Search results for aas

Found 178 documents, 5922 searched:

• SaaS Analytics Solutions

  Analytics 1305, provides scalable machine learning software for large data; specializing in non-parametric methods, such as nearest neighbors, kernel density estimation, local regression, support vector Read more »

  https://www.kdnuggets.com/solutions/saas-analytics.html

• Cloud Analytics and SaaS Providers

  Algorithms.io, offering API to embed popular machine learning algorithms into applications; R as a service. Alpine Data Labs, helps you uncover the predictive analytic power Read more »

  https://www.kdnuggets.com/companies/cloud-analytics-saas.html

• Level Up with DataCamp’s New Azure Certification

  Enhance your data profession by learning Azure, a high-demand skill and expertise.

  https://www.kdnuggets.com/level-up-with-datacamps-new-azure-certification

• Mastering Python for Data Science: Beyond the Basics

  This article serves as a detailed guide on how to master advanced Python techniques for data science. It covers topics such as efficient data manipulation with Pandas, parallel processing with Python, and how to turn models into web services.

  https://www.kdnuggets.com/mastering-python-for-data-science-beyond-the-basics

• 3 Inspirational Stories of Leaders in AI

  Every leader has their origin story, and here are some that might inspire you.

  https://www.kdnuggets.com/3-inspirational-stories-of-leaders-in-ai

• Level 50 Data Scientist: Python Libraries to Know

  This article will help you understand the different tools of Data Science used by experts for Data Visualization, Model Building, and Data Manipulation.

  https://www.kdnuggets.com/level-50-data-scientist-python-libraries-to-know

• Remote Work in Data Science: Pros and Cons

  In this post we explored the potential challenges and pitfalls of remote work in data science.

  https://www.kdnuggets.com/remote-work-in-data-science-pros-and-cons

• Top Companies in India to Consider for Employment

  If you’re looking for a job, want to shift careers, or start a new chapter and currently reside in India. Check out these top 7 companies to consider for employment in India for 2023/24.

  https://www.kdnuggets.com/top-companies-in-india-to-consider-for-employment

• AI and Open Source Software: Separated at Birth?

  In this article, Luis shares with readers his thoughts on the intersection of open source software and machine learning and what the future might bring. Many articles cover how open source software is used by the machine learning community but this post focuses on the similarities between the two areas of practice and what machine learning can and can’t learn from open source software.

  https://www.kdnuggets.com/ai-and-open-source-software-separated-at-birth

• Top 7 Free Cloud Notebooks for Data Science

  Cloud notebooks are game-changers for data science, providing free access to computing, pre-built environments, collaboration features, and third-party integrations - everything you need to enhance your workflow.

  https://www.kdnuggets.com/top-7-free-cloud-notebooks-for-data-science

• How Generative AI is disrupting data practices

  The release of Language Learning Model (LLM) ChatGPT by OpenAI in November of last year opened the floodgates leading to alternatives including Google Bard and Microsoft Bing and Gen AI has proved massively disruptive, with businesses seeking to explore how they can apply the technology.

  https://www.kdnuggets.com/2023/09/reed-generative-ai-disrupting-data-practices

• How Cloud Computing Enhances Data Science Workflows

  Cloud computing offers the efficiency, scalability, and security data science workflows need. Discover how it provides these benefits here.

  https://www.kdnuggets.com/2023/08/cloud-computing-enhances-data-science-workflows.html

• How to Build a Streaming Semi-structured Analytics Platform on Snowflake

  Building a datalake for semi-structured data or json has always been challenging. Imagine if the json documents are streaming or continuously flowing from healthcare vendors then we need a robust modern architecture that can deal with such a high volume. At the same time analytics layer also needs to be created so as to generate value from it.

  https://www.kdnuggets.com/2023/07/build-streaming-semistructured-analytics-platform-snowflake.html

• ChatGPT Plugins: Everything You Need To Know

  Learn more about the third-party plugins that OpenAI have rolled out to understand ChatGPTs in real-world use.

  https://www.kdnuggets.com/2023/06/chatgpt-plugins-everything-need-know.html

• A List of 7 Best Data Modeling Tools for 2023

  Learn about data modeling tools to create, design and manage data models, allowing data scientists to access and use them more quickly.

  https://www.kdnuggets.com/2023/03/list-7-best-data-modeling-tools-2023.html

• 5 Ways to Deal with the Lack of Data in Machine Learning

  Effective solutions exist when you don't have enough data for your models. While there is no perfect approach, five proven ways will get your model to production.

  https://www.kdnuggets.com/2019/06/5-ways-lack-data-machine-learning.html

• From Data Collection to Model Deployment: 6 Stages of a Data Science Project

  Here are 6 stages of a novel Data Science Project; From Data Collection to Model in Production, backed by research and examples.

