15 Free Machine Learning and Deep Learning Books
KDnuggets
OCTOBER 31, 2022
Check out this list of 15 FREE ebooks for learning machine learning and deep learning.
October, 2022
400 
Non-Generalization and Generalization of Machine learning Models
Analytics Vidhya
OCTOBER 28, 2022
This article was published as a part of the Data Science Blogathon. Introduction The generalization of machine learning models is the ability of a model to classify or forecast new data. When we train a model on a dataset, and the model is provided with new data absent from the trained set, it may perform […]. The post Non-Generalization and Generalization of Machine learning Models appeared first on Analytics Vidhya.
Join 17,000+
professionals
Sign Up for our Newsletter
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
The war never ends on the cyber front
Dataconomy
OCTOBER 11, 2022
Cyber terrorism actors use the internet to carry out violent activities that cause or threaten serious physical harm or the loss of life to advance political or ideological goals through intimidation or threat. Internet terrorism can take the form of planned, widespread disruption of computer networks, particularly personal computers connected.
Bliki: ConwaysLaw
Hacker News
OCTOBER 20, 2022
Pretty much all the practitioners I favor in Software Architecture are deeply suspicious of any kind of general law in the field. Good software architecture is very context-specific, analyzing trade-offs that resolve differently across a wide range of environments. But if there is one thing they all agree on, it's the importance and power of Conway's Law.
What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?
Speaker: Tamara Fingerlin, Developer Advocate
Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.
AI Data, Traditional Trading, and Modern Investments
Smart Data Collective
OCTOBER 31, 2022
Artificial intelligence is drastically changing the future of finance. Financial institutions spent over $10.1 billion on AI last year. One of the many ways that AI is being leveraged in finance is by helping improve the experience of investors. Modern investors enjoy a much smoother trading experience than their predecessors. Thanks to the invention of the internet, everything from conducting trades to downloading comprehensive reports can be completed almost instantly.
What Is Hyperautomation?
O'Reilly Media
OCTOBER 11, 2022
Gartner has anointed “Hyperautomation” one of the top 10 trends for 2022. Should it be? Is it a real trend, or just a collection of buzzwords? As a trend, it’s not performing well on Google; it shows little long-term growth, if any, and gets nowhere near as many searches as terms like “Observability” and “Generative Adversarial Networks.” And it’s never bubbled up far enough into our consciousness to make it into our monthly Trends piece.
Sign up to get articles personalized to your interests!
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
More Trending
Three R Libraries for Automated EDA
Analytics Vidhya
OCTOBER 7, 2022
This article was published as a part of the Data Science Blogathon. Introduction With the increasing use of technology, data accumulation is faster than ever due to connected smart devices. These devices continuously collect and transmit data that can be processed, transformed, and stored for later use. This collected data, known as big data, holds valuable […].
Data and AI shape industries and create new opportunities
Dataconomy
OCTOBER 12, 2022
Data analytics and artificial intelligence are changing how businesses decide their paths today. All we hear about is data these days. We hear about how much is produced, how crucial it is, and how corporations use it to further their objectives and boost profits. Yet how? Yes, much of it.
Introduction to Data Science, an open source book
FlowingData
OCTOBER 13, 2022
Introduction to Data Science , by Harvard biostatistics professor Rafael A. Irizarry, is an open source book that provides, as you might have guessed, an introduction to data science: The demand for skilled data science practitioners in industry, academia, and government is rapidly growing. This book introduces concepts and skills that can help you tackle real-world data analysis challenges.
What is Data Pipeline? A Detailed Explanation
Smart Data Collective
OCTOBER 17, 2022
Big data is shaping our world in countless ways. Data powers everything we do. Exactly why, the systems have to ensure adequate, accurate and most importantly, consistent data flow between different systems. Pipeline, as it sounds, consists of several activities and tools that are used to move data from one system to another using the same method of data processing and storage.
Agent Tooling: Connecting AI to Your Tools, Systems & Data
Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage
There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.
The History of Tipping in Restaurants: The Complicated Past, Present, and Future
Hacker News
OCTOBER 26, 2022
When you dine out at a restaurant, you tip your server. It's the expectation and an essential part of how restaurant workers earn a living. A guest's tip subsidizes wages for most of America's restaurant workers. It's a reality that only exists in North America—the United States and Canada. In most other parts of the world, tips are not expected—and in some cases, it's considered rude to tip.
Easy Guide To Data Preprocessing In Python
KDnuggets
OCTOBER 24, 2022
Preprocessing data for machine learning models is a core general skill for any Data Scientist or Machine Learning Engineer. Follow this guide using Pandas and Scikit-learn to improve your techniques and make sure your data leads to the best possible outcome.
A Quick Guide to Blockchain: Merkle Tree
Analytics Vidhya
OCTOBER 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction A Merkle tree is a basic component of blockchain technology. It is a mathematical data structure composed of hashes of different data blocks that serve as a summary of all transactions in the block. It also enables efficient and secure verification of […]. The post A Quick Guide to Blockchain: Merkle Tree appeared first on Analytics Vidhya.
Biggest roadblocks that AI-powered drug development faced in 2022
Dataconomy
OCTOBER 31, 2022
AI-powered drug development can shorten the time it takes to acquire and access information, cutting pharmaceutical development time in half and keeping the cost of new medications under control. This is becoming increasingly crucial as the cost of discovering and developing new drugs rises. Despite several accomplishments, certain challenges must.
