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  • Resources for getting started with Python and machine learning

    Advance from building a first program to building a neural network.

    Source: Opensource
    11958
  • 5 Fantastic Practical Natural Language Processing Resources

    This post presents 5 practical resources for getting a start in natural language processing, covering a wide array of topics and approaches.

    Source: Kdnugget
    43668
  • Ranking Popular Deep Learning Libraries for Data Science

    We rank 23 open-source deep learning libraries that are useful for Data Science. The ranking is based on equally weighing its three components: Github and Stack Overflow activity, as well as Google search results.

    Source: Kdnugget
    22818
  • Light on Math Machine Learning: Intuitive Guide to Convolution Neural Networks

    Convolution neural networks (CNNs) are a family of deep networks that can exploit the spatial structure of data (e.g. images) to learn about the data, so that the algorithm can output something useful.

    Source: HOB
    11415
  • List of Best Open Source ML Libraries For Python

    Open source platform like Python play an important role in the Machine learning market. Python has a large collection of libraries. The simplicity of python has attracted many developers to build libraries for Machine learning.

    Source: HOB
    18660
  • Creating A Deep Learning Model Using Keras

    Deep learning is an increasingly popular subset of machine learning. Deep learning models are built using neural networks. A neural network takes in inputs, which are then processed in hidden layers using weights that are adjusted during training.

    Source: HOB
    23796
  • Tutorials The Helping Hand To Learn About Deep Learning With Python

    Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go, a game where intuition plays a key role. But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.

    Source: HOB
    15177
  • Few applications of deep learning for a beginner (using Python)

    Deep learning seems to be leading as in data science as it is more researched. There are many applications which can help you build a save future as predicted by the data scientist. Deep learning looks hard and intimidating. Applications like TensorFlow, Keras, GPU based computing might scare you but in reality, it is not too hard and its take time effort and time to follow, and applying these applications in regular problems is easy.

    Source: HOB
    30546
  • A Lot Of Things Aren't Working In Deep Learning

    This may be the golden age of deep learning but a lot can be learned by looking at where deep neural nets aren't working yet. This can be a guide to calming the hype. It can also be a roadmap to future opportunities once these barriers are behind us.

    Source: HOB
    9270
  • Kick Start With Machine Learning As Per Data Scientists Tips

    If you plan to start learning machine-learning models then you'll need a reasonably deep knowledge of math, spanning linear algebra, calculus, and statistics. But for beginners in the field, learning the basics of programming and getting to grips with a language like Python, which is commonly used for machine-learning tasks.

    Source: HOB
    20730
  • High In-Demand Programming Language Frameworks & Tools For Machine Learning Engineers

    More than 1,300 people mainly working in the tech, finance, and healthcare revealed which machine-learning technologies they use at their firms, in a new O'Reilly survey.

    Source: HOB
    29724
  • Become A Champion In Deep Learning Through This Course

    In this crash course, you will discover how you can confidently get better performance from your deep learning models in seven days.

    Source: HOB
    28167
  • Learn Computer Vision With These Top Class Books

    This article is supposed to make you familiar you some of the most useful books on Computer Vision which will give you a thorough understanding of the field and will imbibe deeper understanding in you of the various concepts.

    Source: HOB
    7611
  • Most Popular 10 Free Courses For Machine Learning & Data Science

    Here are 10 machine learning courses to help with your spring learning season. Courses range from introductory machine learning to deep learning to natural language processing and beyond.

    Source: HOB
    18393
  • Dive Into the World of Deep Learning with These Most Trusted Books

    This article will take you to the best books that you can find of Deep Learning.

    Source: HOB
    7992
  • Learn the Different Frameworks of Deep Learning- Keras, Pytorch, Theano, TensorFlow and easily Compare them

    Well-architected API on top of either Tensorflow or Theano and potentially extensible as a shim over other deep learning engines as well.

    Source: HOB
    16881
  • Some key points that separate the Deep Learning Frameworks Keras, PyTorch, and TensorFlow

    Keras, TensorFlow, and PyTorch are among the top three frameworks that are preferred by Data Scientists as well as beginners in the field of Deep Learning.

    Source: HOB
    12207
  • Beginners should use Keras for Creating Deep Learning models

    Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures.

    Source: HOB
    6015
  • What are the ways you can learn different Deep Learning Frameworks?

    Here are some resources to learn deep learning frameworks.

    Source: HOB
    7506
  • Google improve its facial recognition technology and the new TensorFlow 2.0 has been released

    Facial recognition datasets are unfairly dominated by images of white men, so Google hired third-party contractors to go around recording people's faces by offering them vouchers.

    Source: HOB
    8655
  • Have good hands-on Apache Spark: Deep Learning Framework

    Apache Spark is the buzzword in the big data industry right now, especially with the increasing need for real-time streaming and data processing.

    Source: HOB
    8376
  • Deep Learning Books beginners should note

    An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.

    Source: HOB
    5721
  • Learn Deep Learning (Neural Networks) Models from scratch

    You will learn about the different deep learning models and build your first deep learning model using the Keras library.

    Source: HOB
    6684
  • Some easy tips to find a Data Science Jobs through Data Science Training

    Data science in its very brief form is the science of drawing out insights and information out of raw data using a mixture of various tools, algorithms, and machine learning principles.

    Source: HOB
    5664
  • Grasp Deep Learning Neural networks through some of these books

    Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.

    Source: HOB
    6387
  • Make the learning process easy through these Artificial Intelligence Courses

    AI is not only for engineers. If you want your organization to become better at using AI, this is the course to tell everyone especially your non-technical colleagues to take.

    Source: HOB
    6189
  • Famous books for learning Apache Spark

    Quickly dive into Spark capabilities such as distributed datasets, in-memory caching, and the interactive shell

    Source: HOB
    6813
  • Some directly approachable Books of Deep Learning

    Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms.

    Source: HOB
    5487
  • Refer these books to have a thorough knowledge of Artificial intelligence

    These books provide multiple examples enabling you to create smart applications to meet the needs of your organization. In every chapter, we explain an algorithm, implement it, and then build a smart application.

    Source: HOB
    5247
  • Understand the major technology trend driving Deep Learning, through these courses

    Deep learning engineers are highly sought after, and mastering deep learning will give you numerous new career opportunities.

    Source: HOB
    6381
  • Some major reasons that gave rise to AI Revenue

    Over the past many years, the Artificial Intelligence revolution has provided a quality response to the different range of technologies.

    Source: HOB
    4968
  • Why one should learn Python Language?

    Many programming languages are used today, some are used, and some have gone obsolete. In the last few years, the programming scenario has changed drastically as developers and programmers are searching for more universal and approachable languages.

    Source: HOB
    4692
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