  https://www.kdnuggets.com/2023/01/data-collection-model-deployment-6-stages-data-science-project.html

• Beginner’s Guide to Cloud Computing

  Learn how cloud computing works, different types of models, top cloud platforms, and applications.

  https://www.kdnuggets.com/2023/01/beginner-guide-cloud-computing.html

• Where Collaboration Fails Around Data (And 4 Tips for Fixing It)

  Data-driven organizations require complex collaboration between data teams and business stakeholders. Here are 4 proactive tips for reducing information asymmetries and achieving better collaboration.

  https://www.kdnuggets.com/2023/01/collaboration-fails-around-data-4-tips-fixing.html

• Key Data Science, Machine Learning, AI and Analytics Developments of 2022

  It's the end of the year, and so it's time for KDnuggets to assemble a team of experts and get to the bottom of what the most important data science, machine learning, AI and analytics developments of 2022 were.

  https://www.kdnuggets.com/2022/12/key-data-science-machine-learning-ai-analytics-developments-2022.html

• The Complete Machine Learning Study Roadmap

  Find out where you need to be to start your Machine Learning journey and what you need to do to succeed in the field.

  https://www.kdnuggets.com/2022/12/complete-machine-learning-study-roadmap.html

• What is a Function?

  This guide will help you understand the concepts of Javascript functions and their structure.

  https://www.kdnuggets.com/2022/11/function.html

• The Complete Data Engineering Study Roadmap

  Everything you need to know to start your career in Data Engineering.

  https://www.kdnuggets.com/2022/11/complete-data-engineering-study-roadmap.html

• Getting Deep Learning working in the wild: A Data-Centric Course

  Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.

  https://www.kdnuggets.com/2022/11/corise-deep-learning-wild-data-centric-course.html

• 9 Skills You Need to Become a Data Engineer

  A data engineer is a fast-growing profession with amazing challenges and rewards. Which skills do you need to become a data engineer? In this post, we’ll take a look at both hard and soft skills.

  https://www.kdnuggets.com/2021/03/9-skills-become-data-engineer.html

• Is OLAP Dead?

  OLAP enables citizen analysts to quickly, efficiently, and cost-effectively uncover new business insights at a reduced time-to-value.

  https://www.kdnuggets.com/2022/10/olap-dead.html

• Everything You Need to Know About Data Lakehouses

  Learn everything you need to know about data lakehouses.

  https://www.kdnuggets.com/2022/09/everything-need-know-data-lakehouses.html

• How CoRise Helped Ben Wilson Land a New Job as a Analytics Engineer (and a Side Gig in Doodling)

  In this practical modern data stack course, you will implement a dbt project on a data warehouse from scratch and with a lot of support along the way!

  https://www.kdnuggets.com/2022/08/corise-land-new-job-analytics-engineer.html

• Why Emily Ekdahl chose co:rise to level up her job performance as a machine learning engineer

  Find out what one of the first learners to complete the co:rise Machine Learning Foundations track said about her experience in the track and what she’s tackling next when she recently talked to Julia Stiglitz, co:rise co-founder and CEO.

  https://www.kdnuggets.com/2022/08/corise-emily-ekdahl-chose-corise-level-job-performance-machine-learning-engineer.html

• 90% of Today’s Code is Written to Prevent Failure, and That’s a Problem

  Trying to anticipate and defend against these failures is the constant uphill battle that today’s engineers are up against. But it doesn’t have to be.

  https://www.kdnuggets.com/2022/07/90-today-code-written-prevent-failure-problem.html

• Introducing Objectiv: Open-source product analytics infrastructure

  Collect validated user behavior data that’s ready to model on without prepwork. Take models built on one dataset and deploy & run them on another.

  https://www.kdnuggets.com/2022/06/objectiv-introducing-objectiv-opensource-product-analytics-infrastructure.html

• Top 15 Books to Master Data Strategy

  In this article, we outline 15 books on topics ranging from the technical to the non-technical, to help you improve your understanding of end-to-end best practices related to data.

  https://www.kdnuggets.com/2022/06/top-15-books-master-data-strategy.html

• Every Engineer Should and Can Learn Machine Learning

  Read this interview with Sourabh Bajaj of co:rise, discussing the evolution of the ML role, how he designed the course to connect with today’s business needs, and how he thinks students can apply the covered topics at the end of each course!

  https://www.kdnuggets.com/2022/06/corise-every-engineer-learn-machine-learning.html

• 6 Things You Need To Know About Data Management And Why It Matters For Computer Vision

  This article will explore a few areas that we feel are essential when assessing data management solutions for computer vision.

  https://www.kdnuggets.com/2022/05/6-things-need-know-data-management-matters-computer-vision.html

• The 6 Python Machine Learning Tools Every Data Scientist Should Know About

  Let's look at six must-have tools every data scientist should use.

