KDnuggets
JANUARY 16, 2020
With integrations of multiple emerging technologies just in the past year, AI development continues at a fast pace. Following the blueprint of science and technology advancements in 2019, we predict 10 trends we expect to see in 2020 and beyond.
Analytics Vidhya
DECEMBER 18, 2020
Introduction Data science is not a choice anymore. It is a necessity. 2020 is almost in the books now. What a crazy year from. The post A Review of 2020 and Trends in 2021 – A Technical Overview of Machine Learning and Deep Learning! appeared first on Analytics Vidhya.
Hacker News
AUGUST 4, 2020
Over the last few months, my colleague Unmesh Joshi has been running workshops to teach developers about distributed systems design. In this work he's been delving into many open-source distributed systems and identifying patterns. As he writes them up, he's publishing the patterns on my site. Today he's publishing an initial narrative article that ties the first batch of patterns together, and two of these patterns: Heartbeat and Generation Clock.
Smart Data Collective
NOVEMBER 25, 2020
Machine learning is transforming the financial sector more than anybody could have ever predicted. This technology might be more important than ever during the pandemic, as financial institutions discover that many traditional protocols aren’t nearly as effective. One of the most significant changes brought by advances in machine learning is with the loan underwriting process.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are le
Data Science 101
MARCH 18, 2020
The big cloud providers are expanding globally by adding more Global Regions. Google recently announced a new mountain west region. Plus, all the other providers have plans to expand globally. This got me wondering, which provider has the most global regions. I went to all the big cloud provider websites, and I was a bit surprised with the results. Google Cloud Regions.
Data Science Current brings together the best content for data science professionals from the widest variety of thought leaders.
Dataconomy
DECEMBER 18, 2020
The saying “knowledge is power” doesn’t just apply to individuals but also businesses. While individuals can learn from books and life lessons, businesses need a tool to gather market insights. This is where online data collection comes in. It is one of the best tools because it provides up-to-date and. The post Open and free online data collection will fuel future innovations appeared first on Dataconomy.
KDnuggets
MARCH 9, 2020
Upgrading your machine learning, AI, and Data Science skills requires practice. To practice, you need to develop models with a large amount of data. Finding good datasets to work with can be challenging, so this article discusses more than 20 great datasets along with machine learning project ideas for you to tackle today.
KDnuggets
JANUARY 8, 2020
The standard job description for a Data Scientist has long highlighted skills in R, Python, SQL, and Machine Learning. With the field evolving, these core competencies are no longer enough to stay competitive in the job market.
KDnuggets
JANUARY 7, 2020
Follow this overview of Natural Language Generation covering its applications in theory and practice. The evolution of NLG architecture is also described from simple gap-filling to dynamic document creation along with a summary of the most popular NLG models.
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Are you thinking of adding enhanced data matching and relationship detection to your product or service? Do you need to know more about what to look for when assessing your options? The Senzing Entity Resolution Buyer’s Guide gives you step-by-step details about everything you should consider when evaluating entity resolution technologies. You’ll learn about use cases, technology and deployment options, top ten evaluation criteria and more.
KDnuggets
JANUARY 9, 2020
This book is thought for beginners in Machine Learning, that are looking for a practical approach to learning by building projects and studying the different Machine Learning algorithms within a specific context.
KDnuggets
JANUARY 7, 2020
An estimated 8,650% growth of the volume of Data to 175 zetabytes from 2010 to 2025 has created an enormous need for Data Engineers to build an organization's big data platform to be fast, efficient and scalable.
KDnuggets
JANUARY 20, 2020
It’s easy to say "I wanna be a data scientist," but. where do you start? How much time is needed to be desired by companies? Do you need a Master’s degree? Do you need to know every mathematical concept ever derived? The journey might be long, but follow this plan to help you keep moving forward toward your career goal.
KDnuggets
MARCH 23, 2020
We examine the growth of coronavirus daily cases in most affected countries, and show evidence that social distancing works in reducing the rate of spread. We also analyze KDnuggets Poll results - the scale of change to online and how Data Science work is likely to increase or drop in different regions. Stay Healthy and practice social distancing!
KDnuggets
MARCH 19, 2020
Many cloud providers, and other third-party services, see the value of a Jupyter notebook environment which is why many companies now offer cloud hosted notebooks that are hosted on the cloud. Let's have a look at 3 such environments.
KDnuggets
MARCH 19, 2020
Where Test/Trace/Quarantine are working, the number of cases/day have declined empirically. Furthermore, this appears to be a radically superior strategy where it can be deployed. I’ll review the evidence, discuss the other strategies and their consequences, and then discuss what can be done.
KDnuggets
JANUARY 17, 2020
This article will tell you about the top 9 mobile apps that help the user in learning and practicing data science and hence is improving their productivity.
KDnuggets
MARCH 9, 2020
In this article, we are listing down some excellent data science books which cover the wide variety of topics under Data Science.
KDnuggets
MARCH 18, 2020
This article discusses distinguishing between real financial time series and synthetic time series using XGBoost.
KDnuggets
JANUARY 20, 2020
The new algorithm takes a novel approach to neural architecture search.
KDnuggets
MARCH 11, 2020
Let's talk about covid-19; the reality, the numbers, and the data science.
Analytics Vidhya
DECEMBER 15, 2020
Overview Here is a list of Top 15 Datasets for 2020 that we feel every data scientist should practice on The article contains 5. The post Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio! appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 11, 2020
Overview Here are 14 free data science books to get started and upgrade yourself on various fronts By no means is this an exhaustive. The post 14 Free Data Science Books to Add your list in 2020 to Upgrade Your Data Science Journey! appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 24, 2020
Overview Reducing company costs, generating customer insights & intelligence, and improving customer experiences are the three most popular ML and AI use cases Here. The post Top 14 Artificial Intelligence Startups to watch out for in 2021! appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 5, 2020
Introduction “In case you are only starting your journey, I suggest to read some great notebooks to understand what is interesting to people, then. The post Kaggle Grandmaster Series – Exclusive Interview with Andrey Lukyanenko (Notebooks and Discussions Grandmaster) appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 12, 2020
This article was published as a part of the Data Science Blogathon. Overview: Feature engineering is one of the most critical steps of the. The post Feature Engineering Using Pandas for Beginners appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 30, 2020
This article was published as a part of the Data Science Blogathon. Introduction We all have been hearing about the buzz word – “Data. The post Nervous about your first data science project! Here are 6 easy steps to get started! appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 16, 2020
Introduction Extracting knowledge from the data has always been an important task, especially when we want to make a decision based on data. But. The post Introduction to Clustering in Python for Beginners in Data Science appeared first on Analytics Vidhya.
Analytics Vidhya
NOVEMBER 1, 2020
Introduction to Machine Learning Machine Learning is the crux of Artificial Intelligence. With increasing developments in AI, IoT and other smart technologies, machine learning. The post How Can You Build a Career in Data Science & Machine Learning? appeared first on Analytics Vidhya.
Analytics Vidhya
DECEMBER 10, 2020
Overview Here is a list of 15 Free Data Science Courses to get you going initially These are well-curated courses. Please probe the resources. The post Top 15 Free Data Science Courses to Kick Start your Data Science Journey! appeared first on Analytics Vidhya.
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