How to Modernize Manufacturing Without Losing Control
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
? The Process of Finding Data
FlowingData
OCTOBER 20, 2022
Welcome to issue #211 of The Process , where we look closer at how the charts get made. I’m Nathan Yau, and this week I’m thinking about the process of finding data, because without data, there is no visualization. Become a member for access to this — plus tutorials, courses, and guides.
Cloud Technology Helps Students Earn Higher SAT Scores
Smart Data Collective
OCTOBER 8, 2022
Cloud technology is changing some of the most core aspects of our lives. A growing number of students are finding ways to leverage the cloud to improve their learning experience. Education Technology Magazine has published an article on some of the most surprising ways that cloud technology is changing academia. Most of their focus was on their focus has been on the benefits of using cloud technology from the standpoint of educators.
The Collaborative Spirit Behind Brian Eno’s Record Sleeve Designs
Hacker News
OCTOBER 17, 2022
It was Brian Eno who invented the term ‘ scenius ,’ which counters the myth of the lone genius and credits the collective effort. There might be one name on the front of the record sleeve, though there’s usually a whole cast of important contributors with their names written in tiny lettering somewhere on the inlay sleeve: the scene , as it were. Eno often appears to have a unique perspective on the world we live in, though he’s canny enough to always find other great people to work with in orde
Top 10 MLOps Tools to Optimize & Manage Machine Learning Lifecycle
KDnuggets
OCTOBER 25, 2022
As more businesses experiment with data, they realize that developing a machine learning (ML) model is only one of many steps in the ML lifecycle.
Automation, Evolved: Your New Playbook for Smarter Knowledge Work
Speaker: Frank Taliano
Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.
Famous Concurrency Problems in DBMS
Analytics Vidhya
OCTOBER 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Concurrency in DBMS refers to the ability of the system to support multiple transactions concurrently without any data loss or corruption. In a concurrent system, numerous transactions can access and modify the data simultaneously. Each transaction is isolated from other transactions, so […].
Best artificial intelligence tools to improve productivity in 2022
Dataconomy
OCTOBER 28, 2022
Artificial intelligence tools are having an ever-increasing effect on our technology, often in unexpected ways. Many of the most contemporary AI technologies are open to anybody who wants to utilize them, with or without a computer science degree. We’ve produced a list of some of our current favorites that might.
Wide range of data exploration tools
FlowingData
OCTOBER 3, 2022
Simon Willison asked a straightforward question about the tools people use : If someone gives you a CSV file with 100,000 rows in it, what tools do you use to start exploring and understanding that data? Then he expanded the question asking what people use for files with 1 million rows, 10 million rows, and 1 billion rows. Browse the thousands of replies, and you quickly see that (1) there are many options to explore a dataset and (2) many people feel that what they’re using is the best op
How Formula 1 Teams Leverage Big Data for Success
Smart Data Collective
OCTOBER 1, 2022
We have previously talked about ways that big data is changing the world of sports. Formula 1 teams are among those most affected. Ever since the Oakland A’s switched their recruitment policy from a players’ running speed and strength to a more sophisticated and nuanced look at the on-base slugging percentage, the world of sports has become more and more accustomed to utilizing sports analytics in their team-building.
The 2nd Generation of Innovation Management: A Survival Guide
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Frameworks for Approaching the Machine Learning Process
KDnuggets
OCTOBER 19, 2022
This post is a summary of 2 distinct frameworks for approaching machine learning tasks, followed by a distilled third. Do they differ considerably (or at all) from each other, or from other such processes available?
Working With Sparse Features In Machine Learning Models
KDnuggets
OCTOBER 17, 2022
Sparse features can cause problems like overfitting and suboptimal results in learning models, and understanding why this happens is crucial when developing models. Multiple methods, including dimensionality reduction, are available to overcome issues due to sparse features.
Sparse Matrix Representation in Python
KDnuggets
OCTOBER 14, 2022
Leveraging sparse matrix representations for your data when appropriate can spare you memory storage. Have a look at the reasons why, see how to create sparse matrices in with Python, and compare the memory requirements for standard and sparse representations of the same data.
Explaining Explainable AI for Conversations
KDnuggets
OCTOBER 14, 2022
Something is missing in artificial intelligence – trust.
Optimizing The Modern Developer Experience with Coder
Advertisement
Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Mathematics for Machine Learning: The Free eBook
KDnuggets
OCTOBER 14, 2022
Check out this free ebook covering the fundamentals of mathematics for machine learning, as well as its companion website of exercises and Jupyter notebooks.
7 Free Platforms for Building a Strong Data Science Portfolio
KDnuggets
OCTOBER 17, 2022
Outshine others and increase your odds of getting hired by maintaining a data science portfolio with projects, resumes, blogs, and reports.
The Complete Free PyTorch Course for Deep Learning
KDnuggets
OCTOBER 12, 2022
Do you want to learn PyTorch for machine learning and deep learning? Check out this 24 hour long video course with accompanying notes and courseware for free. Did I mention it's free?
How to Build a Data Science Enablement Team: A Complete Guide
KDnuggets
OCTOBER 11, 2022
A Data Science Enablement Team consists of people from various departments like marketing, sales, product development, etc. They are responsible for providing the necessary tools and resources to help the data scientists do their job more efficiently.
Apache Airflow® Best Practices: DAG Writing
Speaker: Tamara Fingerlin, Developer Advocate
In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!
Let's personalize your content