  https://www.kdnuggets.com/2022/05/6-python-machine-learning-tools-every-data-scientist-know.html

• Software Developer vs Software Engineer

  The terms developer and engineer are used synonymously, making it difficult to understand the difference between the two in the midst of a conversation.

  https://www.kdnuggets.com/2022/05/software-developer-software-engineer.html

• MLOps: The Best Practices and How To Apply Them

  Here are some of the best practices for implementing MLOps successfully.

  https://www.kdnuggets.com/2022/04/mlops-best-practices-apply.html

• Getting Deep Learning working in the wild: A Data-Centric Course

  Data-centric learning resources are somewhat scattered today, and that’s why we developed a new Data Centric Deep Learning course on the co:rise education platform. It is an introduction to a set of approaches and best practices, for people who are trying to do deep learning in the wild.

  https://www.kdnuggets.com/2022/04/corise-deep-learning-wild-data-centric-course.html

• 4 Factors to Identify Machine Learning Solvable Problems

  The near future holds incredible possibility for machine learning to solve real world problems. But we need to be be able to determine which problems are solvable by ML and which are not.

  https://www.kdnuggets.com/2022/04/4-factors-identify-machine-learning-solvable-problems.html

• SQL Window Functions

  In this article, we’ll go over SQL window functions and how to use them when writing SQL queries.

  https://www.kdnuggets.com/2022/04/sql-window-functions.html

• People Management for AI: Building High-Velocity AI Teams

  Practical advice for managers and directors who are looking to build AI/ML teams.

  https://www.kdnuggets.com/2022/03/people-management-ai-building-highvelocity-ai-teams.html

• Data Science Programming Languages and When To Use Them

  Read this guide through the most common data science programming languages and when to use them in data science.

  https://www.kdnuggets.com/2022/02/data-science-programming-languages.html

• Data Warehousing with Snowflake for Beginners

  This tutorial provides only a brief synopsis of the data warehouse in Snowflake, which we will go through in more detail.

  https://www.kdnuggets.com/2022/02/data-warehousing-snowflake-beginners.html

• Transfer Learning for Image Recognition and Natural Language Processing

  Read the second article in this series on Transfer Learning, and learn how to apply it to Image Recognition and Natural Language Processing.

  https://www.kdnuggets.com/2022/01/transfer-learning-image-recognition-natural-language-processing.html

• What Makes Python An Ideal Programming Language For Startups">What Makes Python An Ideal Programming Language For Startups

  In this blog, we will discuss what makes Python so popular, its features, and why you should consider Python as a programming language for your startup.

  https://www.kdnuggets.com/2021/12/makes-python-ideal-programming-language-startups.html

• The Seven Best ELT Tools for Data Warehouses

  ELT helps to streamline the process of modern data warehousing and managing a business’ data. In this post, we’ll discuss some of the best ELT tools to help you clean and transfer important data to your data warehouse.

  https://www.kdnuggets.com/2021/12/mozart-seven-best-elt-tools-data-warehouses.html

• Sentiment Analysis with KNIME

  Check out this tutorial on how to approach sentiment classification with supervised machine learning algorithms.

  https://www.kdnuggets.com/2021/11/sentiment-analysis-knime.html

• Stop Blaming Humans for Bias in AI

  Can artificial intelligence be rid of bias? This is an important question, and it’s equally important that we look in the right place for the answer.

  https://www.kdnuggets.com/2021/11/stop-blaming-humans-bias-ai.html

• What’s missing from self-serve BI and what we can do about it

  The notion of self-service BI tools caught an expectation that they could provide a magic formula for easily helping everyone understand all the data. But, such an end-result isn't occurring in practice. To identify a better approach, we need to take a step back and determine what problem is actually trying to be solved.

  https://www.kdnuggets.com/2021/11/missing-self-serve-bi.html

• How to Transform Your Data in Snowflake

  Data transformation is the biggest bottleneck in the analytics workflow. The modern approach to data pipelines is ELT, or extract, transform, and load, with data transformation performed in your Snowflake data warehouse. A new breed of “no-/low-code” data transformation tools, such as Datameer, are emerging to allow the wider analytics community to transform data on their own, eliminating analytics bottlenecks.

  https://www.kdnuggets.com/2021/10/datameer-transform-data-snowflake.html

• What Is The Real Difference Between Data Engineers and Data Scientists?

