep Learning, & Machine Learning with Python
English | Size: 3.07 GB
Category: Career

What Will I Learn?

Develop using iPython notebooks
Understand statistical measures such as standard deviation
Visualize data distributions, probability mass functions, and probability density functions
Visualize data with matplotlib
Use covariance and correlation metrics
Apply conditional probability for finding correlated features
Use Bayes’ Theorem to identify false positives
Make predictions using linear regression, polynomial regression, and multivariate regression
Understand complex multi-level models
Use train/test and K-Fold cross validation to choose the right model [Read more…]

Packt Publishing – Basic Statistics and Data Mining for Data Science

Packt Publishing – Basic Statistics and Data Mining for Data Science
English | Size: 1.32 GB
Category: CBTs

This is an application-oriented course with a practical approach. This course discusses situations in which you would use each statistical technique, the assumptions made by the method, how to set up the analysis, and how to interpret the results. No proofs will be derived, but rather the focus will be on the practical matters of data analysis in support of answering research questions.
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Packt Publishing – Machine Learning for Data Science

Packt Publishing – Machine Learning for Data Science
English | Size: 4.39 GB
Category: CBTs

A primer on Machine Learning for Data Science. Revealed for everyday people, by the Backyard Data Scientist.

A 3 hour course that will help you to genuinely understand what Computer Science, Algorithms, Programming, Data, Big Data, Artificial Intelligence, Machine Learning, and Data Science is.

Unlock the secrets of understanding Machine Learning for Data Science! In this introductory course, the “Backyard Data Scientist” will guide you through wilderness of Machine Learning for Data Science. This introductory course not only explains Machine Learning, but where it fits in the “techno sphere around us”, why it’s important now, and how it will dramatically change our world today and for days to come. [Read more…]

O’Reilly – Trends in AI, Data Science, and Big Data (2017)

O’Reilly – Trends in AI, Data Science, and Big Data (2017)
English | Size: 0.99 GB
Category: Tutorial

In this video, O’Reilly’s Chief Data Scientist, Ben Lorica highlights some recent research initiatives and trends in data from both the AI community and the big data/data science world. Topics include: the emergence of deep learning as a general-purpose machine learning technique; strategies for overcoming the main bottlenecks in running successful AI/machine learning projects (i.e., lack of training data and deploying/monitoring models in production); the transition from offline to continuous learning (including reinforcement learning); and the emerging software and hardware infrastructure for AI and machine learning. This is a must-view for every data scientist, data architect/engineer, data/business analyst, and manager or CxO who wants to stay current in the rapidly evolving world of big data, data science, and AI. [Read more…]

Packt Publishing – Practical Python Data Science Techniques

Packt Publishing – Practical Python Data Science Techniques
English | Size: 489.80 MB
Category: Tutorial

Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise. [Read more…]