  To launch your data career, you’ll need both theoretical knowledge and applied skills. Bootcamp programs like Springboard’s Data Science Career Track and Data Engineering Career Track can help make you job-ready through hands-on, project-based learning and one-on-one mentorship. Wondering which data career path is right for you? Read on to find out.

  https://www.kdnuggets.com/2021/09/springboard-difference-data-engineers-data-scientists.html

• Data Science Project Infrastructure: How To Create It

  The intension for most data science projects is to build something that people use. Creating something purposeful requires a solid infrastructure and processes that keeps problem-solving front-and-center for your audience.

  https://www.kdnuggets.com/2021/08/data-science-project-infrastructure.html

• Coding Ethics for AI & AIOps: Designing Responsible AI Systems

  AI ops has taken Human machine collaboration to the next level where humans and machines are not just coexisting but are collaborating and working together like team members.

  https://www.kdnuggets.com/2021/08/coding-ethics-ai-aiops-designing-responsible-ai-systems.html

• Django’s 9 Most Common Applications">Django’s 9 Most Common Applications

  Django is a Python web application framework enjoying widespread adoption in the data science community. But what else can you use Django for? Read this article for 9 use cases where you can put Django to work.

  https://www.kdnuggets.com/2021/08/django-9-common-applications.html

• MLOps And Machine Learning Roadmap

  A 16–20 week roadmap to review machine learning and learn MLOps.

  https://www.kdnuggets.com/2021/08/mlops-machine-learning-roadmap.html

• How To Transition From Data Freelancer to Data Entrepreneur (Almost Overnight)

  Data freelancers trade hours for dollars while data entrepreneurs have found a way to make money while they sleep. Ready to make the transition? Keep reading to learn how to do it as SEAMLESSLY and PROFITABLY as possible.

  https://www.kdnuggets.com/2021/07/transition-data-freelancer-data-entrepreneur-overnight.html

• Predict Customer Churn (the right way) using PyCaret

  A step-by-step guide on how to predict customer churn the right way using PyCaret that actually optimizes the business objective and improves ROI.

  https://www.kdnuggets.com/2021/07/pycaret-predict-customer-churn-right-way.html

• BigQuery vs Snowflake: A Comparison of Data Warehouse Giants

  In this article we are going to compare the two topmost data warehouses: BigQuery and Snowflake.

  https://www.kdnuggets.com/2021/06/bigquery-snowflake-comparison-data-warehouse-giants.html

• Choosing the Right BI Tool for Your Business

  Here are six questions to ask as you search for the best BI tool for your specific needs.

  https://www.kdnuggets.com/2021/05/choosing-right-bi-tool-business.html

• How to pitch to VCs, explained: The Deck We Used to Raise Capital For Our Open-Source ELT Platform

  Winning seed funding from venture capitalists is a daunting task, and the pitch is key. Learn how one effective slide deck resulted in a successful early funding round for an open-source start-up, Airbyte.

  https://www.kdnuggets.com/2021/05/vc-pitch-deck-open-source-elt-platform.html

• A checklist to track your Data Science progress">A checklist to track your Data Science progress

  Whether you are just starting out in data science or already a gainfully-employed professional, always learning more to advance through state-of-the-art techniques is part of the adventure. But, it can be challenging to track of your progress and keep an eye on what's next. Follow this checklist to help you scale your expertise from entry-level to advanced.

  https://www.kdnuggets.com/2021/05/checklist-data-science-progress.html

• Overview of MLOps

  Building a machine learning model is great, but to provide real business value, it must be made useful and maintained to remain useful over time. Machine Learning Operations (MLOps), overviewed here, is a rapidly growing space that encompasses everything required to deploy a machine learning model into production, and is a crucial aspect to delivering this sought after value.

  https://www.kdnuggets.com/2021/03/overview-mlops.html

• Top YouTube Machine Learning Channels

  These are the top 15 YouTube channels for machine learning as determined by our stated criteria, along with some additional data on the channels to help you decide if they may have some content useful for you.

  https://www.kdnuggets.com/2021/03/top-youtube-machine-learning-channels.html

• A Critical Comparison of Machine Learning Platforms in an Evolving Market

  There’s a clear inclination towards the MLaaS model across industries, given the fact that companies today have an option to select from a wide range of solutions that can cater to diverse business needs. Here is a look at 3 of the top ML platforms for data excellence.

  https://www.kdnuggets.com/2021/02/critical-comparison-machine-learning-platforms-evolving-market.html

• AI and Automation meets BI">AI and Automation meets BI

  Organizations use a variety of BI tools to analyze structured data. These tools are used for ad-hoc analysis, and for dashboards and reports that are essential for decision making. In this post, we describe a new set of BI tools that continue this trend.

  https://www.kdnuggets.com/2020/11/ai-automation-meets-bi.html

• 5 Most Useful Machine Learning Tools every lazy full-stack data scientist should use

  If you consider yourself a Data Scientist who can take any project from data curation to solution deployment, then you know there are many tools available today to help you get the job done. The trouble is that there are too many choices. Here is a review of five sets of tools that should turn you into the most efficient full-stack data scientist possible.

  https://www.kdnuggets.com/2020/11/5-useful-machine-learning-tools.html

• 5 Best Practices for Putting Machine Learning Models Into Production

  Our focus for this piece is to establish the best practices that make an ML project successful.

  https://www.kdnuggets.com/2020/10/5-best-practices-machine-learning-models-production.html

• Comparing the Top Business Intelligence Tools: Power BI vs Tableau vs Qlik vs Domo

  How smart are your organizations’ decisions? Do you have the right information to make those decisions in the first place?

  https://www.kdnuggets.com/2020/10/comparing-top-business-intelligence-tools.html

• Artificial Intelligence for Precision Medicine and Better Healthcare

  In this article, we will focus on various machine learning, deep learning models, and applications of AI which can pave the way for a new data-centric era of discovery in healthcare.

  https://www.kdnuggets.com/2020/09/artificial-intelligence-precision-medicine-better-healthcare.html

• MathWorks Deep learning workflow: tips, tricks, and often forgotten steps

  Getting started in deep learning – and adopting an organized, sustainable, and reproducible workflow – can be challenging. This blog post will share some tips and tricks to help you develop a systematic, effective, attainable, and scalable deep learning workflow as you experiment with different deep learning models, datasets, and applications.

  https://www.kdnuggets.com/2020/09/mathworks-deep-learning-workflow.html

• Content-Based Recommendation System using Word Embeddings

  This article explores how average Word2Vec and TF-IDF Word2Vec can be used to build a recommendation engine.

  https://www.kdnuggets.com/2020/08/content-based-recommendation-system-word-embeddings.html

• A Tour of End-to-End Machine Learning Platforms

  An end-to-end machine learning platform needs a holistic approach. If you’re interested in learning more about a few well-known ML platforms, you’ve come to the right place!

  https://www.kdnuggets.com/2020/07/tour-end-to-end-machine-learning-platforms.html

• Building a Content-Based Book Recommendation Engine

  In this blog, we will see how we can build a simple content-based recommender system using Goodreads data.

  https://www.kdnuggets.com/2020/07/building-content-based-book-recommendation-engine.html

• Deploy Machine Learning Pipeline on AWS Fargate">Deploy Machine Learning Pipeline on AWS Fargate

  A step-by-step beginner’s guide to containerize and deploy ML pipeline serverless on AWS Fargate.

  https://www.kdnuggets.com/2020/07/deploy-machine-learning-pipeline-aws-fargate.html

• Build and deploy your first machine learning web app">Build and deploy your first machine learning web app

  A beginner’s guide to train and deploy machine learning pipelines in Python using PyCaret.

  https://www.kdnuggets.com/2020/05/build-deploy-machine-learning-web-app.html

• State of the Machine Learning and AI Industry

  Enterprises are struggling to launch machine learning models that encapsulate the optimization of business processes. These are now the essential components of data-driven applications and AI services that can improve legacy rule-based business processes, increase productivity, and deliver results. In the current state of the industry, many companies are turning to off-the-shelf platforms to increase expectations for success in applying machine learning.

  https://www.kdnuggets.com/2020/04/machine-learning-ai-industry.html

• ModelDB 2.0 is here!

  We are excited to announce that ModelDB 2.0 is now available! We have learned a lot since building ModelDB 1.0, so we decided to rebuild from the ground up.

  https://www.kdnuggets.com/2020/03/verta-modeldb-20.html

• The Most Useful Machine Learning Tools of 2020

  This articles outlines 5 sets of tools every lazy full-stack data scientist should use.

  https://www.kdnuggets.com/2020/03/most-useful-machine-learning-tools-2020.html

• How To Build Your Own Feedback Analysis Solution

  Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.

  https://www.kdnuggets.com/2020/03/build-feedback-analysis-solution.html

• Sharing your machine learning models through a common API

  DEEPaaS API is a software component developed to expose machine learning models through a REST API. In this article we describe how to do it.

  https://www.kdnuggets.com/2020/02/sharing-machine-learning-models-common-api.html

• Managing Machine Learning Cycles: Five Learnings from comparing Data Science Experimentation/ Collaboration Tools

  Machine learning projects require handling different versions of data, source code, hyperparameters, and environment configuration. Numerous tools are on the market for managing this variety, and this review features important lessons learned from an ongoing evaluation of the current landscape.

  https://www.kdnuggets.com/2020/01/managing-machine-learning-cycles.html

• Google’s New Explainable AI Service">Google’s New Explainable AI Service

  Google has started offering a new service for “explainable AI” or XAI, as it is fashionably called. Presently offered tools are modest, but the intent is in the right direction.

  https://www.kdnuggets.com/2019/12/googles-new-explainable-ai-service.html

• Advice for New and Junior Data Scientists

  If you are a new Data Scientist early in your professional journey, and you’re a bit confused and lost, then follow this advice to figure out how to best contribute to your company.

  https://www.kdnuggets.com/2019/11/advice-new-junior-data-scientists.html

• Three Methods of Data Pre-Processing for Text Classification

  This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.

  https://www.kdnuggets.com/2019/11/ibm-data-preprocessing-text-classification.html

• How to Make an Agile Team Work for Big Data Analytics

  Learn how to approach the challenges when merging an agile methodology into a data science team to bring out the best value for your Big Data products.

  https://www.kdnuggets.com/2019/10/agile-team-big-data-analytics.html

• AutoML for Temporal Relational Data: A New Frontier

  While AutoML started out as an automation approach to develop optimal machine learning pipelines, extensions of AutoML to Data Science embedded products can now enable the processing of much more, including temporal relational data.

  https://www.kdnuggets.com/2019/10/automl-temporal-relational-data.html

• Everything a Data Scientist Should Know About Data Management">Everything a Data Scientist Should Know About Data Management

  For full-stack data science mastery, you must understand data management along with all the bells and whistles of machine learning. This high-level overview is a road map for the history and current state of the expansive options for data storage and infrastructure solutions.

  https://www.kdnuggets.com/2019/10/data-scientist-data-management.html

• Four questions to help accurately scope analytics engineering project

  Being really good at scoping analytics projects is crucial for team productivity and profitability. You can consistently deliver on time if you work out the issue first, and these four questions can help you prepare.

  https://www.kdnuggets.com/2019/10/four-questions-scope-analytics-engineering-project.html

• What is Machine Behavior?

  The new emerging field that wants to study AI agents the way social scientists study humans.

  https://www.kdnuggets.com/2019/09/machine-behavior.html

• A 2019 Guide to Speech Synthesis with Deep Learning

  In this article, we’ll look at research and model architectures that have been written and developed to do just that using deep learning.

  https://www.kdnuggets.com/2019/09/2019-guide-speech-synthesis-deep-learning.html

• Jobs in Data Science, Machine Learning, AI & Analytics

  To add a free short entry here for a job related to Data Science, Machine Learning, AI or Analytics, email the following 5 items to Read more »

  https://www.kdnuggets.com/jobs/index.html

• What’s the Best Data Strategy for Enterprises: Build, buy, partner or acquire?

  Every large organization is investing heavily in building data solutions and tools. They are building data solutions from scratch when they could be taking advantage of readily available tools and solutions. Many organizations are re-inventing the wheel and wasting resources.

  https://www.kdnuggets.com/2019/07/best-data-strategy-enterprises-build-buy-partner-acquire.html

• Big Data for Insurance

  The insurance industry has always been quite conservative; however, the adoption of new technologies is not just a modern trend but a necessity to maintain the competitive pace. In the modern digital era, Big Data technologies help to process vast amounts of information, increase workflow efficiency, and reduce operational costs. Learn more about the benefits of Big Data for insurance from our material.

  https://www.kdnuggets.com/2019/07/big-data-insurance.html

• The Death of Big Data and the Emergence of the Multi-Cloud Era">The Death of Big Data and the Emergence of the Multi-Cloud Era

  The Era of Big Data is coming to an end as the focus shifts from how we collect data to processing that data in real-time. Big Data is now a business asset supporting the next eras of multi-cloud support, machine learning, and real-time analytics.

  https://www.kdnuggets.com/2019/07/death-big-data-multi-cloud-era.html

• A Gentle Guide to Starting Your NLP Project with AllenNLP

  For those who aren’t familiar with AllenNLP, I will give a brief overview of the library and let you know the advantages of integrating it to your project.

  https://www.kdnuggets.com/2019/07/gentle-guide-starting-nlp-project-allennlp.html

• How To Get Funding For AI Startups

  What are the biggest challenges AI startups have when pitching to investors? Learn how to grab their attention with these recommendations on how to start building your AI company.

  https://www.kdnuggets.com/2019/06/funding-ai-startups.html

• How to Make a Success Story of your Data Science Team

  Today, data science is a crucial component for an organization's growth. Given how important data science has grown, it’s important to think about what data scientists add to an organization, how they fit in, and how to hire and build effective data science teams.

  https://www.kdnuggets.com/2019/06/success-story-data-science-team.html

• Understanding Cloud Data Services">Understanding Cloud Data Services

  Ready to move your systems to a cloud vendor or just learning more about big data services? This overview will help you understand big data system architectures, components, and offerings with an end-to-end taxonomy of what is available from the big three cloud providers.

  https://www.kdnuggets.com/2019/06/understanding-cloud-data-services.html

• Customer Churn Prediction Using Machine Learning: Main Approaches and Models

  We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.

  https://www.kdnuggets.com/2019/05/churn-prediction-machine-learning.html

• 2019 Best Masters in Data Science and Analytics – Europe Edition">2019 Best Masters in Data Science and Analytics – Europe Edition

  We provide an updated list of our comprehensive, unbiased survey of graduate programs in Data Science and Analytics from across Europe.

  https://www.kdnuggets.com/2019/04/best-masters-data-science-analytics-europe.html

• Building an image search service from scratch

  By the end of this post, you should be able to build a quick semantic search model from scratch, no matter the size of your dataset.

  https://www.kdnuggets.com/2019/01/building-image-search-service-from-scratch.html

• The SIAM Book Series on Data Science

  SIAM is soliciting manuscripts for its new book series on the mathematical and computational foundations of data science.

  https://www.kdnuggets.com/2019/01/siam-book-series-data-science.html

• The Role of the Data Engineer is Changing

  The role of the data engineer in a startup data team is changing rapidly. Are you thinking about it the right way?

  https://www.kdnuggets.com/2019/01/role-data-engineer-changing.html

• KDnuggets Site Map

  About KDnuggets Awards and Honors for KDnuggets Companies, offering Bioinformatics products and solutions Data Science and Analytics products Consulting and Training Data Warehousing and OLAP Read more »

  https://www.kdnuggets.com/about/site-map.html

• Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019">Industry Predictions: AI, Machine Learning, Analytics & Data Science Main Developments in 2018 and Key Trends for 2019

  This is a collection of data science, machine learning, analytics, and AI predictions for next year from a number of top industry organizations. See what the insiders feel is on the horizon for 2019!

  https://www.kdnuggets.com/2018/12/predictions-industry-2019.html

• The Most in Demand Skills for Data Scientists">The Most in Demand Skills for Data Scientists

  Data scientists are expected to know a lot — machine learning, computer science, statistics, mathematics, data visualization, communication, and deep learning. How should data scientists who want to be in demand by employers spend their learning budget?

  https://www.kdnuggets.com/2018/11/most-demand-skills-data-scientists.html

• The Intuitions Behind Bayesian Optimization with Gaussian Processes

  Bayesian Optimization adds a Bayesian methodology to the iterative optimizer paradigm by incorporating a prior model on the space of possible target functions. This article introduces the basic concepts and intuitions behind Bayesian Optimization with Gaussian Processes.

  https://www.kdnuggets.com/2018/10/intuitions-behind-bayesian-optimization-gaussian-processes.html

• 5 “Clean Code” Tips That Will Dramatically Improve Your Productivity

  TL;DR: If it isn’t tested, it’s broken; Choose meaningful names; Classes and functions should be small and obey the Single Responsibility Principle (SRP); Catch and handle exceptions, even if you don’t think you need to; Logs, logs, logs

  https://www.kdnuggets.com/2018/10/5-clean-code-tips-dramatically-improve-productivity.html

• Introduction to Deep Learning

  I decided to begin to put some structure in my understanding of Neural Networks through this series of articles.

  https://www.kdnuggets.com/2018/09/introduction-deep-learning.html

• Intuitive Ensemble Learning Guide with Gradient Boosting

  This tutorial discusses the importance of ensemble learning with gradient boosting as a study case.

  https://www.kdnuggets.com/2018/07/intuitive-ensemble-learning-guide-gradient-boosting.html

• Genetic Algorithm Implementation in Python">Genetic Algorithm Implementation in Python

  This tutorial will implement the genetic algorithm optimization technique in Python based on a simple example in which we are trying to maximize the output of an equation.

  https://www.kdnuggets.com/2018/07/genetic-algorithm-implementation-python.html

• Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?”">Beginners Ask “How Many Hidden Layers/Neurons to Use in Artificial Neural Networks?”

  By the end of this article, you could at least get the idea of how these questions are answered and be able to test yourself based on simple examples.

  https://www.kdnuggets.com/2018/07/beginners-ask-how-many-hidden-layers-neurons-neural-networks.html

• What is Minimum Viable (Data) Product?

  This post gives a personal insight into what Minimum Viable Product means for Machine Learning and the importance of starting small and iterating.

  https://www.kdnuggets.com/2018/07/minimum-viable-data-product.html

• How to Execute R and Python in SQL Server with Machine Learning Services

  Machine Learning Services in SQL Server eliminates the need for data movement - you can install and run R/Python packages to build Deep Learning and AI applications on data in SQL Server.

  https://www.kdnuggets.com/2018/06/microsoft-azure-machine-learning-r-python-sql-server.html

• Packaging and Distributing Your Python Project to PyPI for Installation Using pip

  This tutorial will explain the steps required to package your Python projects, distribute them in distribution formats using steptools, upload them into the Python Package Index (PyPI) repository using twine, and finally installation using Python installers such as pip and conda.

  https://www.kdnuggets.com/2018/06/packaging-distributing-python-project-pypi-pip.html

• Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API">Complete Guide to Build ConvNet HTTP-Based Application using TensorFlow and Flask RESTful Python API

  In this tutorial, a CNN is to be built, and trained and tested against the CIFAR10 dataset. To make the model remotely accessible, a Flask Web application is created using Python to receive an uploaded image and return its classification label using HTTP.

  https://www.kdnuggets.com/2018/05/complete-guide-convnet-tensorflow-flask-restful-python-api.html

• How to Make AI More Accessible

  I recently was a guest speaker at the Stanford AI Salon on the topic of accessiblity in AI, which included a free-ranging discussion among assembled members of the Stanford AI Lab. There were a number of interesting questions and topics, so I thought I would share a few of my answers here.

  https://www.kdnuggets.com/2018/04/make-ai-more-accessible.html

• Building Convolutional Neural Network using NumPy from Scratch">Building Convolutional Neural Network using NumPy from Scratch

  In this article, CNN is created using only NumPy library. Just three layers are created which are convolution (conv for short), ReLU, and max pooling.

  https://www.kdnuggets.com/2018/04/building-convolutional-neural-network-numpy-scratch.html

• Derivation of Convolutional Neural Network from Fully Connected Network Step-By-Step

  What are the advantages of ConvNets over FC networks in image analysis? How is ConvNet derived from FC networks? Where the term convolution in CNNs came from? These questions are to be answered in this article.

  https://www.kdnuggets.com/2018/04/derivation-convolutional-neural-network-fully-connected-step-by-step.html

• How To Choose The Right Chart Type For Your Data

  The power of charts to assist in accurate interpretation is massive and that's why it is vital to select the correct type when you are trying to visualize data.

  https://www.kdnuggets.com/2018/04/right-chart-your-data.html

• Comparing Deep Learning Frameworks: A Rosetta Stone Approach

  A Rosetta Stone of deep-learning frameworks has been created to allow data-scientists to easily leverage their expertise from one framework to another.

  https://www.kdnuggets.com/2018/03/deep-learning-frameworks.html

• 5 Things You Need to Know about Sentiment Analysis and Classification">5 Things You Need to Know about Sentiment Analysis and Classification

  We take a look at the important things you need to know about sentiment analysis, including social media, classification, evaluation metrics and how to visualise the results.

  https://www.kdnuggets.com/2018/03/5-things-sentiment-analysis-classification.html

• Introduction to Optimization with Genetic Algorithm">Introduction to Optimization with Genetic Algorithm

  This article gives a brief introduction about evolutionary algorithms (EAs) and describes genetic algorithm (GA) which is one of the simplest random-based EAs.

  https://www.kdnuggets.com/2018/03/introduction-optimization-with-genetic-algorithm.html

• 18 Inspiring Women In AI, Big Data, Data Science, Machine Learning">18 Inspiring Women In AI, Big Data, Data Science, Machine Learning

  For the 2018 international women's day, we profile 18 inspiring women who lead the field in AI, Analytics, Big Data , Data science, and Machine Learning areas.

  https://www.kdnuggets.com/2018/03/inspiring-women-ai-big-data-science.html

• Top Stories, Feb 19-25: Top 20 Python AI and Machine Learning Open Source Projects; Deep Learning Development with Google Colab, TensorFlow, Keras & PyTorch

  Also: Want a Job in Data? Learn This; A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018; 5 Fantastic Practical Natural Language Processing Resources; Neural network AI is simple

  https://www.kdnuggets.com/2018/02/top-news-week-0219-0225.html

• A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018">A Comparative Analysis of Top 6 BI and Data Visualization Tools in 2018

  In this article, we will compare the most commonly used platforms and analyze their main features to help you choose one or several platforms that will provide indispensable aid for your work communication.

  https://www.kdnuggets.com/2018/02/comparative-analysis-top-6-bi-data-visualization-tools-2018.html

• Calculating Customer Lifetime Value: SQL Example

  In order to understand how to estimate LTV, it is useful to first think about evaluating a customer’s lifetime value at the end of their relationship with us.

  https://www.kdnuggets.com/2018/02/calculating-customer-lifetime-value-sql-example.html

• Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI">Comparing Machine Learning as a Service: Amazon, Microsoft Azure, Google Cloud AI

  A complete and unbiased comparison of the three most common Cloud Technologies for Machine Learning as a Service.

  https://www.kdnuggets.com/2018/01/mlaas-amazon-microsoft-azure-google-cloud-ai.html

• How I started with learning AI in the last 2 months">How I started with learning AI in the last 2 months

  The relevance of a full stack developer will not be enough in the changing scenario of things. In the next two years, full stack will not be full stack without AI skills.

  https://www.kdnuggets.com/2017/10/how-started-learning-ai.html

• Statistical Mistakes Even Scientists Make

  Scientists are all experts in statistics, right? Wrong.

  https://www.kdnuggets.com/2017/10/statistical-mistakes-even-scientists-make.html